update convolution opencl kernels in dnn module (#11762)

* optimize ocl kernel enqueue in fc layer

Signed-off-by: Li Peng <peng.li@intel.com>

* use CV_LOG_INFO in convolution auto tuning

Signed-off-by: Li Peng <peng.li@intel.com>

* update convolution IDLF kernel

extend parameter tuning range, also cleanup
ocl kernel implementation

Signed-off-by: Li Peng <peng.li@intel.com>

* update in-memory convolution cache config

fp16 and fp32 cache config are stored separately

Signed-off-by: Li Peng <peng.li@intel.com>

4 files changed, 985 insertions, 586 deletions

diff --git a/modules/dnn/src/layers/fully_connected_layer.cpp b/modules/dnn/src/layers/fully_connected_layer.cpp
index 5152d60269..499f672918 100644
--- a/modules/dnn/src/layers/fully_connected_layer.cpp
+++ b/modules/dnn/src/layers/fully_connected_layer.cpp
@@ -310,7 +310,6 @@ public:
             innerProductOp = Ptr<OCL4DNNInnerProduct<float> >(new OCL4DNNInnerProduct<float>(config));
         }
 
-        UMat biasOnesMat = UMat::ones(outerSize, 1, umat_blobs[0].type());
         for (size_t i = 0; i < inputs.size(); i++)
         {
             MatShape inshape, outshape;
@@ -320,7 +319,6 @@ public:
             UMat srcMat, dstMat;
             srcMat = inputs[i].reshape(1, inshape.size(), &inshape[0]);
             dstMat = outputs[i].reshape(1, outshape.size(), &outshape[0]);
-            dstMat.setTo(0.0f);
 
             if (!innerProductOp->Forward(srcMat, (use_half) ? half_blobs[0] : umat_blobs[0],
                                          (bias) ? (use_half ? half_blobs[1] : umat_blobs[1]) : UMat(),
@@ -332,6 +330,7 @@ public:
 
             if (!use_half && bias && (outerSize > 1))
             {
+                UMat biasOnesMat = UMat::ones(outerSize, 1, umat_blobs[0].type());
                 UMat& biases = umat_blobs[1];
                 cv::gemm(biasOnesMat, biases, 1, dstMat, 1, dstMat, 0);
             }
@@ -354,6 +353,7 @@ public:
 
             if (bias)
             {
+                UMat biasOnesMat = UMat::ones(outerSize, 1, umat_blobs[0].type());
                 UMat& biases = umat_blobs[1];
                 cv::gemm(biasOnesMat, biases, 1, dstMat, 1, dstMat, 0);
             }
diff --git a/modules/dnn/src/ocl4dnn/include/default_kernel_config.hpp b/modules/dnn/src/ocl4dnn/include/default_kernel_config.hpp
index 09e0c27473..a25b2bf0d5 100644
--- a/modules/dnn/src/ocl4dnn/include/default_kernel_config.hpp
+++ b/modules/dnn/src/ocl4dnn/include/default_kernel_config.hpp
@@ -1,23 +1,24 @@
 #ifndef _OPENCV_OCL4DNN_DEFAULT_KERNEL_CONFIG_HPP_
 #define _OPENCV_OCL4DNN_DEFAULT_KERNEL_CONFIG_HPP_
-const char *default_kernel_config_intel[] = {
+const char *default_kernel_config_intel_fp32[] = {
 // Below is the information for OpenCL based on which these configurations tuned
 /*******************************************************************************
 Number of platforms                               1
-  Platform Name                                   Intel(R) OpenCL
+  Platform Name                                   Intel(R) OpenCL HD Graphics
   Platform Vendor                                 Intel(R) Corporation
-  Platform Version                                OpenCL 2.0
+  Platform Version                                OpenCL 2.1
   Platform Profile                                FULL_PROFILE
-  Platform Extensions                             cl_intel_accelerator cl_intel_advanced_motion_estimation cl_intel_device_side_avc_motion_estimation cl_intel_driver_diagnostics cl_intel_media_block_io cl_intel_motion_estimation cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_required_subgroup_size cl_intel_subgroups cl_intel_subgroups_short cl_intel_va_api_media_sharing cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_fp16 cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_khr_spir cl_khr_subgroups
+  Platform Extensions                             cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_depth_images cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_intel_subgroups cl_intel_required_subgroup_size cl_intel_subgroups_short cl_khr_spir cl_intel_accelerator cl_intel_media_block_io cl_intel_driver_diagnostics cl_intel_device_side_avc_motion_estimation cl_khr_priority_hints cl_khr_throttle_hints cl_khr_create_command_queue cl_khr_subgroups cl_khr_il_program cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_khr_fp64 cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_motion_estimation cl_intel_advanced_motion_estimation
+  Platform Host timer resolution                  1ns
   Platform Extensions function suffix             INTEL
 
-  Platform Name                                   Intel(R) OpenCL
+  Platform Name                                   Intel(R) OpenCL HD Graphics
 Number of devices                                 1
-  Device Name                                     Intel(R) HD Graphics
+  Device Name                                     Intel(R) Gen9 HD Graphics NEO
   Device Vendor                                   Intel(R) Corporation
   Device Vendor ID                                0x8086
-  Device Version                                  OpenCL 2.0
-  Driver Version                                  r4.1.61547
+  Device Version                                  OpenCL 2.1 NEO
+  Driver Version                                  2018ww15-010713
   Device OpenCL C Version                         OpenCL C 2.0
   Device Type                                     GPU
   Device Profile                                  FULL_PROFILE
@@ -25,11 +26,12 @@ Number of devices                                 1
   Max clock frequency                             950MHz
   Device Partition                                (core)
     Max number of sub-devices                     0
-    Supported partition types                     by <unknown> (0x7F2F00000000)
+    Supported partition types                     None
   Max work item dimensions                        3
   Max work item sizes                             256x256x256
   Max work group size                             256
   Preferred work group size multiple              32
+  Max sub-groups per work group                   32
   Preferred / native vector sizes
     char                                                16 / 16
     short                                                8 / 8
@@ -66,15 +68,15 @@ Number of devices                                 1
     Support is emulated in software               No
     Correctly-rounded divide and sqrt operations  No
   Address bits                                    64, Little-Endian
-  Global memory size                              26888119911 (25.04GiB)
+  Global memory size                              26892222464 (25.05GiB)
   Error Correction support                        No
-  Max memory allocation                           4294959103 (4GiB)
+  Max memory allocation                           4294959104 (4GiB)
   Unified memory for Host and Device              Yes
   Shared Virtual Memory (SVM) capabilities        (core)
     Coarse-grained buffer sharing                 Yes
-    Fine-grained buffer sharing                   Yes
+    Fine-grained buffer sharing                   No
     Fine-grained system sharing                   No
-    Atomics                                       Yes
+    Atomics                                       No
   Minimum alignment for any data type             128 bytes
   Alignment of base address                       1024 bits (128 bytes)
   Preferred alignment for atomics
@@ -82,13 +84,13 @@ Number of devices                                 1
     Global                                        64 bytes
     Local                                         64 bytes
   Max size for global variable                    65536 (64KiB)
-  Preferred total size of global vars             4294959103 (4GiB)
+  Preferred total size of global vars             4294959104 (4GiB)
   Global Memory cache type                        Read/Write
   Global Memory cache size                        1572864
   Global Memory cache line                        64 bytes
   Image support                                   Yes
     Max number of samplers per kernel             16
-    Max size for 1D images from buffer            268434943 pixels
+    Max size for 1D images from buffer            268434944 pixels
     Max 1D or 2D image array size                 2048 images
     Base address alignment for 2D image buffers   4 bytes
     Pitch alignment for 2D image buffers          4 bytes
@@ -102,7 +104,7 @@ Number of devices                                 1
   Max pipe packet size                            1024
   Local memory type                               Local
   Local memory size                               65536 (64KiB)
-  Max constant buffer size                        4294959103 (4GiB)
+  Max constant buffer size                        4294959104 (4GiB)
   Max number of constant args                     8
   Max size of kernel argument                     1024
   Queue properties (on host)
@@ -120,114 +122,171 @@ Number of devices                                 1
   Execution capabilities
     Run OpenCL kernels                            Yes
     Run native kernels                            No
+    Sub-group independent forward progress        Yes
+    IL version                                    SPIR-V_1.0
     SPIR versions                                 1.2
   printf() buffer size                            4194304 (4MiB)
-  Built-in kernels                                block_motion_estimate_intel;block_advanced_motion_estimate_check_intel;block_advanced_motion_estimate_bidirectional_check_intel
+  Built-in kernels                                block_motion_estimate_intel;block_advanced_motion_estimate_check_intel;block_advanced_motion_estimate_bidirectional_check_intel;
   Motion Estimation accelerator version	(Intel)   2
   Device Available                                Yes
   Compiler Available                              Yes
   Linker Available                                Yes
-  Device Extensions                               cl_intel_accelerator cl_intel_advanced_motion_estimation cl_intel_device_side_avc_motion_estimation cl_intel_driver_diagnostics cl_intel_media_block_io cl_intel_motion_estimation cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_required_subgroup_size cl_intel_subgroups cl_intel_subgroups_short cl_intel_va_api_media_sharing cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_fp16 cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_khr_spir cl_khr_subgroups
+  Device Extensions                               cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_depth_images cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_intel_subgroups cl_intel_required_subgroup_size cl_intel_subgroups_short cl_khr_spir cl_intel_accelerator cl_intel_media_block_io cl_intel_driver_diagnostics cl_intel_device_side_avc_motion_estimation cl_khr_priority_hints cl_khr_throttle_hints cl_khr_create_command_queue cl_khr_subgroups cl_khr_il_program cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_khr_fp64 cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_motion_estimation cl_intel_advanced_motion_estimation
 
