Fix CLDepthwiseConvolutionLayer 3x3 QASYMM8

Fix errors when computing tensors with one element only

- Replace Tensor3D with raw pointers so to get rid of offset to first element for NCHW layout
- Add stronger out of bound constraints for NHWC layout
- Set the border size to the input's padding for NHWC
- Fill the strides == 0 with the largest stride, so to avoid accessing empty strides and multiplying by 0

Resolve COMPMID-4088

Change-Id: I751a4e6d7094b3c42306ff7f53af848fd35f19ac
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5024
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

11 files changed, 78 insertions, 50 deletions

diff --git a/src/core/CL/cl_kernels/depthwise_convolution_quantized.cl b/src/core/CL/cl_kernels/depthwise_convolution_quantized.cl
index d39089b92..285c00a71 100644
--- a/src/core/CL/cl_kernels/depthwise_convolution_quantized.cl
+++ b/src/core/CL/cl_kernels/depthwise_convolution_quantized.cl
@@ -194,11 +194,11 @@ __kernel void dwc_3x3_native_quantized8_nchw(
 #endif //defined(HAS_BIAS)
 )
 {
-    Image    src                = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(src);
-    Image    dst                = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst);
-    Tensor3D weights            = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights);
-    Vector   output_multipliers = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output_multipliers);
-    Vector   output_shifts      = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output_shifts);
+    __global uchar *src_addr           = src_ptr + get_global_id(0) * src_step_x + get_global_id(1) * src_step_y + get_global_id(2) * src_step_z;
+    Image           dst                = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst);
+    Tensor3D        weights            = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights);
+    Vector          output_multipliers = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output_multipliers);
+    Vector          output_shifts      = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output_shifts);
 
     // Extract channel and linearized batch indices
     const int channel = get_global_id(2) % DST_CHANNELS;
@@ -211,7 +211,7 @@ __kernel void dwc_3x3_native_quantized8_nchw(
 #endif //defined(HAS_BIAS)
 
     // Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER)
-    src.ptr -= batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z + (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;
+    src_addr -= batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z + (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;
     __global uchar *weights_addr = weights.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z;
 
     VEC_DATA_TYPE(WEIGHTS_TYPE, 3)
@@ -235,7 +235,7 @@ __kernel void dwc_3x3_native_quantized8_nchw(
 
     // Row0
     int8 left, middle, right;
-    GET_VALUES(src.ptr + 0 * src_stride_y, left, middle, right);
+    GET_VALUES(src_addr + 0 * src_stride_y, left, middle, right);
     values0 += left * (int8)(w0.s0);
     values0 += middle * (int8)(w0.s1);
     values0 += right * (int8)(w0.s2);
@@ -245,10 +245,11 @@ __kernel void dwc_3x3_native_quantized8_nchw(
 #endif /* WEIGHTS_OFFSET != 0 */
 
     // Row1
-    GET_VALUES(src.ptr + DILATION_Y * src_stride_y, left, middle, right);
+    GET_VALUES(src_addr + DILATION_Y * src_stride_y, left, middle, right);
     values0 += left * (int8)(w1.s0);
     values0 += middle * (int8)(w1.s1);
     values0 += right * (int8)(w1.s2);
+
 #if CONV_STRIDE_Y == 1 && DILATION_Y == 1
     values1 += left * (int8)(w0.s0);
     values1 += middle * (int8)(w0.s1);
@@ -264,7 +265,7 @@ __kernel void dwc_3x3_native_quantized8_nchw(
 #endif /* WEIGHTS_OFFSET != 0 */
 
     // Row2
-    GET_VALUES(src.ptr + 2 * DILATION_Y * src_stride_y, left, middle, right);
+    GET_VALUES(src_addr + 2 * DILATION_Y * src_stride_y, left, middle, right);
     values0 += left * (int8)(w2.s0);
     values0 += middle * (int8)(w2.s1);
     values0 += right * (int8)(w2.s2);
@@ -284,7 +285,7 @@ __kernel void dwc_3x3_native_quantized8_nchw(
 