 NULL platform behavior
-  clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...)  No platform
-  clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...)   No platform
-  clCreateContext(NULL, ...) [default]            No platform
-  clCreateContext(NULL, ...) [other]              Success [INTEL]
-  clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU)  No platform
-  clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU)  No platform
-  clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR)  No platform
-  clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM)  No platform
-  clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL)  No platform
+  clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...)  Intel(R) OpenCL HD Graphics
+  clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...)   Success [INTEL]
+  clCreateContext(NULL, ...) [default]            Success [INTEL]
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU)  No devices found in platform
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU)  Success (1)
+    Platform Name                                 Intel(R) OpenCL HD Graphics
+    Device Name                                   Intel(R) Gen9 HD Graphics NEO
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR)  No devices found in platform
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM)  No devices found in platform
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL)  Success (1)
+    Platform Name                                 Intel(R) OpenCL HD Graphics
+    Device Name                                   Intel(R) Gen9 HD Graphics NEO
+
+ICD loader properties
+  ICD loader Name                                 OpenCL ICD Loader
+  ICD loader Vendor                               OCL Icd free software
+  ICD loader Version                              2.2.8
+  ICD loader Profile                              OpenCL 1.2
+      NOTE:	your OpenCL library declares to support OpenCL 1.2,
+                but it seems to support up to OpenCL 2.1 too.
 ********************************************************************************/
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-"EU72_k3x3_cn128_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0","5 5 16 2 1 1 16 1 0 ",
-"EU72_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0","2 4 16 2 1 1 16 1 0 ",
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-"EU72_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0","6 3 8 2 1 1 8 1 0 ",
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-"EU72_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M96_activ1_eltwise0","14 1 8 2 1 1 8 1 0 ",
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-"EU72_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0","2 10 16 2 1 1 16 1 0 ",
-"EU72_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0","4 6 8 2 1 1 8 1 0 ",
-"EU72_k5x5_cn48_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0","2 2 16 2 1 1 16 1 0 ",
-"EU72_k1x1_cn256_g1_s2x2_d1x1_b1_in64x64_p0x0_num1_M128_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU72_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0","14 1 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M256_activ1_eltwise1","1 16 32 5 1 16 1 1 0 ",
-"EU72_k3x3_cn160_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M320_activ1_eltwise0","2 5 16 2 1 1 16 1 0 ",
-"EU72_k11x11_cn3_g1_s4x4_d1x1_b1_in240x240_p0x0_num1_M96_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
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-"EU72_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M16_activ1_eltwise0","6 2 8 2 1 1 8 1 0 ",
-"EU72_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0","2 5 16 2 1 1 16 1 0 ",
-"EU72_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0","5 2 16 2 1 1 16 1 0 ",
-"EU72_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M16_activ1_eltwise0","7 2 8 2 1 1 8 1 0 ",
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-"EU72_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M192_activ1_eltwise0","2 10 16 2 1 1 16 1 0 ",
-"EU72_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M384_activ1_eltwise0","2 7 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0","14 1 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0","2 7 8 2 1 1 8 1 0 ",
-"EU72_k3x3_cn112_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M224_activ1_eltwise0","4 2 16 2 1 1 16 1 0 ",
-"EU72_k1x1_cn2048_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M512_activ1_eltwise0","7 3 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0","7 2 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0","2 6 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M256_activ0_eltwise0","1 16 32 5 1 16 1 1 0 ",
-"EU72_k5x5_cn32_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M96_activ1_eltwise0","4 3 16 2 1 1 16 1 0 ",
-"EU72_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0","5 2 16 2 1 1 16 1 0 ",
-"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M144_activ1_eltwise0","7 3 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU72_k1x1_cn512_g1_s2x2_d1x1_b1_in32x32_p0x0_num1_M256_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU72_k7x7_cn3_g1_s2x2_d1x1_b1_in224x224_p3x3_num1_M64_activ1_eltwise0","4 3 16 2 1 1 16 1 0 ",
-"EU72_k1x1_cn512_g1_s2x2_d1x1_b1_in32x32_p0x0_num1_M1024_activ0_eltwise0","1 16 32 5 1 16 1 1 0 ",
-"EU72_k1x1_cn256_g1_s2x2_d1x1_b1_in64x64_p0x0_num1_M512_activ0_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU72_k1x1_cn1024_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M2048_activ0_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU72_k1x1_cn128_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M512_activ1_eltwise1","1 16 32 5 1 16 1 1 0 ",
-"EU72_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0","4 3 16 2 1 1 16 1 0 ",
-"EU72_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M128_activ1_eltwise0","2 5 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M1024_activ1_eltwise1","1 16 32 5 1 16 1 1 0 ",
-"EU72_k1x1_cn1024_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M512_activ1_eltwise0","7 2 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ1_eltwise0","9 2 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0","14 2 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0","14 1 8 2 1 1 8 1 0 ",
-"EU72_k3x3_cn144_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M288_activ1_eltwise0","2 4 16 2 1 1 16 1 0 ",
-"EU72_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M96_activ1_eltwise0","14 2 16 2 1 1 16 1 0 ",
-"EU72_k3x3_cn96_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0","3 6 16 2 1 1 16 1 0 ",
-"EU72_k5x5_cn96_g2_s1x1_d1x1_b1_in32x32_p2x2_num1_M128_activ1_eltwise0","4 3 16 2 1 1 16 1 0 ",
-"EU72_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M64_activ1_eltwise0","7 3 16 2 1 1 16 1 0 ",
-"EU72_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M192_activ1_eltwise0","7 3 16 2 1 1 16 1 0 ",
-"EU72_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0","5 2 8 2 1 1 8 1 0 ",
-"EU72_k5x5_cn24_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0","3 2 16 2 1 1 16 1 0 ",
-"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0","7 4 8 2 1 1 8 1 0 ",
-"EU72_k5x5_cn16_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M32_activ1_eltwise0","4 2 16 2 1 1 16 1 0 ",
-"EU72_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0","7 2 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0","14 1 8 2 1 1 8 1 0 ",
-"EU72_k5x5_cn16_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M48_activ1_eltwise0","4 2 16 2 1 1 16 1 0 ",
-"EU72_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0","5 2 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0","8 3 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0","7 3 8 2 1 1 8 1 0 ",
-"EU72_k3x3_cn96_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M208_activ1_eltwise0","3 2 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0","10 2 8 2 1 1 8 1 0 ",
-"EU72_k3x3_cn512_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M512_activ1_eltwise0","2 3 16 2 1 1 16 1 0 ",
-"EU72_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M192_activ1_eltwise0","5 2 8 2 1 1 8 1 0 ",
-"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M2048_activ1_eltwise1","2 8 32 5 1 8 1 1 0 ",
+
+"EU72_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M1024_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU72_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M1024_activ5_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU72_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M126_activ0_eltwise0_FP32", "6 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ0_eltwise0_FP32", "2 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP32", "8 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ5_eltwise0_FP32", "5 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M546_activ0_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn128_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M126_activ0_eltwise0_FP32", "1 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn128_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ0_eltwise0_FP32", "1 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn128_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M546_activ0_eltwise0_FP32", "1 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn128_g1_s1x1_d1x1_b1_in48x48_p0x0_num1_M256_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU72_k1x1_cn128_g1_s1x1_d1x1_b1_in48x48_p0x0_num1_M256_activ5_eltwise0_FP32", "12 2 16 2 1 1 16 1 0",
+"EU72_k1x1_cn128_g1_s1x1_d1x1_b1_in80x80_p0x0_num1_M128_activ1_eltwise0_FP32", "2 8 32 5 1 8 1 1 0",
+"EU72_k1x1_cn128_g1_s1x1_d1x1_b1_in80x80_p0x0_num1_M128_activ5_eltwise0_FP32", "8 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M16_activ1_eltwise0_FP32", "8 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0_FP32", "8 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0_FP32", "8 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M96_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M126_activ0_eltwise0_FP32", "1 3 8 2 1 1 8 1 0",
+"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP32", "2 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ5_eltwise0_FP32", "2 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ0_eltwise0_FP32", "1 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M546_activ0_eltwise0_FP32", "3 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP32", "1 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ5_eltwise0_FP32", "2 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0_FP32", "8 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M512_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M512_activ5_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0_FP32", "8 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in48x48_p0x0_num1_M256_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU72_k1x1_cn256_g1_s1x1_d1x1_b1_in48x48_p0x0_num1_M256_activ5_eltwise0_FP32", "8 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn32_g1_s1x1_d1x1_b1_in160x160_p0x0_num1_M64_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU72_k1x1_cn32_g1_s1x1_d1x1_b1_in160x160_p0x0_num1_M64_activ5_eltwise0_FP32", "1 16 32 5 1 16 1 1 0",
+"EU72_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M16_activ1_eltwise0_FP32", "5 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0_FP32", "8 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP32", "7 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M96_activ1_eltwise0_FP32", "7 2 8 2 1 1 8 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M1024_activ1_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M1024_activ5_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M112_activ1_eltwise0_FP32", "8 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M126_activ0_eltwise0_FP32", "5 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP32", "8 2 8 2 1 1 8 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ5_eltwise0_FP32", "5 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M144_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP32", "8 2 8 2 1 1 8 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ0_eltwise0_FP32", "3 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ1_eltwise0_FP32", "4 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP32", "7 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M546_activ0_eltwise0_FP32", "3 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP32", "8 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M12_activ0_eltwise0_FP32", "6 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M273_activ0_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M512_activ1_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M512_activ5_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M63_activ0_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP32", "8 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP32", "8 2 8 2 1 1 8 1 0",
+"EU72_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU72_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP32", "8 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU72_k1x1_cn64_g1_s1x1_d1x1_b1_in80x80_p0x0_num1_M128_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU72_k1x1_cn64_g1_s1x1_d1x1_b1_in80x80_p0x0_num1_M128_activ5_eltwise0_FP32", "2 8 32 5 1 8 1 1 0",
+"EU72_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP32", "7 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP32", "7 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0_FP32", "7 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP32", "7 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP32", "5 1 8 2 1 1 8 1 0",
+"EU72_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M384_activ1_eltwise0_FP32", "7 2 8 2 1 1 8 1 0",
+"EU72_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M48_activ1_eltwise0_FP32", "5 1 8 2 1 1 8 1 0",
+"EU72_k3x3_cn1024_g1024_s1x1_d1x1_b1_in16x16_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn1024_g1024_s1x1_d1x1_b1_in16x16_p1x1_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn112_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M224_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU72_k3x3_cn128_g128_s1x1_d1x1_b1_in80x80_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn128_g128_s1x1_d1x1_b1_in80x80_p1x1_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn128_g128_s2x2_d1x1_b1_in80x80_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn128_g128_s2x2_d1x1_b1_in80x80_p1x1_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn128_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0_FP32", "14 2 16 2 1 1 16 1 0",
+"EU72_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M192_activ1_eltwise0_FP32", "14 2 16 2 1 1 16 1 0",
+"EU72_k3x3_cn128_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M256_activ5_eltwise0_FP32", "3 1 8 2 1 1 8 1 0",
+"EU72_k3x3_cn128_g1_s2x2_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0_FP32", "1 1 16 2 1 1 16 1 0",
+"EU72_k3x3_cn144_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M288_activ1_eltwise0_FP32", "14 2 16 2 1 1 16 1 0",
+"EU72_k3x3_cn160_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M320_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU72_k3x3_cn192_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU72_k3x3_cn256_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M512_activ5_eltwise0_FP32", "3 1 16 2 1 1 16 1 0",
+"EU72_k3x3_cn256_g1_s2x2_d1x1_b1_in16x16_p1x1_num1_M512_activ1_eltwise0_FP32", "5 1 16 2 1 1 16 1 0",
+"EU72_k3x3_cn256_g256_s1x1_d1x1_b1_in48x48_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn256_g256_s1x1_d1x1_b1_in48x48_p1x1_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn256_g256_s2x2_d1x1_b1_in48x48_p0x0_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn256_g256_s2x2_d1x1_b1_in48x48_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn32_g32_s1x1_d1x1_b1_in160x160_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn32_g32_s1x1_d1x1_b1_in160x160_p1x1_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn3_g1_s2x2_d1x1_b1_in256x256_p0x0_num1_M32_activ5_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU72_k3x3_cn3_g1_s2x2_d1x1_b1_in256x256_p1x1_num1_M32_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU72_k3x3_cn512_g512_s1x1_d1x1_b1_in32x32_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn512_g512_s1x1_d1x1_b1_in32x32_p1x1_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn512_g512_s2x2_d1x1_b1_in32x32_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn512_g512_s2x2_d1x1_b1_in32x32_p1x1_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M192_activ1_eltwise0_FP32", "14 2 16 2 1 1 16 1 0",
+"EU72_k3x3_cn64_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M128_activ5_eltwise0_FP32", "1 1 8 2 1 1 8 1 0",
+"EU72_k3x3_cn64_g1_s2x2_d1x1_b1_in16x16_p1x1_num1_M128_activ1_eltwise0_FP32", "1 1 16 2 1 1 16 1 0",
+"EU72_k3x3_cn64_g64_s2x2_d1x1_b1_in160x160_p0x0_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn64_g64_s2x2_d1x1_b1_in160x160_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU72_k3x3_cn96_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M208_activ1_eltwise0_FP32", "7 2 16 2 1 1 16 1 0",
+"EU72_k3x3_cn96_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0_FP32", "7 2 16 2 1 1 16 1 0",
+"EU72_k5x5_cn16_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M48_activ1_eltwise0_FP32", "4 2 8 2 1 1 8 1 0",
+"EU72_k5x5_cn16_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M32_activ1_eltwise0_FP32", "6 1 16 2 1 1 16 1 0",
+"EU72_k5x5_cn24_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0_FP32", "5 1 16 2 1 1 16 1 0",
+"EU72_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0_FP32", "5 1 16 2 1 1 16 1 0",
+"EU72_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0_FP32", "6 1 16 2 1 1 16 1 0",
+"EU72_k5x5_cn32_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M96_activ1_eltwise0_FP32", "7 2 16 2 1 1 16 1 0",
+"EU72_k5x5_cn48_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0_FP32", "4 1 16 2 1 1 16 1 0",
+"EU72_k7x7_cn3_g1_s2x2_d1x1_b1_in224x224_p3x3_num1_M64_activ1_eltwise0_FP32", "4 3 16 2 1 1 16 1 0",
 // Below is the information for OpenCL based on which these configurations tuned
 /*******************************************************************************
 Number of platforms                               1
-  Platform Name                                   Intel(R) OpenCL
+  Platform Name                                   Intel(R) OpenCL HD Graphics
   Platform Vendor                                 Intel(R) Corporation
-  Platform Version                                OpenCL 2.0
+  Platform Version                                OpenCL 2.1
   Platform Profile                                FULL_PROFILE
-  Platform Extensions                             cl_intel_accelerator cl_intel_advanced_motion_estimation cl_intel_device_side_avc_motion_estimation cl_intel_driver_diagnostics cl_intel_media_block_io cl_intel_motion_estimation cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_required_subgroup_size cl_intel_subgroups cl_intel_subgroups_short cl_intel_va_api_media_sharing cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_fp16 cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_khr_spir cl_khr_subgroups
+  Platform Extensions                             cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_depth_images cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_intel_subgroups cl_intel_required_subgroup_size cl_intel_subgroups_short cl_khr_spir cl_intel_accelerator cl_intel_media_block_io cl_intel_driver_diagnostics cl_intel_device_side_avc_motion_estimation cl_khr_priority_hints cl_khr_throttle_hints cl_khr_create_command_queue cl_khr_subgroups cl_khr_il_program cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_khr_fp64 cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_motion_estimation cl_intel_advanced_motion_estimation
+  Platform Host timer resolution                  1ns
   Platform Extensions function suffix             INTEL
 
-  Platform Name                                   Intel(R) OpenCL
+  Platform Name                                   Intel(R) OpenCL HD Graphics
 Number of devices                                 1
-  Device Name                                     Intel(R) HD Graphics
+  Device Name                                     Intel(R) Gen9 HD Graphics NEO
   Device Vendor                                   Intel(R) Corporation
   Device Vendor ID                                0x8086
-  Device Version                                  OpenCL 2.0
-  Driver Version                                  r4.1.61547
+  Device Version                                  OpenCL 2.1 NEO
+  Driver Version                                  18.21.10858
   Device OpenCL C Version                         OpenCL C 2.0
   Device Type                                     GPU
   Device Profile                                  FULL_PROFILE
@@ -235,11 +294,12 @@ Number of devices                                 1
   Max clock frequency                             950MHz
   Device Partition                                (core)
     Max number of sub-devices                     0
-    Supported partition types                     by <unknown> (0x7F2200000000)
+    Supported partition types                     None
   Max work item dimensions                        3
   Max work item sizes                             256x256x256
   Max work group size                             256
   Preferred work group size multiple              32
+  Max sub-groups per work group                   32
   Preferred / native vector sizes
     char                                                16 / 16
     short                                                8 / 8
@@ -276,9 +336,9 @@ Number of devices                                 1
     Support is emulated in software               No
     Correctly-rounded divide and sqrt operations  No
   Address bits                                    64, Little-Endian
-  Global memory size                              13361912218 (12.44GiB)
+  Global memory size                              13364170752 (12.45GiB)
   Error Correction support                        No
-  Max memory allocation                           4294959103 (4GiB)
+  Max memory allocation                           4294959104 (4GiB)
   Unified memory for Host and Device              Yes
   Shared Virtual Memory (SVM) capabilities        (core)
     Coarse-grained buffer sharing                 Yes
@@ -292,13 +352,13 @@ Number of devices                                 1
     Global                                        64 bytes
     Local                                         64 bytes
   Max size for global variable                    65536 (64KiB)
-  Preferred total size of global vars             4294959103 (4GiB)
+  Preferred total size of global vars             4294959104 (4GiB)
   Global Memory cache type                        Read/Write
   Global Memory cache size                        1048576
   Global Memory cache line                        64 bytes
   Image support                                   Yes
     Max number of samplers per kernel             16
-    Max size for 1D images from buffer            268434943 pixels
+    Max size for 1D images from buffer            268434944 pixels
     Max 1D or 2D image array size                 2048 images
     Base address alignment for 2D image buffers   4 bytes
     Pitch alignment for 2D image buffers          4 bytes
@@ -312,7 +372,7 @@ Number of devices                                 1
   Max pipe packet size                            1024
   Local memory type                               Local
   Local memory size                               65536 (64KiB)
-  Max constant buffer size                        4294959103 (4GiB)
+  Max constant buffer size                        4294959104 (4GiB)
   Max number of constant args                     8
   Max size of kernel argument                     1024
   Queue properties (on host)
@@ -330,14 +390,16 @@ Number of devices                                 1
   Execution capabilities
     Run OpenCL kernels                            Yes
     Run native kernels                            No
+    Sub-group independent forward progress        Yes
+    IL version                                    SPIR-V_1.0
     SPIR versions                                 1.2
   printf() buffer size                            4194304 (4MiB)
-  Built-in kernels                                block_motion_estimate_intel;block_advanced_motion_estimate_check_intel;block_advanced_motion_estimate_bidirectional_check_intel
+  Built-in kernels                                block_motion_estimate_intel;block_advanced_motion_estimate_check_intel;block_advanced_motion_estimate_bidirectional_check_intel;
   Motion Estimation accelerator version	(Intel)   2
   Device Available                                Yes
   Compiler Available                              Yes
   Linker Available                                Yes
-  Device Extensions                               cl_intel_accelerator cl_intel_advanced_motion_estimation cl_intel_device_side_avc_motion_estimation cl_intel_driver_diagnostics cl_intel_media_block_io cl_intel_motion_estimation cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_required_subgroup_size cl_intel_subgroups cl_intel_subgroups_short cl_intel_va_api_media_sharing cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_fp16 cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_khr_spir cl_khr_subgroups
+  Device Extensions                               cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_depth_images cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_intel_subgroups cl_intel_required_subgroup_size cl_intel_subgroups_short cl_khr_spir cl_intel_accelerator cl_intel_media_block_io cl_intel_driver_diagnostics cl_intel_device_side_avc_motion_estimation cl_khr_priority_hints cl_khr_throttle_hints cl_khr_create_command_queue cl_khr_subgroups cl_khr_il_program cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_khr_fp64 cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_motion_estimation cl_intel_advanced_motion_estimation
 
 NULL platform behavior
   clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...)  No platform
@@ -350,106 +412,155 @@ NULL platform behavior
   clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM)  No platform
   clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL)  No platform
 ********************************************************************************/
-"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M144_activ1_eltwise0","8 3 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0","13 1 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M1024_activ1_eltwise1","1 8 32 5 1 8 1 1 0 ",
-"EU48_k5x5_cn32_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M96_activ1_eltwise0","4 4 16 2 1 1 16 1 0 ",
-"EU48_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M128_activ1_eltwise0","2 5 8 2 1 1 8 1 0 ",
-"EU48_k5x5_cn24_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0","4 2 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn512_g1_s2x2_d1x1_b1_in32x32_p0x0_num1_M1024_activ0_eltwise0","1 16 32 5 1 16 1 1 0 ",
-"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0","7 4 8 2 1 1 8 1 0 ",
-"EU48_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M64_activ1_eltwise0","7 3 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M16_activ1_eltwise0","7 2 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn128_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M512_activ1_eltwise1","1 16 32 5 1 16 1 1 0 ",
-"EU48_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M192_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU48_k3x3_cn512_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M512_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0","14 2 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M96_activ1_eltwise0","14 2 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn256_g1_s2x2_d1x1_b1_in64x64_p0x0_num1_M512_activ0_eltwise0","1 16 32 5 1 16 1 1 0 ",
-"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M112_activ1_eltwise0","8 3 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0","5 2 8 2 1 1 8 1 0 ",
-"EU48_k3x3_cn112_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M224_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU48_k3x3_cn96_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0","2 10 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M48_activ1_eltwise0","5 2 8 2 1 1 8 1 0 ",
-"EU48_k3x3_cn160_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M320_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn256_g1_s2x2_d1x1_b1_in64x64_p0x0_num1_M128_activ1_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU48_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M256_activ0_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0","7 2 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0","7 2 8 2 1 1 8 1 0 ",
-"EU48_k5x5_cn16_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M32_activ1_eltwise0","4 4 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M384_activ1_eltwise0","7 3 8 2 1 1 8 1 0 ",
-"EU48_k3x3_cn144_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M288_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M256_activ1_eltwise1","1 16 32 5 1 16 1 1 0 ",
-"EU48_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU48_k1x1_cn2048_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M512_activ1_eltwise0","3 7 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0","7 2 8 2 1 1 8 1 0 ",
-"EU48_k5x5_cn48_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0","4 3 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ1_eltwise0","5 2 8 2 1 1 8 1 0 ",
-"EU48_k3x3_cn192_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0","2 4 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0","7 2 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M16_activ1_eltwise0","6 2 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0","9 3 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn512_g1_s2x2_d1x1_b1_in32x32_p0x0_num1_M256_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU48_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M192_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0","7 4 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU48_k3x3_cn128_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0","8 3 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0","8 3 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0","7 3 8 2 1 1 8 1 0 ",
-"EU48_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0","7 3 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0","5 2 8 2 1 1 8 1 0 ",
-"EU48_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0","3 2 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0","8 3 8 2 1 1 8 1 0 ",
-"EU48_k5x5_cn16_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M48_activ1_eltwise0","4 2 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0","7 3 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M2048_activ1_eltwise1","2 8 32 5 1 8 1 1 0 ",
-"EU48_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0","2 10 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn1024_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M512_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU48_k3x3_cn96_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M208_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M96_activ1_eltwise0","7 3 8 2 1 1 8 1 0 ",
-"EU48_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0","2 3 16 2 1 1 16 1 0 ",
-"EU48_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0","3 5 16 2 1 1 16 1 0 ",
-"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0","7 2 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU48_k1x1_cn1024_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M2048_activ0_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0","7 3 8 2 1 1 8 1 0 ",
-"EU48_k7x7_cn3_g1_s2x2_d1x1_b1_in224x224_p3x3_num1_M64_activ1_eltwise0","4 3 16 2 1 1 16 1 0 ",
-"EU48_k11x11_cn3_g1_s4x4_d1x1_b1_in240x240_p0x0_num1_M96_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU48_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M192_activ1_eltwise0","7 3 16 2 1 1 16 1 0 ",
-"EU48_k5x5_cn96_g2_s1x1_d1x1_b1_in32x32_p2x2_num1_M128_activ1_eltwise0","3 7 8 2 1 1 8 1 0 ",
-"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0","7 4 8 2 1 1 8 1 0 ",
+"EU48_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M1024_activ1_eltwise0_FP32", "2 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M1024_activ5_eltwise0_FP32", "2 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M126_activ0_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ0_eltwise0_FP32", "5 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ5_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M546_activ0_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn128_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M126_activ0_eltwise0_FP32", "1 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn128_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ0_eltwise0_FP32", "1 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn128_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M546_activ0_eltwise0_FP32", "1 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn128_g1_s1x1_d1x1_b1_in48x48_p0x0_num1_M256_activ1_eltwise0_FP32", "2 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn128_g1_s1x1_d1x1_b1_in48x48_p0x0_num1_M256_activ5_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn128_g1_s1x1_d1x1_b1_in80x80_p0x0_num1_M128_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn128_g1_s1x1_d1x1_b1_in80x80_p0x0_num1_M128_activ5_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M16_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M96_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M126_activ0_eltwise0_FP32", "3 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP32", "3 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ5_eltwise0_FP32", "3 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ0_eltwise0_FP32", "1 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M546_activ0_eltwise0_FP32", "3 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP32", "2 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ5_eltwise0_FP32", "1 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M512_activ1_eltwise0_FP32", "2 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M512_activ5_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in48x48_p0x0_num1_M256_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in48x48_p0x0_num1_M256_activ5_eltwise0_FP32", "2 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn32_g1_s1x1_d1x1_b1_in160x160_p0x0_num1_M64_activ1_eltwise0_FP32", "1 16 32 5 1 16 1 1 0",
+"EU48_k1x1_cn32_g1_s1x1_d1x1_b1_in160x160_p0x0_num1_M64_activ5_eltwise0_FP32", "1 16 32 5 1 16 1 1 0",
+"EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M16_activ1_eltwise0_FP32", "8 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M96_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M1024_activ1_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M1024_activ5_eltwise0_FP32", "2 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M112_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M126_activ0_eltwise0_FP32", "5 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ5_eltwise0_FP32", "5 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M144_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ0_eltwise0_FP32", "4 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ1_eltwise0_FP32", "8 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP32", "8 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M546_activ0_eltwise0_FP32", "5 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M12_activ0_eltwise0_FP32", "9 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M273_activ0_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M512_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M512_activ5_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M63_activ0_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn64_g1_s1x1_d1x1_b1_in80x80_p0x0_num1_M128_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn64_g1_s1x1_d1x1_b1_in80x80_p0x0_num1_M128_activ5_eltwise0_FP32", "2 8 32 5 1 8 1 1 0",
+"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP32", "7 2 8 2 1 1 8 1 0",
+"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP32", "4 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M384_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M48_activ1_eltwise0_FP32", "4 1 8 2 1 1 8 1 0",
+"EU48_k3x3_cn1024_g1024_s1x1_d1x1_b1_in16x16_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn1024_g1024_s1x1_d1x1_b1_in16x16_p1x1_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn112_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M224_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn128_g128_s1x1_d1x1_b1_in80x80_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn128_g128_s1x1_d1x1_b1_in80x80_p1x1_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn128_g128_s2x2_d1x1_b1_in80x80_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn128_g128_s2x2_d1x1_b1_in80x80_p1x1_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn128_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M192_activ1_eltwise0_FP32", "14 2 16 2 1 1 16 1 0",
+"EU48_k3x3_cn128_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M256_activ5_eltwise0_FP32", "2 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn128_g1_s2x2_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0_FP32", "3 1 8 2 1 1 8 1 0",
+"EU48_k3x3_cn144_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M288_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn160_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M320_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn192_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn256_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M512_activ5_eltwise0_FP32", "5 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn256_g1_s2x2_d1x1_b1_in16x16_p1x1_num1_M512_activ1_eltwise0_FP32", "5 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn256_g256_s1x1_d1x1_b1_in48x48_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn256_g256_s1x1_d1x1_b1_in48x48_p1x1_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn256_g256_s2x2_d1x1_b1_in48x48_p0x0_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn256_g256_s2x2_d1x1_b1_in48x48_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn32_g32_s1x1_d1x1_b1_in160x160_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn32_g32_s1x1_d1x1_b1_in160x160_p1x1_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn3_g1_s2x2_d1x1_b1_in256x256_p0x0_num1_M32_activ5_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k3x3_cn3_g1_s2x2_d1x1_b1_in256x256_p1x1_num1_M32_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k3x3_cn512_g512_s1x1_d1x1_b1_in32x32_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn512_g512_s1x1_d1x1_b1_in32x32_p1x1_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn512_g512_s2x2_d1x1_b1_in32x32_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn512_g512_s2x2_d1x1_b1_in32x32_p1x1_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M192_activ1_eltwise0_FP32", "14 2 16 2 1 1 16 1 0",
+"EU48_k3x3_cn64_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M128_activ5_eltwise0_FP32", "1 1 8 2 1 1 8 1 0",
+"EU48_k3x3_cn64_g1_s2x2_d1x1_b1_in16x16_p1x1_num1_M128_activ1_eltwise0_FP32", "1 1 8 2 1 1 8 1 0",
+"EU48_k3x3_cn64_g64_s2x2_d1x1_b1_in160x160_p0x0_num1_M1_activ5_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn64_g64_s2x2_d1x1_b1_in160x160_p1x1_num1_M1_activ1_eltwise0_FP32", "1 1 1 6 1 1 1 0 0",
+"EU48_k3x3_cn96_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M208_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn96_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0_FP32", "14 2 16 2 1 1 16 1 0",
+"EU48_k5x5_cn16_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M48_activ1_eltwise0_FP32", "4 2 8 2 1 1 8 1 0",
+"EU48_k5x5_cn16_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M32_activ1_eltwise0_FP32", "4 3 8 2 1 1 8 1 0",
+"EU48_k5x5_cn24_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0_FP32", "4 1 16 2 1 1 16 1 0",
+"EU48_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU48_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0_FP32", "4 2 8 2 1 1 8 1 0",
+"EU48_k5x5_cn32_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M96_activ1_eltwise0_FP32", "4 7 8 2 1 1 8 1 0",
+"EU48_k5x5_cn48_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0_FP32", "4 1 16 2 1 1 16 1 0",
+"EU48_k7x7_cn3_g1_s2x2_d1x1_b1_in224x224_p3x3_num1_M64_activ1_eltwise0_FP32", "5 4 16 2 1 1 16 1 0",
+"EU48_k11x11_cn3_g1_s4x4_d1x1_b1_in240x240_p0x0_num1_M96_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU48_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0_FP32", "13 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M128_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M192_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU48_k5x5_cn96_g2_s1x1_d1x1_b1_in32x32_p2x2_num1_M128_activ1_eltwise0_FP32", "3 9 8 2 1 1 8 1 0",
 // Below is the information for OpenCL based on which these configurations tuned
 /*******************************************************************************
 Number of platforms                               1
-  Platform Name                                   Intel(R) OpenCL
+  Platform Name                                   Intel(R) OpenCL HD Graphics
   Platform Vendor                                 Intel(R) Corporation
-  Platform Version                                OpenCL 2.0
+  Platform Version                                OpenCL 2.1
   Platform Profile                                FULL_PROFILE
-  Platform Extensions                             cl_intel_accelerator cl_intel_advanced_motion_estimation cl_intel_device_side_avc_motion_estimation cl_intel_driver_diagnostics cl_intel_media_block_io cl_intel_motion_estimation cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_required_subgroup_size cl_intel_subgroups cl_intel_subgroups_short cl_intel_va_api_media_sharing cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_fp16 cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_khr_spir cl_khr_subgroups
+  Platform Extensions                             cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_depth_images cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_intel_subgroups cl_intel_required_subgroup_size cl_intel_subgroups_short cl_khr_spir cl_intel_accelerator cl_intel_media_block_io cl_intel_driver_diagnostics cl_intel_device_side_avc_motion_estimation cl_khr_priority_hints cl_khr_throttle_hints cl_khr_create_command_queue cl_khr_fp64 cl_khr_subgroups cl_khr_il_program cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_motion_estimation cl_intel_advanced_motion_estimation cl_intel_va_api_media_sharing
+  Platform Host timer resolution                  1ns
   Platform Extensions function suffix             INTEL
 
-  Platform Name                                   Intel(R) OpenCL
+  Platform Name                                   Intel(R) OpenCL HD Graphics
 Number of devices                                 1
-  Device Name                                     Intel(R) HD Graphics
+  Device Name                                     Intel(R) Gen9 HD Graphics NEO
   Device Vendor                                   Intel(R) Corporation
   Device Vendor ID                                0x8086
-  Device Version                                  OpenCL 2.0
-  Driver Version                                  16.5.59288
+  Device Version                                  OpenCL 2.1 NEO
+  Driver Version                                  18.23.10915
   Device OpenCL C Version                         OpenCL C 2.0
   Device Type                                     GPU
   Device Profile                                  FULL_PROFILE
   Max compute units                               24
-  Max clock frequency                             1050MHz
+  Max clock frequency                             1150MHz
   Device Partition                                (core)
     Max number of sub-devices                     0
-    Supported partition types                     by <unknown> (0x7FC300000000)
+    Supported partition types                     None
   Max work item dimensions                        3
   Max work item sizes                             256x256x256
   Max work group size                             256
   Preferred work group size multiple              32
+  Max sub-groups per work group                   32
   Preferred / native vector sizes
     char                                                16 / 16
     short                                                8 / 8
@@ -486,9 +597,9 @@ Number of devices                                 1
     Support is emulated in software               No
     Correctly-rounded divide and sqrt operations  No
   Address bits                                    64, Little-Endian
-  Global memory size                              6588809216 (6.136GiB)
+  Global memory size                              6575288320 (6.124GiB)
   Error Correction support                        No
-  Max memory allocation                           3294404608 (3.068GiB)
+  Max memory allocation                           3287644160 (3.062GiB)
   Unified memory for Host and Device              Yes
   Shared Virtual Memory (SVM) capabilities        (core)
     Coarse-grained buffer sharing                 Yes
@@ -502,13 +613,241 @@ Number of devices                                 1
     Global                                        64 bytes
     Local                                         64 bytes
   Max size for global variable                    65536 (64KiB)
-  Preferred total size of global vars             3294404608 (3.068GiB)
+  Preferred total size of global vars             3287644160 (3.062GiB)
   Global Memory cache type                        Read/Write
   Global Memory cache size                        524288
   Global Memory cache line                        64 bytes
   Image support                                   Yes
     Max number of samplers per kernel             16
-    Max size for 1D images from buffer            205900288 pixels
+    Max size for 1D images from buffer            205477760 pixels
+    Max 1D or 2D image array size                 2048 images
+    Base address alignment for 2D image buffers   4 bytes
+    Pitch alignment for 2D image buffers          4 bytes
+    Max 2D image size                             16384x16384 pixels
+    Max 3D image size                             16384x16384x2048 pixels
+    Max number of read image args                 128
+    Max number of write image args                128
+    Max number of read/write image args           128
+  Max number of pipe args                         16
+  Max active pipe reservations                    1
+  Max pipe packet size                            1024
+  Local memory type                               Local
+  Local memory size                               65536 (64KiB)
+  Max constant buffer size                        3287644160 (3.062GiB)
+  Max number of constant args                     8
+  Max size of kernel argument                     1024
+  Queue properties (on host)
+    Out-of-order execution                        Yes
+    Profiling                                     Yes
+  Queue properties (on device)
+    Out-of-order execution                        Yes
+    Profiling                                     Yes
+    Preferred size                                131072 (128KiB)
+    Max size                                      67108864 (64MiB)
+  Max queues on device                            1
+  Max events on device                            1024
+  Prefer user sync for interop                    Yes
+  Profiling timer resolution                      83ns
+  Execution capabilities
+    Run OpenCL kernels                            Yes
+    Run native kernels                            No
+    Sub-group independent forward progress        Yes
+    IL version                                    SPIR-V_1.0
+    SPIR versions                                 1.2
+  printf() buffer size                            4194304 (4MiB)
+  Built-in kernels                                block_motion_estimate_intel;block_advanced_motion_estimate_check_intel;block_advanced_motion_estimate_bidirectional_check_intel;
+  Motion Estimation accelerator version	(Intel)   2
+  Device Available                                Yes
+  Compiler Available                              Yes
+  Linker Available                                Yes
+  Device Extensions                               cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_depth_images cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_intel_subgroups cl_intel_required_subgroup_size cl_intel_subgroups_short cl_khr_spir cl_intel_accelerator cl_intel_media_block_io cl_intel_driver_diagnostics cl_intel_device_side_avc_motion_estimation cl_khr_priority_hints cl_khr_throttle_hints cl_khr_create_command_queue cl_khr_fp64 cl_khr_subgroups cl_khr_il_program cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_motion_estimation cl_intel_advanced_motion_estimation cl_intel_va_api_media_sharing
+
+NULL platform behavior
+  clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...)  Intel(R) OpenCL HD Graphics
+  clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...)   Success [INTEL]
+  clCreateContext(NULL, ...) [default]            Success [INTEL]
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU)  No devices found in platform
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU)  Success (1)
+    Platform Name                                 Intel(R) OpenCL HD Graphics
+    Device Name                                   Intel(R) Gen9 HD Graphics NEO
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR)  No devices found in platform
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM)  No devices found in platform
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL)  Success (1)
+    Platform Name                                 Intel(R) OpenCL HD Graphics
+    Device Name                                   Intel(R) Gen9 HD Graphics NEO
+
+ICD loader properties
+  ICD loader Name                                 OpenCL ICD Loader
+  ICD loader Vendor                               OCL Icd free software
+  ICD loader Version                              2.2.8
+  ICD loader Profile                              OpenCL 1.2
+        NOTE:	your OpenCL library declares to support OpenCL 1.2,
+                but it seems to support up to OpenCL 2.1 too.
+********************************************************************************/
+"EU24_k11x11_cn3_g1_s4x4_d1x1_b1_in240x240_p0x0_num1_M96_activ1_eltwise0_FP32", "2 5 16 2 1 1 16 1 0",
+"EU24_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn1024_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M2048_activ0_eltwise0_FP32", "7 4 16 2 1 1 16 1 0",
+"EU24_k1x1_cn1024_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M512_activ1_eltwise0_FP32", "7 2 16 2 1 1 16 1 0",
+"EU24_k1x1_cn128_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M512_activ1_eltwise1_FP32", "2 8 32 5 1 8 1 1 0",
+"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M16_activ1_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0_FP32", "10 2 16 2 1 1 16 1 0",
+"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M96_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn2048_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M512_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M1024_activ1_eltwise1_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0_FP32", "14 2 16 2 1 1 16 1 0",
+"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0_FP32", "10 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn256_g1_s2x2_d1x1_b1_in64x64_p0x0_num1_M128_activ1_eltwise0_FP32", "1 8 32 5 1 8 1 1 0",
+"EU24_k1x1_cn256_g1_s2x2_d1x1_b1_in64x64_p0x0_num1_M512_activ0_eltwise0_FP32", "2 8 32 5 1 8 1 1 0",
+"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M16_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP32", "8 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M96_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M112_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP32", "8 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M144_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M2048_activ1_eltwise1_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s2x2_d1x1_b1_in32x32_p0x0_num1_M1024_activ0_eltwise0_FP32", "2 8 32 5 1 8 1 1 0",
+"EU24_k1x1_cn512_g1_s2x2_d1x1_b1_in32x32_p0x0_num1_M256_activ1_eltwise0_FP32", "7 3 16 2 1 1 16 1 0",
+"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M256_activ0_eltwise0_FP32", "2 8 32 5 1 8 1 1 0",
+"EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M256_activ1_eltwise1_FP32", "1 16 32 5 1 16 1 1 0",
+"EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0_FP32", "2 8 32 5 1 8 1 1 0",
+"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0_FP32", "7 2 16 2 1 1 16 1 0",
+"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP32", "7 1 8 2 1 1 8 1 0",
+"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M384_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M48_activ1_eltwise0_FP32", "4 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn112_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M224_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn128_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M192_activ1_eltwise0_FP32", "14 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn144_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M288_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn160_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M320_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn192_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0_FP32", "13 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M128_activ1_eltwise0_FP32", "13 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M192_activ1_eltwise0_FP32", "13 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn512_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M512_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M192_activ1_eltwise0_FP32", "14 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M64_activ1_eltwise0_FP32", "14 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn96_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M208_activ1_eltwise0_FP32", "14 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn96_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0_FP32", "14 1 16 2 1 1 16 1 0",
+"EU24_k5x5_cn16_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M48_activ1_eltwise0_FP32", "5 1 16 2 1 1 16 1 0",
+"EU24_k5x5_cn16_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M32_activ1_eltwise0_FP32", "4 3 8 2 1 1 8 1 0",
+"EU24_k5x5_cn24_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0_FP32", "5 1 16 2 1 1 16 1 0",
+"EU24_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0_FP32", "4 1 16 2 1 1 16 1 0",
+"EU24_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0_FP32", "7 1 16 2 1 1 16 1 0",
+"EU24_k5x5_cn32_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M96_activ1_eltwise0_FP32", "7 2 16 2 1 1 16 1 0",
+"EU24_k5x5_cn48_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0_FP32", "3 7 8 2 1 1 8 1 0",
+"EU24_k5x5_cn96_g2_s1x1_d1x1_b1_in32x32_p2x2_num1_M128_activ1_eltwise0_FP32", "9 3 16 2 1 1 16 1 0",
+"EU24_k7x7_cn3_g1_s2x2_d1x1_b1_in224x224_p3x3_num1_M64_activ1_eltwise0_FP32", "4 4 16 2 1 1 16 1 0",
+};
+
+const char *default_kernel_config_intel_fp16[] = {
+// Below is the information for OpenCL based on which these configurations tuned
+/*******************************************************************************
+Number of platforms                               1
+  Platform Name                                   Intel(R) OpenCL HD Graphics
+  Platform Vendor                                 Intel(R) Corporation
+  Platform Version                                OpenCL 2.1
+  Platform Profile                                FULL_PROFILE
+  Platform Extensions                             cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_depth_images cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_intel_subgroups cl_intel_required_subgroup_size cl_intel_subgroups_short cl_khr_spir cl_intel_accelerator cl_intel_media_block_io cl_intel_driver_diagnostics cl_intel_device_side_avc_motion_estimation cl_khr_priority_hints cl_khr_throttle_hints cl_khr_create_command_queue cl_khr_subgroups cl_khr_il_program cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_khr_fp64 cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_motion_estimation cl_intel_advanced_motion_estimation
+  Platform Host timer resolution                  1ns
+  Platform Extensions function suffix             INTEL
+
+  Platform Name                                   Intel(R) OpenCL HD Graphics
+Number of devices                                 1
+  Device Name                                     Intel(R) Gen9 HD Graphics NEO
+  Device Vendor                                   Intel(R) Corporation
+  Device Vendor ID                                0x8086
+  Device Version                                  OpenCL 2.1 NEO
+  Driver Version                                  18.21.10858
+  Device OpenCL C Version                         OpenCL C 2.0
+  Device Type                                     GPU
+  Device Profile                                  FULL_PROFILE
+  Max compute units                               48
+  Max clock frequency                             950MHz
+  Device Partition                                (core)
+    Max number of sub-devices                     0
+    Supported partition types                     None
+  Max work item dimensions                        3
+  Max work item sizes                             256x256x256
+  Max work group size                             256
+  Preferred work group size multiple              32
+  Max sub-groups per work group                   32
+  Preferred / native vector sizes
+    char                                                16 / 16
+    short                                                8 / 8
+    int                                                  4 / 4
+    long                                                 1 / 1
+    half                                                 8 / 8        (cl_khr_fp16)
+    float                                                1 / 1
+    double                                               1 / 1        (cl_khr_fp64)
+  Half-precision Floating-point support           (cl_khr_fp16)
+    Denormals                                     Yes
+    Infinity and NANs                             Yes
+    Round to nearest                              Yes
+    Round to zero                                 Yes
+    Round to infinity                             Yes
+    IEEE754-2008 fused multiply-add               Yes
+    Support is emulated in software               No
+    Correctly-rounded divide and sqrt operations  No
+  Single-precision Floating-point support         (core)
+    Denormals                                     Yes
+    Infinity and NANs                             Yes
+    Round to nearest                              Yes
+    Round to zero                                 Yes
+    Round to infinity                             Yes
+    IEEE754-2008 fused multiply-add               Yes
+    Support is emulated in software               No
+    Correctly-rounded divide and sqrt operations  Yes
+  Double-precision Floating-point support         (cl_khr_fp64)
+    Denormals                                     Yes
+    Infinity and NANs                             Yes
+    Round to nearest                              Yes
+    Round to zero                                 Yes
+    Round to infinity                             Yes
+    IEEE754-2008 fused multiply-add               Yes
+    Support is emulated in software               No
+    Correctly-rounded divide and sqrt operations  No
+  Address bits                                    64, Little-Endian
+  Global memory size                              13364170752 (12.45GiB)
+  Error Correction support                        No
+  Max memory allocation                           4294959104 (4GiB)
+  Unified memory for Host and Device              Yes
+  Shared Virtual Memory (SVM) capabilities        (core)
+    Coarse-grained buffer sharing                 Yes
+    Fine-grained buffer sharing                   No
+    Fine-grained system sharing                   No
+    Atomics                                       No
+  Minimum alignment for any data type             128 bytes
+  Alignment of base address                       1024 bits (128 bytes)
+  Preferred alignment for atomics
+    SVM                                           64 bytes
+    Global                                        64 bytes
+    Local                                         64 bytes
+  Max size for global variable                    65536 (64KiB)
+  Preferred total size of global vars             4294959104 (4GiB)
+  Global Memory cache type                        Read/Write
+  Global Memory cache size                        1048576
+  Global Memory cache line                        64 bytes
+  Image support                                   Yes
+    Max number of samplers per kernel             16
+    Max size for 1D images from buffer            268434944 pixels
     Max 1D or 2D image array size                 2048 images
     Base address alignment for 2D image buffers   4 bytes
     Pitch alignment for 2D image buffers          4 bytes
@@ -522,7 +861,7 @@ Number of devices                                 1
   Max pipe packet size                            1024
   Local memory type                               Local
   Local memory size                               65536 (64KiB)
-  Max constant buffer size                        3294404608 (3.068GiB)
+  Max constant buffer size                        4294959104 (4GiB)
   Max number of constant args                     8
   Max size of kernel argument                     1024
   Queue properties (on host)
@@ -540,14 +879,16 @@ Number of devices                                 1
   Execution capabilities
     Run OpenCL kernels                            Yes
     Run native kernels                            No
+    Sub-group independent forward progress        Yes
+    IL version                                    SPIR-V_1.0
     SPIR versions                                 1.2
   printf() buffer size                            4194304 (4MiB)
-  Built-in kernels                                block_motion_estimate_intel;block_advanced_motion_estimate_check_intel;block_advanced_motion_estimate_bidirectional_check_intel
+  Built-in kernels                                block_motion_estimate_intel;block_advanced_motion_estimate_check_intel;block_advanced_motion_estimate_bidirectional_check_intel;
   Motion Estimation accelerator version	(Intel)   2
   Device Available                                Yes
   Compiler Available                              Yes
   Linker Available                                Yes
-  Device Extensions                               cl_intel_accelerator cl_intel_advanced_motion_estimation cl_intel_device_side_avc_motion_estimation cl_intel_driver_diagnostics cl_intel_media_block_io cl_intel_motion_estimation cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_required_subgroup_size cl_intel_subgroups cl_intel_subgroups_short cl_intel_va_api_media_sharing cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_fp16 cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_khr_spir cl_khr_subgroups
+  Device Extensions                               cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_depth_images cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_intel_subgroups cl_intel_required_subgroup_size cl_intel_subgroups_short cl_khr_spir cl_intel_accelerator cl_intel_media_block_io cl_intel_driver_diagnostics cl_intel_device_side_avc_motion_estimation cl_khr_priority_hints cl_khr_throttle_hints cl_khr_create_command_queue cl_khr_subgroups cl_khr_il_program cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_khr_fp64 cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_motion_estimation cl_intel_advanced_motion_estimation
 
 NULL platform behavior
   clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...)  No platform
@@ -560,153 +901,282 @@ NULL platform behavior
   clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM)  No platform
   clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL)  No platform
 ********************************************************************************/
-"EU24_k3x3_cn192_g1_s1x1_d1x1_b1_in16x16_p1x1_num2_M384_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn512_g1_s2x2_d1x1_b1_in32x32_p0x0_num1_M256_activ1_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ1_eltwise0","8 3 8 2 1 1 8 1 0 ",
-"EU24_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num2_M128_activ1_eltwise0","4 4 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M112_activ1_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M144_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M192_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x5_cn32_g1_s1x1_d1x1_b1_in64x64_p0x2_num1_M32_activ2_eltwise0","8 3 16 2 1 1 16 1 0 ",
-"EU24_k2x2_cn16_g1_s2x2_d1x1_b1_in256x256_p0x0_num1_M16_activ2_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M64_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k5x5_cn24_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0","4 4 16 2 1 1 16 1 0 ",
-"EU24_k7x7_cn3_g1_s2x2_d1x1_b1_in224x224_p3x3_num2_M64_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn128_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M16_activ2_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn3_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M5_activ0_eltwise0","2 4 8 2 1 1 8 1 0 ",
-"EU24_k5x5_cn32_g1_s1x1_d1x1_b1_in32x32_p2x2_num2_M96_activ1_eltwise0","4 4 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M192_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k3x3_cn32_g1_s1x1_d2x2_b1_in64x64_p2x2_num1_M32_activ2_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn112_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M224_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k3x3_cn32_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M32_activ2_eltwise0","10 2 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M16_activ1_eltwise0","12 2 8 2 1 1 8 1 0 ",
-"EU24_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M128_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k5x5_cn32_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M96_activ1_eltwise0","4 4 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M192_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M256_activ0_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn4_g1_s1x1_d1x1_b1_in256x256_p1x1_num1_M4_activ2_eltwise0","2 8 16 2 1 1 16 1 0 ",
-"EU24_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0","4 2 16 2 1 1 16 1 0 ",
-"EU24_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k2x2_cn64_g1_s2x2_d1x1_b1_in128x128_p0x0_num1_M32_activ2_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn96_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M208_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M1024_activ1_eltwise1","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M256_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn2048_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M512_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M48_activ1_eltwise0","4 6 8 2 1 1 8 1 0 ",
-"EU24_k3x3_cn128_g1_s1x1_d1x1_b1_in16x16_p1x1_num2_M256_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k3x3_cn32_g1_s1x1_d16x16_b1_in64x64_p16x16_num1_M32_activ2_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M384_activ1_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn4_g1_s1x1_d1x1_b1_in256x256_p0x0_num1_M16_activ0_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0","8 2 8 2 1 1 8 1 0 ",
-"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num2_M16_activ1_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in128x128_p0x0_num1_M16_activ0_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M96_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num2_M128_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M32_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M160_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn128_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k5x5_cn16_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M32_activ1_eltwise0","4 4 16 2 1 1 16 1 0 ",
-"EU24_k5x4_cn6_g3_s3x2_d1x1_b1_in128x80_p1x0_num2_M4_activ0_eltwise0","1 1 1 4 1 1 1 0 1 ",
-"EU24_k5x5_cn24_g1_s1x1_d1x1_b1_in16x16_p2x2_num2_M64_activ1_eltwise0","4 4 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M160_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn16_g1_s1x1_d1x1_b1_in128x128_p1x1_num1_M16_activ2_eltwise0","2 4 16 2 1 1 16 1 0 ",
-"EU24_k3x3_cn144_g1_s1x1_d1x1_b1_in16x16_p1x1_num2_M288_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k3x3_cn96_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0","2 6 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ0_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in128x128_p0x0_num1_M4_activ2_eltwise0","8 3 8 2 1 1 8 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn192_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num2_M64_activ1_eltwise0","4 2 16 2 1 1 16 1 0 ",
-"EU24_k7x7_cn3_g1_s2x2_d1x1_b1_in224x224_p3x3_num1_M64_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn256_g1_s2x2_d1x1_b1_in64x64_p0x0_num1_M128_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn3_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M4_activ0_eltwise0","4 4 8 2 1 1 8 1 0 ",
-"EU24_k11x7_cn3_g1_s3x4_d1x1_b1_in64x64_p3x2_num1_M64_activ0_eltwise0","4 1 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M160_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in128x128_p0x0_num1_M16_activ2_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn160_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M320_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k5x5_cn96_g2_s1x1_d1x1_b1_in32x32_p2x2_num1_M128_activ1_eltwise0","4 3 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M16_activ1_eltwise0","12 2 8 2 1 1 8 1 0 ",
-"EU24_k7x7_cn3_g1_s2x2_d1x1_b1_in224x224_p3x3_num1_M64_activ0_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M384_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M32_activ1_eltwise0","4 7 8 2 1 1 8 1 0 ",
-"EU24_k1x1_cn1024_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M512_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k5x5_cn16_g1_s1x1_d1x1_b1_in16x16_p2x2_num2_M48_activ1_eltwise0","4 2 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn16_g1_s1x1_d1x1_b1_in128x128_p0x0_num1_M64_activ3_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num2_M192_activ1_eltwise0","14 2 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0","12 2 8 2 1 1 8 1 0 ",
-"EU24_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M192_activ1_eltwise0","14 2 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M16_activ1_eltwise0","8 3 8 2 1 1 8 1 0 ",
-"EU24_k3x3_cn96_g1_s1x1_d1x1_b1_in32x32_p1x1_num2_M128_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M96_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M64_activ1_eltwise0","2 8 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn128_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M512_activ1_eltwise1","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M48_activ1_eltwise0","4 6 8 2 1 1 8 1 0 ",
-"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0","4 6 8 2 1 1 8 1 0 ",
-"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M32_activ1_eltwise0","4 6 8 2 1 1 8 1 0 ",
-"EU24_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num2_M192_activ1_eltwise0","14 2 16 2 1 1 16 1 0 ",
-"EU24_k3x3_cn32_g1_s1x1_d8x8_b1_in64x64_p8x8_num1_M32_activ2_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M24_activ1_eltwise0","12 2 8 2 1 1 8 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0","4 6 8 2 1 1 8 1 0 ",
-"EU24_k1x1_cn512_g1_s2x2_d1x1_b1_in32x32_p0x0_num1_M1024_activ0_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num2_M32_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn16_g1_s1x1_d1x1_b1_in256x256_p0x0_num1_M4_activ2_eltwise0","12 2 8 2 1 1 8 1 0 ",
-"EU24_k1x1_cn128_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M32_activ2_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn32_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M128_activ3_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn16_g1_s1x1_d1x1_b1_in128x128_p0x0_num1_M64_activ0_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num2_M96_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M64_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn512_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M512_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num2_M64_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M144_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn96_g1_s1x1_d1x1_b1_in16x16_p1x1_num2_M208_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M96_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k11x11_cn3_g1_s4x4_d1x1_b1_in224x224_p0x0_num1_M96_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0","4 3 16 2 1 1 16 1 0 ",
-"EU24_k5x1_cn32_g1_s1x1_d1x1_b0_in64x64_p2x0_num1_M32_activ0_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k4x4_cn3_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M2_activ0_eltwise0","1 3 8 2 1 1 8 1 0 ",
-"EU24_k3x3_cn112_g1_s1x1_d1x1_b1_in16x16_p1x1_num2_M224_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn1024_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M2048_activ0_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn3_g1_s2x2_d1x1_b1_in256x256_p1x1_num1_M13_activ0_eltwise0","1 1 1 4 1 1 1 0 1 ",
-"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M128_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num2_M64_activ1_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0","12 2 8 2 1 1 8 1 0 ",
-"EU24_k1x1_cn128_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ0_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M128_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M128_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M112_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k5x5_cn48_g1_s1x1_d1x1_b1_in16x16_p2x2_num2_M128_activ1_eltwise0","4 2 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num2_M256_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M256_activ1_eltwise1","1 16 32 5 1 16 1 1 0 ",
-"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn144_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M288_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k5x5_cn16_g1_s1x1_d1x1_b1_in32x32_p2x2_num2_M32_activ1_eltwise0","4 2 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num2_M64_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k5x5_cn48_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0","4 3 8 2 1 1 8 1 0 ",
-"EU24_k1x1_cn256_g1_s2x2_d1x1_b1_in64x64_p0x0_num1_M512_activ0_eltwise0","2 8 32 5 1 8 1 1 0 ",
-"EU24_k5x5_cn16_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M48_activ1_eltwise0","4 4 16 2 1 1 16 1 0 ",
-"EU24_k3x3_cn160_g1_s1x1_d1x1_b1_in16x16_p1x1_num2_M320_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
-"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num2_M32_activ1_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k3x3_cn32_g1_s1x1_d4x4_b1_in64x64_p4x4_num1_M32_activ2_eltwise0","1 8 32 5 1 8 1 1 0 ",
-"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M2048_activ1_eltwise1","4 7 16 2 1 1 16 1 0 ",
-"EU24_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M192_activ1_eltwise0","2 7 16 2 1 1 16 1 0 ",
+"EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M16_activ1_eltwise0_FP16", "11 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M96_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M16_activ1_eltwise0_FP16", "8 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M96_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M112_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M144_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ1_eltwise0_FP16", "7 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP16", "8 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP16", "6 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0_FP16", "1 16 32 5 1 16 1 1 0",
+"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP16", "4 1 8 2 1 1 8 1 0",
+"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M384_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M48_activ1_eltwise0_FP16", "7 1 8 2 1 1 8 1 0",
+"EU48_k3x3_cn112_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M224_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn128_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M192_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU48_k3x3_cn144_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M288_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn160_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M320_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn192_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M192_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU48_k3x3_cn96_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M208_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn96_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU48_k5x5_cn16_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M48_activ1_eltwise0_FP16", "5 1 16 2 1 1 16 1 0",
+"EU48_k5x5_cn16_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M32_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU48_k5x5_cn24_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0_FP16", "5 1 16 2 1 1 16 1 0",
+"EU48_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0_FP16", "8 1 16 2 1 1 16 1 0",
+"EU48_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU48_k5x5_cn32_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M96_activ1_eltwise0_FP16", "10 2 16 2 1 1 16 1 0",
+"EU48_k5x5_cn48_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0_FP16", "5 1 16 2 1 1 16 1 0",
+"EU48_k7x7_cn3_g1_s2x2_d1x1_b1_in224x224_p3x3_num1_M64_activ1_eltwise0_FP16", "5 6 16 2 1 1 16 1 0",
+"EU48_k11x11_cn3_g1_s4x4_d1x1_b1_in240x240_p0x0_num1_M96_activ1_eltwise0_FP16", "2 8 16 2 1 1 16 1 0",
+"EU48_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0_FP16", "13 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M128_activ1_eltwise0_FP16", "13 1 16 2 1 1 16 1 0",
+"EU48_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M192_activ1_eltwise0_FP16", "13 1 16 2 1 1 16 1 0",
+"EU48_k5x5_cn96_g2_s1x1_d1x1_b1_in32x32_p2x2_num1_M128_activ1_eltwise0_FP16", "9 2 16 2 1 1 16 1 0",
+// Below is the information for OpenCL based on which these configurations tuned
+/*******************************************************************************
+Number of platforms                               1
+  Platform Name                                   Intel(R) OpenCL HD Graphics
+  Platform Vendor                                 Intel(R) Corporation
+  Platform Version                                OpenCL 2.1
+  Platform Profile                                FULL_PROFILE
+  Platform Extensions                             cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_depth_images cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_intel_subgroups cl_intel_required_subgroup_size cl_intel_subgroups_short cl_khr_spir cl_intel_accelerator cl_intel_media_block_io cl_intel_driver_diagnostics cl_intel_device_side_avc_motion_estimation cl_khr_priority_hints cl_khr_throttle_hints cl_khr_create_command_queue cl_khr_fp64 cl_khr_subgroups cl_khr_il_program cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_motion_estimation cl_intel_advanced_motion_estimation cl_intel_va_api_media_sharing
+  Platform Host timer resolution                  1ns
+  Platform Extensions function suffix             INTEL
+
+  Platform Name                                   Intel(R) OpenCL HD Graphics
+Number of devices                                 1
+  Device Name                                     Intel(R) Gen9 HD Graphics NEO
+  Device Vendor                                   Intel(R) Corporation
+  Device Vendor ID                                0x8086
+  Device Version                                  OpenCL 2.1 NEO
+  Driver Version                                  18.23.10915
+  Device OpenCL C Version                         OpenCL C 2.0
+  Device Type                                     GPU
+  Device Profile                                  FULL_PROFILE
+  Max compute units                               24
+  Max clock frequency                             1150MHz
+  Device Partition                                (core)
+    Max number of sub-devices                     0
+    Supported partition types                     None
+  Max work item dimensions                        3
+  Max work item sizes                             256x256x256
+  Max work group size                             256
+  Preferred work group size multiple              32
+  Max sub-groups per work group                   32
+  Preferred / native vector sizes
+    char                                                16 / 16
+    short                                                8 / 8
+    int                                                  4 / 4
+    long                                                 1 / 1
+    half                                                 8 / 8        (cl_khr_fp16)
+    float                                                1 / 1
+    double                                               1 / 1        (cl_khr_fp64)
+  Half-precision Floating-point support           (cl_khr_fp16)
+    Denormals                                     Yes
+    Infinity and NANs                             Yes
+    Round to nearest                              Yes
+    Round to zero                                 Yes
+    Round to infinity                             Yes
+    IEEE754-2008 fused multiply-add               Yes
+    Support is emulated in software               No
+    Correctly-rounded divide and sqrt operations  No
+  Single-precision Floating-point support         (core)
+    Denormals                                     Yes
+    Infinity and NANs                             Yes
+    Round to nearest                              Yes
+    Round to zero                                 Yes
+    Round to infinity                             Yes
+    IEEE754-2008 fused multiply-add               Yes
+    Support is emulated in software               No
+    Correctly-rounded divide and sqrt operations  Yes
+  Double-precision Floating-point support         (cl_khr_fp64)
+    Denormals                                     Yes
+    Infinity and NANs                             Yes
+    Round to nearest                              Yes
+    Round to zero                                 Yes
+    Round to infinity                             Yes
+    IEEE754-2008 fused multiply-add               Yes
+    Support is emulated in software               No
+    Correctly-rounded divide and sqrt operations  No
+  Address bits                                    64, Little-Endian
+  Global memory size                              6575288320 (6.124GiB)
+  Error Correction support                        No
+  Max memory allocation                           3287644160 (3.062GiB)
+  Unified memory for Host and Device              Yes
+  Shared Virtual Memory (SVM) capabilities        (core)
+    Coarse-grained buffer sharing                 Yes
+    Fine-grained buffer sharing                   No
+    Fine-grained system sharing                   No
+    Atomics                                       No
+  Minimum alignment for any data type             128 bytes
+  Alignment of base address                       1024 bits (128 bytes)
+  Preferred alignment for atomics
+    SVM                                           64 bytes
+    Global                                        64 bytes
+    Local                                         64 bytes
+  Max size for global variable                    65536 (64KiB)
+  Preferred total size of global vars             3287644160 (3.062GiB)
+  Global Memory cache type                        Read/Write
+  Global Memory cache size                        524288
+  Global Memory cache line                        64 bytes
+  Image support                                   Yes
+    Max number of samplers per kernel             16
+    Max size for 1D images from buffer            205477760 pixels
+    Max 1D or 2D image array size                 2048 images
+    Base address alignment for 2D image buffers   4 bytes
+    Pitch alignment for 2D image buffers          4 bytes
+    Max 2D image size                             16384x16384 pixels
+    Max 3D image size                             16384x16384x2048 pixels
+    Max number of read image args                 128
+    Max number of write image args                128
+    Max number of read/write image args           128
+  Max number of pipe args                         16
+  Max active pipe reservations                    1
+  Max pipe packet size                            1024
+  Local memory type                               Local
+  Local memory size                               65536 (64KiB)
+  Max constant buffer size                        3287644160 (3.062GiB)
+  Max number of constant args                     8
+  Max size of kernel argument                     1024
+  Queue properties (on host)
+    Out-of-order execution                        Yes
+    Profiling                                     Yes
+  Queue properties (on device)
+    Out-of-order execution                        Yes
+    Profiling                                     Yes
+    Preferred size                                131072 (128KiB)
+    Max size                                      67108864 (64MiB)
+  Max queues on device                            1
+  Max events on device                            1024
+  Prefer user sync for interop                    Yes
+  Profiling timer resolution                      83ns
+  Execution capabilities
+    Run OpenCL kernels                            Yes
+    Run native kernels                            No
+    Sub-group independent forward progress        Yes
+    IL version                                    SPIR-V_1.0
+    SPIR versions                                 1.2
+  printf() buffer size                            4194304 (4MiB)
+  Built-in kernels                                block_motion_estimate_intel;block_advanced_motion_estimate_check_intel;block_advanced_motion_estimate_bidirectional_check_intel;
+  Motion Estimation accelerator version	(Intel)   2
+  Device Available                                Yes
+  Compiler Available                              Yes
+  Linker Available                                Yes
+  Device Extensions                               cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_depth_images cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_intel_subgroups cl_intel_required_subgroup_size cl_intel_subgroups_short cl_khr_spir cl_intel_accelerator cl_intel_media_block_io cl_intel_driver_diagnostics cl_intel_device_side_avc_motion_estimation cl_khr_priority_hints cl_khr_throttle_hints cl_khr_create_command_queue cl_khr_fp64 cl_khr_subgroups cl_khr_il_program cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_motion_estimation cl_intel_advanced_motion_estimation cl_intel_va_api_media_sharing
+
+NULL platform behavior
+  clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...)  Intel(R) OpenCL HD Graphics
+  clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...)   Success [INTEL]
+  clCreateContext(NULL, ...) [default]            Success [INTEL]
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU)  No devices found in platform
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU)  Success (1)
+    Platform Name                                 Intel(R) OpenCL HD Graphics
+    Device Name                                   Intel(R) Gen9 HD Graphics NEO
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR)  No devices found in platform
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM)  No devices found in platform
+  clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL)  Success (1)
+    Platform Name                                 Intel(R) OpenCL HD Graphics
+    Device Name                                   Intel(R) Gen9 HD Graphics NEO
+
+ICD loader properties
+  ICD loader Name                                 OpenCL ICD Loader
+  ICD loader Vendor                               OCL Icd free software
+  ICD loader Version                              2.2.8
+  ICD loader Profile                              OpenCL 1.2
+        NOTE:	your OpenCL library declares to support OpenCL 1.2,
+                but it seems to support up to OpenCL 2.1 too.
+********************************************************************************/
+"EU24_k11x11_cn3_g1_s4x4_d1x1_b1_in240x240_p0x0_num1_M96_activ1_eltwise0_FP16", "2 7 16 2 1 1 16 1 0",
+"EU24_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k1x1_cn1024_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M2048_activ0_eltwise0_FP16", "7 4 16 2 1 1 16 1 0",
+"EU24_k1x1_cn1024_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M512_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn128_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M512_activ1_eltwise1_FP16", "1 16 32 5 1 16 1 1 0",
+"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M16_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0_FP16", "10 3 16 2 1 1 16 1 0",
+"EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M96_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k1x1_cn2048_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M512_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M1024_activ1_eltwise1_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0_FP16", "10 2 16 2 1 1 16 1 0",
+"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k1x1_cn256_g1_s2x2_d1x1_b1_in64x64_p0x0_num1_M128_activ1_eltwise0_FP16", "8 4 16 2 1 1 16 1 0",
+"EU24_k1x1_cn256_g1_s2x2_d1x1_b1_in64x64_p0x0_num1_M512_activ0_eltwise0_FP16", "1 16 32 5 1 16 1 1 0",
+"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M16_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M96_activ1_eltwise0_FP16", "7 2 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M112_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M144_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M2048_activ1_eltwise1_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ1_eltwise0_FP16", "10 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP16", "9 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s2x2_d1x1_b1_in32x32_p0x0_num1_M1024_activ0_eltwise0_FP16", "8 3 16 2 1 1 16 1 0",
+"EU24_k1x1_cn512_g1_s2x2_d1x1_b1_in32x32_p0x0_num1_M256_activ1_eltwise0_FP16", "7 3 16 2 1 1 16 1 0",
+"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP16", "8 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M256_activ0_eltwise0_FP16", "1 16 32 5 1 16 1 1 0",
+"EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M256_activ1_eltwise1_FP16", "1 16 32 5 1 16 1 1 0",
+"EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0_FP16", "1 16 32 5 1 16 1 1 0",
+"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP16", "6 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M384_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M48_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn112_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M224_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn128_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0_FP16", "10 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M192_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn144_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M288_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn160_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M320_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn192_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0_FP16", "13 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M128_activ1_eltwise0_FP16", "13 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M192_activ1_eltwise0_FP16", "13 1 16 2 1 1 16 1 0",
+"EU24_k3x3_cn512_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M512_activ1_eltwise0_FP16", "7 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M192_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M64_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn96_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M208_activ1_eltwise0_FP16", "14 2 16 2 1 1 16 1 0",
+"EU24_k3x3_cn96_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0_FP16", "14 1 16 2 1 1 16 1 0",
+"EU24_k5x5_cn16_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M48_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k5x5_cn16_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M32_activ1_eltwise0_FP16", "7 2 16 2 1 1 16 1 0",
+"EU24_k5x5_cn24_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0_FP16", "7 2 16 2 1 1 16 1 0",
+"EU24_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0_FP16", "7 1 16 2 1 1 16 1 0",
+"EU24_k5x5_cn32_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M96_activ1_eltwise0_FP16", "7 2 16 2 1 1 16 1 0",
+"EU24_k5x5_cn48_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0_FP16", "4 1 16 2 1 1 16 1 0",
+"EU24_k5x5_cn96_g2_s1x1_d1x1_b1_in32x32_p2x2_num1_M128_activ1_eltwise0_FP16", "7 3 16 2 1 1 16 1 0",
+"EU24_k7x7_cn3_g1_s2x2_d1x1_b1_in224x224_p3x3_num1_M64_activ1_eltwise0_FP16", "4 7 16 2 1 1 16 1 0",
 };
 #endif
diff --git a/modules/dnn/src/ocl4dnn/src/ocl4dnn_conv_spatial.cpp b/modules/dnn/src/ocl4dnn/src/ocl4dnn_conv_spatial.cpp
index b5699b2535..034f8d3e7d 100644
--- a/modules/dnn/src/ocl4dnn/src/ocl4dnn_conv_spatial.cpp
+++ b/modules/dnn/src/ocl4dnn/src/ocl4dnn_conv_spatial.cpp
@@ -55,6 +55,7 @@
 #include "../include/math_functions.hpp"
 #include "../include/default_kernel_config.hpp"
 #include "opencv2/dnn/shape_utils.hpp"
+#include "opencv2/core/utils/logger.hpp"
 
 #if defined WIN32 || defined _WIN32
 #include <windows.h>
@@ -87,10 +88,13 @@ static void initializeGlobalBuiltinConfigurations(const std::string& cache_path)
 {
     CV_Assert(defaultConfigLoaded == false);
     CV_Assert(kernelConfigMap.empty());
-    const size_t numConfigs = sizeof(default_kernel_config_intel)/sizeof(default_kernel_config_intel[0])/2;
+
+    /* fp32 config */
+    size_t numConfigs = sizeof(default_kernel_config_intel_fp32) /
+                        sizeof(default_kernel_config_intel_fp32[0]) / 2;
     for (size_t i = 0; i < numConfigs; i++)
     {
-        std::string key = std::string("Intel(R) Corporation_") + default_kernel_config_intel[2 * i];
+        std::string key = std::string("Intel(R) Corporation_") + default_kernel_config_intel_fp32[2 * i];
         if (!cache_path.empty())
         {
             std::string cacheFile = cache_path + sanitize(key);
@@ -100,9 +104,29 @@ static void initializeGlobalBuiltinConfigurations(const std::string& cache_path)
         }
         std::pair<std::string, std::string> entry(
                 key,
-                default_kernel_config_intel[2 * i + 1]);
+                default_kernel_config_intel_fp32[2 * i + 1]);
         kernelConfigMap.insert(entry);
     }
+
+    /* fp16 config */
+    numConfigs = sizeof(default_kernel_config_intel_fp16) /
+                 sizeof(default_kernel_config_intel_fp16[0]) / 2;
+    for (size_t i = 0; i < numConfigs; i++)
+    {
+        std::string key = std::string("Intel(R) Corporation_") + default_kernel_config_intel_fp16[2 * i];
+        if (!cache_path.empty())
+        {
+            std::string cacheFile = cache_path + sanitize(key);
+            std::ifstream cachedKernel(cacheFile.c_str());
+            if (cachedKernel)
+                continue;  // external configuration found, skip builtin
+        }
+        std::pair<std::string, std::string> entry(
+                key,
+                default_kernel_config_intel_fp16[2 * i + 1]);
+        kernelConfigMap.insert(entry);
+    }
+
     defaultConfigLoaded = true;
 }
 
@@ -311,40 +335,38 @@ void OCL4DNNConvSpatial<Dtype>::setupKernelDetails(int32_t kernelType,
 
         // options
         options_ << " -cl-fast-relaxed-math -D KERNEL_IDLF -D convolve_simd=" << kernel_name_;
+        options_ << " -cl-mad-enable";
         if (clOptionSupport("-cl-no-subgroup-ifp"))
             options_ << " -cl-no-subgroup-ifp ";
 
         // defs
-        int32_t output_width = output_w_;
-        int32_t output_height = output_h_;
         int32_t output_block_width = blockM;
         int32_t output_block_height = blockK;
-        const int32_t last_block_width = (output_width % output_block_width == 0) ?
-                                        output_block_width : output_width % output_block_width;
-        const int32_t last_block_height = (output_height % output_block_height == 0) ?
-                                         output_block_height : output_height % output_block_height;
-        int tile_x = alignSize((output_block_width - 1) * stride_w_ + kernel_w_ * dilation_w_, 4);
-        int tile_y = (output_block_height -1) * stride_h_ + kernel_h_ * dilation_h_;
-        int tile_y_stride = (4 * simd_size) / tile_x;
-        int invec_size = divUp(tile_y, tile_y_stride);
+        int tile_x = (output_block_width - 1) * stride_w_ + kernel_w_ * dilation_w_;
+        int tile_y = (output_block_height - 1) * stride_h_ + kernel_h_ * dilation_h_;
+        int invec_size = tile_y;
 
         addDef("SIMD_SIZE", simd_size);
-        addDef("filter_qualifier", "__global");
         addDef("OUT_BLOCK_WIDTH", output_block_width);
         addDef("OUT_BLOCK_HEIGHT", output_block_height);
-        addDef("LAST_BLOCK_WIDTH", last_block_width);
-        addDef("LAST_BLOCK_HEIGHT", last_block_height);
         addDef("INPUT_DEPTH", channels_ / group_);
         addDef("TOTAL_INPUT_DEPTH_SIZE", channels_);
         addDef("TOTAL_OUTPUT_DEPTH", num_output_);
         addDef("NUM_FILTERS", M_);
         addDef("TILE_X", tile_x);
         addDef("TILE_Y", tile_y);
-        addDef("TILE_Y_STRIDE", tile_y_stride);
         addDef("INVEC_SIZE", invec_size);
         addDef("ALIGNED_NUM_FILTERS", (int)alignSize(M_, simd_size));
         addDef("OUT_BLOCK_SIZE", (output_block_width*output_block_height));
         addDef("APPLY_BIAS", bias_term_);
+        addDef("WEIGHT_PREF", ((kernel_w_ * kernel_h_) == 1) ? 1 : 8);
+        addDef("INPUT_PITCH", (width_ * height_));
+        addDef("OUTPUT_PITCH", (output_w_ * output_h_));
+        addDef("LEFT_FILTERS", ((int)alignSize(M_, simd_size) - M_));
+        addDef("INPUT_WIDTH", width_);
+        addDef("INPUT_HEIGHT", height_);
+        addDef("FILTERS_IN_GROUP", ((int)alignSize(M_, simd_size) / simd_size));
+
         setFusionDefine(fused_activ_, fused_eltwise_);
 
         src_ = cv::ocl::dnn::conv_layer_spatial_oclsrc;
@@ -567,13 +589,6 @@ void OCL4DNNConvSpatial<Dtype>::calculateBenchmark(const UMat &bottom, UMat &ver
     return;
 }
 
-#define dbg
-#ifdef dbg
-#define dbgPrint(x) (x)
-#else
-#define dbgPrint(x)
-#endif
-
 // For large enough input size, we do not need to tune kernels for different
 // size. The reason is with large input size, there will be enough work items
 // to feed al the EUs.
@@ -584,6 +599,7 @@ void OCL4DNNConvSpatial<Dtype>::calculateBenchmark(const UMat &bottom, UMat &ver
 template<typename Dtype>
 void OCL4DNNConvSpatial<Dtype>::generateKey()
 {
+    std::string precision = (use_half_) ? "FP16" : "FP32";
     std::stringstream keyBuilder;
     // FIXME: to support fuse?
     keyBuilder << "k" << kernel_w_ << "x" << kernel_h_ << "_"
@@ -597,7 +613,8 @@ void OCL4DNNConvSpatial<Dtype>::generateKey()
                << "num" << num_ << "_"
                << "M" << M_ << "_"
                << "activ" << fused_activ_ << "_"
-               << "eltwise" << fused_eltwise_;
+               << "eltwise" << fused_eltwise_ << "_"
+               << precision;
 
 
     key_ = ocl::Device::getDefault().vendorName() + "_EU" + cv::format("%d", ocl::Device::getDefault().maxComputeUnits()) + "_" + keyBuilder.str();
@@ -616,11 +633,6 @@ std::string OCL4DNNConvSpatial<Dtype>::generateSpecificKey(int32_t type, int32_t
                << "_" << blockHeight
                << "_" << blockDepth;
 
-    if (!use_half_)
-        keyBuilder << "_float";
-    else
-        keyBuilder << "_half";
-
     return keyBuilder.str();
 }
 
@@ -1164,7 +1176,7 @@ float OCL4DNNConvSpatial<float>::timedConvolve(const UMat &bottom, UMat &top,
     cv::ocl::Timer timer(queue);
     timer.start();
     bool res = true;;
-    dbgPrint(std::cout << "Benchmarking kernel: " << config->kernelName << std::endl);
+    CV_LOG_INFO(NULL, "Benchmarking kernel: " << config->kernelName);
     tuned_ = true;
     int loop_cnt = 4;
     for (int i = 0; i < loop_cnt; i++) {
@@ -1181,7 +1193,6 @@ float OCL4DNNConvSpatial<float>::timedConvolve(const UMat &bottom, UMat &top,
     }
 
     float elapsedTime = timer.durationNS() * 1e-6 / loop_cnt;
-    #ifdef dbg
     double out_w = output_w_;
     double out_h = output_h_;
     double out_z = M_;
@@ -1189,16 +1200,8 @@ float OCL4DNNConvSpatial<float>::timedConvolve(const UMat &bottom, UMat &top,
     double k_h = kernel_h_;
     double k_z = channels_;
     double totalFlops = ((k_w*k_h*k_z -1)*2)*(out_w*out_h*out_z)*num_;
-    std::cout << "\tEstimated Gflops:" << (totalFlops * 1e-9)
-              << std::endl;
-    std::cout << "\tEstimated GFLOPS/S: " << ((totalFlops * 1e-9)*(1000.0/elapsedTime))
-              << std::endl;
-    #if 0
-    std::cout << "Estimated utilization: " <<
-        ((((totalFlops/1000)/1000)/1000)*(1000.0/elapsedTime))/880.0
-        << std::endl;
-    #endif
-    #endif
+    CV_LOG_INFO(NULL, "\tEstimated Gflops:" << (totalFlops * 1e-9));
+    CV_LOG_INFO(NULL, "\tEstimated GFLOPS/S: " << ((totalFlops * 1e-9)*(1000.0/elapsedTime)));
     return elapsedTime;
 }
 
@@ -1254,18 +1257,18 @@ bool OCL4DNNConvSpatial<float>::verifyResult(const UMat &bottom,
                         if (use_half_ && error_factor > 0.1 * fabs(verify_data[offset]) &&
                             error_factor > 0.04 && !(fabs(verify_data[offset]) < 1.e-3 && error_factor < 1.e-4))
                         {
-                            dbgPrint(printf("test verification failed @ image %d group %d"
-                                            "out_ch %d h %d w %d got %G expected %G\n",
-                                            n, g, out_ch, h, w, data[offset], verify_data[offset]));
+                            CV_LOG_ERROR(NULL, "test verification failed @ image " << n << " group " << g
+                                         << " out_ch " << out_ch << " h " << h << " w " << w
+                                         << " got " << data[offset] << " expected " << verify_data[offset]);
                             verificationFail = 1;
                             goto out;
                         }
                         else if (!use_half_ && error_factor > 0.1 * fabs(verify_data[offset]) &&
                                  !(fabs(verify_data[offset]) < 1.e-3 && error_factor < 1.e-4))
                         {
-                            dbgPrint(printf("test verification failed @ image %d group %d"
-                                            "out_ch %d h %d w %d got %G expected %G\n",
-                                            n, g, out_ch, h, w, data[offset], verify_data[offset]));
+                            CV_LOG_ERROR(NULL, "test verification failed @ image " << n << " group " << g
+                                         << " out_ch " << out_ch << " h " << h << " w " << w
+                                         << " got " << data[offset] << " expected " << verify_data[offset]);
                             verificationFail = 1;
                             goto out;
                         }
@@ -1546,17 +1549,11 @@ void OCL4DNNConvSpatial<float>::generate_idlf_tuneritems(std::vector< cv::Ptr<tu
         return;
 
     int actual_tile_x = kernel_w_ * dilation_w_ + (blockM - 1) * stride_w_ ;
-    int tile_x = alignSize(actual_tile_x, 4);
-    int tile_y = kernel_h_ * dilation_h_ + (blockK - 1) * stride_h_;
-    if (tile_x > (4 * simd_size))
-        return;
-
-    if ((blockM * blockK + divUp(tile_x * tile_y, simd_size)) > block_size_max)
+    int tile_x = alignSize(actual_tile_x, simd_size);
+    if (tile_x > simd_size)
         return;
 
-    int tile_y_stride = (4 * simd_size) / tile_x;
-    int invec_size = divUp(tile_y, tile_y_stride);
-    if (invec_size > 4)
+    if (blockM * blockK > block_size_max)
         return;
 
     tunerItems.push_back(makePtr<tunerParam>(KERNEL_TYPE_INTEL_IDLF, blockM, blockK, simd_size));
@@ -1599,11 +1596,7 @@ void OCL4DNNConvSpatial<float>::generateTunerItems(std::vector< cv::Ptr<tunerPar
                 for (uint32_t height = height_max; height > 0; height--)
                 {
                     generate_idlf_tuneritems(tunerItems, width, height, simd_size);
-                    if (tunerItems.size() >= 8 && height == 2)
-                        break;
                 }
-                if (tunerItems.size() >= 12 && width == 2)
-                    break;
             }
         }
     }
@@ -1690,35 +1683,31 @@ void OCL4DNNConvSpatial<float>::setupConvolution(const UMat &bottom,
         if (kernelQueue[x]->tested == false) {
             bool verified = verifyResult(bottom, top, weight, bias, numImages, kernelQueue[x], verifyTop);
             if (verified == false) {
-                dbgPrint(std::cout << "Kernel "
-                         << kernelQueue[x]->kernelName
-                         << " failed verification" << std::endl);
-                dbgPrint(std::cout << "kernelQueue[x]->workItem_output[0]: "
-                         << kernelQueue[x]->workItem_output[0] << " "
-                         << "kernelQueue[x]->workItem_output[1]: "
-                         << kernelQueue[x]->workItem_output[1] << " "
-                         << "kernelQueue[x]->workItem_output[2]: "
-                         << kernelQueue[x]->workItem_output[2] << " "
-                         << "kernelQueue[x]->kernelType: "
-                         << kernelQueue[x]->kernelType << " "
-                         << "kernelQueue[x]->global_work_size[0]: "
-                         << kernelQueue[x]->global_work_size[0] << " "
-                         << "kernelQueue[x]->global_work_size[1]: "
-                         << kernelQueue[x]->global_work_size[1] << " "
-                         << "kernelQueue[x]->global_work_size[2]: "
-                         << kernelQueue[x]->global_work_size[2] << " "
-                         << "kernelQueue[x]->local_work_size[0]: "
-                         << kernelQueue[x]->local_work_size[0] << " "
-                         << "kernelQueue[x]->local_work_size[1]: "
-                         << kernelQueue[x]->local_work_size[1] << " "
-                         << "kernelQueue[x]->local_work_size[2]: "
-                         << kernelQueue[x]->local_work_size[2] << " "
-                         << kernelQueue[x]->swizzle_weights << " "
-                         << kernelQueue[x]->use_null_local << std::endl);
+                CV_LOG_ERROR(NULL, "Kernel " << kernelQueue[x]->kernelName << " failed verification");
+                CV_LOG_ERROR(NULL, "kernelQueue[x]->workItem_output[0]: "
+                             << kernelQueue[x]->workItem_output[0] << " "
+                             << "kernelQueue[x]->workItem_output[1]: "
+                             << kernelQueue[x]->workItem_output[1] << " "
+                             << "kernelQueue[x]->workItem_output[2]: "
+                             << kernelQueue[x]->workItem_output[2] << " "
+                             << "kernelQueue[x]->kernelType: "
+                             << kernelQueue[x]->kernelType << " "
+                             << "kernelQueue[x]->global_work_size[0]: "
+                             << kernelQueue[x]->global_work_size[0] << " "
+                             << "kernelQueue[x]->global_work_size[1]: "
+                             << kernelQueue[x]->global_work_size[1] << " "
+                             << "kernelQueue[x]->global_work_size[2]: "
+                             << kernelQueue[x]->global_work_size[2] << " "
+                             << "kernelQueue[x]->local_work_size[0]: "
+                             << kernelQueue[x]->local_work_size[0] << " "
+                             << "kernelQueue[x]->local_work_size[1]: "
+                             << kernelQueue[x]->local_work_size[1] << " "
+                             << "kernelQueue[x]->local_work_size[2]: "
+                             << kernelQueue[x]->local_work_size[2] << " "
+                             << kernelQueue[x]->swizzle_weights << " "
+                             << kernelQueue[x]->use_null_local);
             } else {
-                dbgPrint(std::cout << "Kernel "
-                         << kernelQueue[x]->kernelName
-                         << " pass verification" << std::endl);
+                CV_LOG_INFO(NULL, "Kernel " << kernelQueue[x]->kernelName << " pass verification");
             }
         }
         #endif
@@ -1747,19 +1736,28 @@ void OCL4DNNConvSpatial<float>::setupConvolution(const UMat &bottom,
                 break;
             } else {
                 kernelQueue[fastestKernel]->tested = true;
-                dbgPrint(std::cout << "Kernel " <<
-                         kernelQueue[fastestKernel]->kernelName <<
-                         " failed verification" << std::endl);
+                CV_LOG_ERROR(NULL, "Kernel " << kernelQueue[fastestKernel]->kernelName <<
+                             " failed verification");
                 failures++;
             }
         }
     }
     if (verification) {
-        dbgPrint(std::cout << "Kernel <" << kernelQueue[kernel_index_]->kernelName <<
-                 "> passed verification" << std::endl);
-        dbgPrint(std::cout << "Convolution Time:" << kernelQueue[kernel_index_]->executionTime << std::endl);
+        CV_LOG_INFO(NULL, "Kernel <" << kernelQueue[kernel_index_]->kernelName <<
+                    "> passed verification");
+        CV_LOG_INFO(NULL, "Convolution Time:" << kernelQueue[kernel_index_]->executionTime);
+        double out_w = output_w_;
+        double out_h = output_h_;
+        double out_z = M_;
+        double k_w = kernel_w_;
+        double k_h = kernel_h_;
+        double k_z = channels_;
+        float elapsedTime = kernelQueue[kernel_index_]->executionTime;
+        double totalFlops = ((k_w*k_h*k_z -1)*2)*(out_w*out_h*out_z)*num_;
+        CV_LOG_INFO(NULL, "\tEstimated Gflops:" << (totalFlops * 1e-9));
+        CV_LOG_INFO(NULL, "\tEstimated GFLOPS/S: " << ((totalFlops * 1e-9)*(1000.0/elapsedTime)));
     } else {
-        dbgPrint(std::cout << "fallback to basic kernel" << std::endl);
+        CV_LOG_INFO(NULL, "fallback to basic kernel");
         options_.str(""); options_.clear(); // clear contents and state flags
         createBasicKernel(1, 1, 1);
         kernel_index_ = kernelQueue.size() - 1;
@@ -1827,7 +1825,7 @@ void OCL4DNNConvSpatial<Dtype>::prepareKernel(const UMat &bottom, UMat &top,
     if (loadCachedConfig()) // check in-memory cache
         return;
 
-    if (loadTunedConfig()) // check external storage
+    if (loadTunedConfig())  // check external storage
         return;
 
     UMat benchData(1, numImages * top_dim_, (use_half_) ? CV_16SC1 : CV_32FC1);
diff --git a/modules/dnn/src/opencl/conv_layer_spatial.cl b/modules/dnn/src/opencl/conv_layer_spatial.cl
index 621ab6f620..dc7b047fe5 100644
--- a/modules/dnn/src/opencl/conv_layer_spatial.cl
+++ b/modules/dnn/src/opencl/conv_layer_spatial.cl
@@ -206,8 +206,6 @@ __kernel void ConvolveBasic(
 
 #elif defined KERNEL_IDLF
 
-#define VLOAD4(_v, _p) do { _v = vload4(0, _p); } while(0)
-
 // Each work-item computes a OUT_BLOCK_WIDTH * OUT_BLOCK_HEIGHT region of one output map.
 // Each work-group (which will be mapped to 1 SIMD16/SIMD8 EU thread) will compute 16/8 different feature maps, but each feature map is for the same region of the input image.
 // NDRange:  (output_width+pad)/ OUT_BLOCK_WIDTH, (output_height+pad)/OUT_BLOCK_HEIGHT, NUM_FILTERS/OUT_BLOCK_DEPTH
@@ -219,190 +217,123 @@ __kernel void
 convolve_simd(
     ELTWISE_DATA_ARG
     FUSED_ARG
-    __global Dtype* inputs_base,
-    filter_qualifier Dtype* weights_base,
+    __global Dtype* inputs,
+    __global Dtype* weights,
     BIAS_KERNEL_ARG
-    __global Dtype* outputs_base,
+    __global Dtype* outputs,
     const ushort input_width,
     const ushort input_height,
     const ushort output_width,
     const ushort output_height)
 {
-  __global Dtype* outputs = outputs_base;
-  __global Dtype* inputs = inputs_base;
-  filter_qualifier Dtype* weights = weights_base;
   unsigned int oc = get_global_id(0) * OUT_BLOCK_WIDTH;  // oc = Output Column
-  unsigned int or = get_global_id(1) * OUT_BLOCK_HEIGHT;// or = Output Row
-  unsigned int fm = get_global_id(2);// fm = Feature Map = od = Output Depth
+  unsigned int or = get_global_id(1) * OUT_BLOCK_HEIGHT; // or = Output Row
+  unsigned int fm = get_global_id(2);                    // fm = Feature Map = od = Output Depth
   unsigned int fmg = get_group_id(2);
   unsigned int lid = get_local_id(2);
 
-  Dtype out[OUT_BLOCK_WIDTH * OUT_BLOCK_HEIGHT];
-
-  int in_addr;
+  Dtype out[OUT_BLOCK_WIDTH * OUT_BLOCK_HEIGHT] = { 0.0f };
 
   // find weights address of given neuron (lid is index)
-  unsigned int weight_addr = (fmg % (ALIGNED_NUM_FILTERS/SIMD_SIZE)) * INPUT_DEPTH * KERNEL_WIDTH * KERNEL_HEIGHT * SIMD_SIZE + lid;
+  unsigned int weight_addr = (fmg % FILTERS_IN_GROUP) *
+                             INPUT_DEPTH * KERNEL_WIDTH * KERNEL_HEIGHT * SIMD_SIZE + lid;
 
-  for(int i=0;i<OUT_BLOCK_SIZE;i++) {
-    out[i]=0.0f;
-  }
+  unsigned int num_in_batch = fm / ALIGNED_NUM_FILTERS;
 
-  unsigned int num_in_batch = ( fm ) / ALIGNED_NUM_FILTERS;
+  unsigned int input_batch_offset = num_in_batch * INPUT_PITCH * TOTAL_INPUT_DEPTH_SIZE;
 
-  unsigned int input_batch_offset = num_in_batch * input_height * input_width * TOTAL_INPUT_DEPTH_SIZE;
-
-  int curr_local_y = ( lid / ( TILE_X / 4 ) );
-  int curr_local_x = ( lid % ( TILE_X / 4 ) ) * 4;
-  int curr_y = or * STRIDE_Y + curr_local_y;
-  int curr_x = oc * STRIDE_X + curr_local_x;
+  int curr_y = or * STRIDE_Y;
+  int curr_x = oc * STRIDE_X + lid;
 #if INPUT_PAD_W != 0 || INPUT_PAD_H != 0 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
   int saved_y = curr_y;
 #endif
-  in_addr = input_batch_offset
-            +  (curr_y - INPUT_PAD_H) * input_width             // y tile offset
-            +   curr_x - INPUT_PAD_W;                        // x tile offset
-  union {
-    Dtype4 in_vec[INVEC_SIZE];
-    Dtype in_array[INVEC_SIZE * 4];
-  } in_buf;
+  int in_addr = input_batch_offset
+                +  (curr_y - INPUT_PAD_H) * INPUT_WIDTH          // y tile offset
+                +   curr_x - INPUT_PAD_W;                        // x tile offset
+
+  Dtype in_buf[INVEC_SIZE];
 
   for(int kd = 0; kd < INPUT_DEPTH; kd++)
   {
     int in_offset = in_addr;
-    int reg = 0;
-    LOOP(INVEC_SIZE, reg,
-      {
-        if (curr_local_y + reg * TILE_Y_STRIDE < TILE_Y || INVEC_SIZE * TILE_Y_STRIDE <= (TILE_Y + 2) || reg < INVEC_SIZE - 1) {
+    __attribute__((opencl_unroll_hint(INVEC_SIZE)))
+    for (int reg = 0; reg < INVEC_SIZE; reg++)
+    {
+        in_buf[reg] = inputs[in_offset];
 #if INPUT_PAD_W != 0 || INPUT_PAD_H != 0 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
-        if (curr_y >= INPUT_PAD_H && curr_y < input_height + INPUT_PAD_H && curr_x + 3 >= INPUT_PAD_W && curr_x < input_width + INPUT_PAD_W) {
-          if (curr_x < INPUT_PAD_W) {
-            in_buf.in_vec[reg].s0 = 0;
-            if (curr_x + 1 >= INPUT_PAD_W && curr_x + 1 < input_width + INPUT_PAD_W)
-              in_buf.in_vec[reg].s1 = *(inputs + in_offset + 1);
-            else
-              in_buf.in_vec[reg].s1 = 0;
-            if (curr_x + 2 >= INPUT_PAD_W && curr_x + 2 < input_width + INPUT_PAD_W)
-              in_buf.in_vec[reg].s2 = *(inputs + in_offset + 2);
-            else
-              in_buf.in_vec[reg].s2 = 0;
-            if (curr_x + 3 < input_width + INPUT_PAD_W)
-              in_buf.in_vec[reg].s3 = *(inputs + in_offset + 3);
-            else
-              in_buf.in_vec[reg].s3 = 0;
-          } else {
-            VLOAD4(in_buf.in_vec[reg], inputs + in_offset);
-            if (curr_x + 1 >= input_width + INPUT_PAD_W)
-              in_buf.in_vec[reg].s1 = 0;
-            if (curr_x + 2 >= input_width + INPUT_PAD_W)
-              in_buf.in_vec[reg].s2 = 0;
-            if (curr_x + 3 >= input_width + INPUT_PAD_W)
-              in_buf.in_vec[reg].s3 = 0;
-          }
-        } else {
-          in_buf.in_vec[reg] = 0;
+        if (!(curr_y >= INPUT_PAD_H && curr_y < INPUT_HEIGHT + INPUT_PAD_H &&
+              curr_x >= INPUT_PAD_W && curr_x < INPUT_WIDTH + INPUT_PAD_W))
+        {
+          in_buf[reg] = 0;
         }
-        curr_y += TILE_Y_STRIDE;
-#else
-        VLOAD4(in_buf.in_vec[reg], inputs + in_offset);
 #endif
-        }
-        in_offset += input_width * TILE_Y_STRIDE;
-      });
-    in_addr += input_height * input_width;
+        curr_y += 1;
+        in_offset += INPUT_WIDTH;
+    }
+
+    in_addr += INPUT_PITCH;
+
 #if INPUT_PAD_W != 0 || INPUT_PAD_H != 0 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
     curr_y = saved_y;
 #endif
 
-#if KERNEL_WIDTH * KERNEL_HEIGHT != 1
-#define WEIGHT_PREF 8
-#else
-#define WEIGHT_PREF 1
-#endif
-    union {
-      Dtype w[WEIGHT_PREF];
-#if KERNEL_WIDTH * KERNEL_HEIGHT != 1
-      INT_TYPE8 ui8;
-#endif
-    } weight_buf;
+    Dtype weight_buf[WEIGHT_PREF];
     int w_idx=0;
 
-    unsigned int orig_weight_addr = weight_addr;
-#if KERNEL_WIDTH * KERNEL_HEIGHT != 1
-    weight_buf.ui8 = SUB_GROUP_BLOCK_READ8((__global INT_TYPE *)&weights[weight_addr]);
-    weight_addr += SIMD_SIZE * WEIGHT_PREF;
-#else
-    weight_buf.w[0] = as_Dtype(SUB_GROUP_BLOCK_READ((__global INT_TYPE *)&weights[weight_addr]));
-    weight_addr += SIMD_SIZE * 1;
-#endif
+    for (int i = 0; i < WEIGHT_PREF; i++)
+    {
+        weight_buf[i] = weights[weight_addr];
+        weight_addr += SIMD_SIZE;
+    }
 
-#define BLOCK_IN(n) sub_group_broadcast( in_buf.in_array[((n)%4) + ((n) / (TILE_Y_STRIDE * TILE_X)) * 4], (((n) % (TILE_Y_STRIDE * TILE_X))/4))
+#define BLOCK_IN(n, c) intel_sub_group_shuffle(in_buf[n], (c))
 
     int kr = 0;  // kr = Kernel Row
     LOOP(KERNEL_HEIGHT, kr,// LOOP is a macro that unrolls the loop.
+    {
+        int kc = 0;  // kc = Kernel Column
+        LOOP(KERNEL_WIDTH, kc,
         {
-          int kc = 0;  // kc = Kernel Column
-          LOOP(KERNEL_WIDTH, kc,
-              {
-                for(int br=0; br < OUT_BLOCK_HEIGHT; br++) {
-                  for(int bc=0; bc < OUT_BLOCK_WIDTH; bc++) {
-                    Dtype input = BLOCK_IN((br * STRIDE_Y + kr * DILATION_Y) * TILE_X + bc * STRIDE_X + kc * DILATION_X);
-                    out[br * OUT_BLOCK_WIDTH + bc] = mad(weight_buf.w[w_idx % WEIGHT_PREF], input, out[br * OUT_BLOCK_WIDTH + bc]);
-                  }
-                }
-#if KERNEL_WIDTH * KERNEL_HEIGHT > WEIGHT_PREF
-                // We assume KERNEL_W is equal to KERNEL_H here.
-                if ((w_idx + 1) % WEIGHT_PREF == 0
-                #if KERNEL_WIDTH * KERNEL_HEIGHT % 8 != 0
-                && ((w_idx + 1) <= (KERNEL_WIDTH * KERNEL_HEIGHT - WEIGHT_PREF))
-                #endif
-                    ) {
-                  weight_buf.ui8 = SUB_GROUP_BLOCK_READ8((__global INT_TYPE *)&weights[weight_addr]);
-                  weight_addr += SIMD_SIZE * WEIGHT_PREF;  // weights must be stored in just the right SIMD swizzled format for this to work, see host code for details.
+            for (int br=0; br < OUT_BLOCK_HEIGHT; br++)
+            {
+                for(int bc=0; bc < OUT_BLOCK_WIDTH; bc++)
+                {
+                    Dtype input = BLOCK_IN((br * STRIDE_Y + kr * DILATION_Y), bc * STRIDE_X + kc * DILATION_X);
+                    out[br * OUT_BLOCK_WIDTH + bc] = mad(weight_buf[w_idx % WEIGHT_PREF], input, out[br * OUT_BLOCK_WIDTH + bc]);
                 }
-              #if KERNEL_WIDTH*KERNEL_HEIGHT % 8 == 0
-                // need to do nothing
-              #else
-                else if ((w_idx + 1) %  WEIGHT_PREF == 0 && ((w_idx + 1) > (KERNEL_WIDTH * KERNEL_HEIGHT - WEIGHT_PREF)))
-                #if KERNEL_WIDTH * KERNEL_HEIGHT % 8 == 1
-                  weight_buf.w[0] = weights[weight_addr];
-                #elif KERNEL_WIDTH * KERNEL_HEIGHT % 8 == 2
-                  weight_buf.ui8.s01 = SUB_GROUP_BLOCK_READ2((__global INT_TYPE *)&weights[weight_addr]);
-                #elif KERNEL_WIDTH * KERNEL_HEIGHT % 8 <= 4
-                  weight_buf.ui8.s0123 = SUB_GROUP_BLOCK_READ4((__global INT_TYPE *)&weights[weight_addr]);
-                #else
-                  weight_buf.ui8 = SUB_GROUP_BLOCK_READ8((__global INT_TYPE *)&weights[weight_addr]);
-                #endif
-              #endif
-#endif
-                ++w_idx;
-              });
+            }
+            weight_buf[w_idx % WEIGHT_PREF] = weights[weight_addr];
+            weight_addr += SIMD_SIZE;
+            ++w_idx;
         });
-    weight_addr = orig_weight_addr + KERNEL_WIDTH * KERNEL_HEIGHT * SIMD_SIZE;
-
-  }
-  // dead code to work around possible compiler bug.
-  if (ALIGNED_NUM_FILTERS != NUM_FILTERS && fm > 0xfffffffeul) {
-    outputs[0] = BLOCK_IN(fm % SIMD_SIZE);
+    });
+    weight_addr -= WEIGHT_PREF * SIMD_SIZE;
   }
+
   fm = fm % ALIGNED_NUM_FILTERS;
 
-  if ((ALIGNED_NUM_FILTERS == NUM_FILTERS || fm < NUM_FILTERS)) {
-  unsigned int out_addr = ( num_in_batch * TOTAL_OUTPUT_DEPTH + fm ) * output_width * output_height;
-  out_addr += or * output_width + oc;
-  // we need this address calculation for biases because we support views and batching
+#if LEFT_FILTERS > 0
+  if (fm < NUM_FILTERS)
+#endif
+  {
+    unsigned int out_addr = (num_in_batch * TOTAL_OUTPUT_DEPTH + fm) * OUTPUT_PITCH;
+    out_addr += or * output_width + oc;
+    // we need this address calculation for biases because we support views and batching
 #if APPLY_BIAS
-  Dtype bias = biases_base[fm];
+    Dtype bias = biases_base[fm];
 #else
-  Dtype bias = 0;
+    Dtype bias = 0;
 #endif
-    for(unsigned int r = 0; r < OUT_BLOCK_HEIGHT; r++) {
+
+    for(unsigned int r = 0; r < OUT_BLOCK_HEIGHT; r++)
+    {
       if (r + or >= output_height) break;
-      for(unsigned int c = 0; c < OUT_BLOCK_WIDTH; c++) {
+      for(unsigned int c = 0; c < OUT_BLOCK_WIDTH; c++)
+      {
         if (c + oc >= output_width) break;
-        // this does a scattered write to SIMD_SIZE different feature maps, so that data within one map is contiguous, thus ready for input to next layer.
+        // this does a scattered write to SIMD_SIZE different feature maps,
+        // so that data within one map is contiguous, thus ready for input to next layer.
         ACTIVATION_FUNCTION(outputs, out_addr + r * output_width + c, bias + out[r * OUT_BLOCK_WIDTH + c], fm);
-
       }
     }
   }