 #if CONV_STRIDE_Y == 1 && DILATION_Y == 1
     // Row3
-    GET_VALUES(src.ptr + 3 * src_stride_y, left, middle, right);
+    GET_VALUES(src_addr + 3 * src_stride_y, left, middle, right);
     values1 += left * (int8)(w2.s0);
     values1 += middle * (int8)(w2.s1);
     values1 += right * (int8)(w2.s2);
@@ -511,11 +512,11 @@ __kernel void dwc_3x3_native_quantized8_dot8_nchw(
 #endif //defined(HAS_BIAS)
 )
 {
-    Image    src                = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(src);
-    Image    dst                = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst);
-    Tensor3D weights            = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights);
-    Vector   output_multipliers = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output_multipliers);
-    Vector   output_shifts      = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output_shifts);
+    __global uchar *src_addr           = src_ptr + get_global_id(0) * src_step_x + get_global_id(1) * src_step_y + get_global_id(2) * src_step_z;
+    Image           dst                = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst);
+    Tensor3D        weights            = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights);
+    Vector          output_multipliers = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output_multipliers);
+    Vector          output_shifts      = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output_shifts);
 
     // Extract channel and linearized batch indices
     const int channel = get_global_id(2) % DST_CHANNELS;
@@ -528,7 +529,7 @@ __kernel void dwc_3x3_native_quantized8_dot8_nchw(
 #endif //defined(HAS_BIAS)
 
     // Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER)
-    src.ptr -= batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z + (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;
+    src_addr -= batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z + (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;
     __global uchar *weights_addr = weights.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z;
 
     VEC_TYPE(3)
@@ -551,9 +552,9 @@ __kernel void dwc_3x3_native_quantized8_dot8_nchw(
     int8 values0 = 0;
     int8 sum0    = 0;
 
-    GET_VALUES(src.ptr + 0 * src_stride_y, left0, middle0, right0);
-    GET_VALUES(src.ptr + DILATION_Y * src_stride_y, left1, middle1, right1);
-    GET_VALUES(src.ptr + 2 * DILATION_Y * src_stride_y, left2, middle2, right2);
+    GET_VALUES(src_addr + 0 * src_stride_y, left0, middle0, right0);
+    GET_VALUES(src_addr + DILATION_Y * src_stride_y, left1, middle1, right1);
+    GET_VALUES(src_addr + 2 * DILATION_Y * src_stride_y, left2, middle2, right2);
 
 #if WEIGHTS_OFFSET != 0
     sum0 += convert_int8(left0) + convert_int8(middle0) + convert_int8(right0);
@@ -569,7 +570,7 @@ __kernel void dwc_3x3_native_quantized8_dot8_nchw(
     int8 values1 = 0;
     int8 sum1    = 0;
 
-    GET_VALUES(src.ptr + 3 * src_stride_y, left3, middle3, right3);
+    GET_VALUES(src_addr + 3 * src_stride_y, left3, middle3, right3);
 
 #if WEIGHTS_OFFSET != 0
     sum1 += convert_int8(left1) + convert_int8(middle1) + convert_int8(right1);
@@ -923,7 +924,9 @@ __kernel void dwc_3x3_reshaped_quantized8_nhwc(
     // z_coord can be only negative for z = 0 so we do not need to clamp it
     // Moreover z_coord cannot be out-of-bound for z = 1 so we do not need to clamp the offset
     z_coord = z * (int)CONV_STRIDE_Y - (int)CONV_PAD_TOP + DILATION_Y;
+    z_coord = min((uint)z_coord, (uint)SRC_DIM_2);
     offset  = y_offset + (int4)(z_coord * src_stride_z);
+    offset  = min(offset, (int4)max_offset);
     VEC_TYPE(VEC_SIZE)
     values3 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0));
     VEC_TYPE(VEC_SIZE)
@@ -934,6 +937,7 @@ __kernel void dwc_3x3_reshaped_quantized8_nhwc(
     // z == 2
     // Offset can be out-of-bound so we need to check if it is greater than max_offset
     z_coord = z * (int)CONV_STRIDE_Y - (int)CONV_PAD_TOP + DILATION_Y * 2;
+    z_coord = min((uint)z_coord, (uint)SRC_DIM_2);
     offset  = y_offset + (int4)(z_coord * src_stride_z);
     offset  = min(offset, (int4)max_offset);
     VEC_TYPE(VEC_SIZE)
diff --git a/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NHWCKernel.cpp b/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NHWCKernel.cpp
index f553fd184..43c3ff3bf 100644
--- a/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NHWCKernel.cpp
+++ b/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NHWCKernel.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -233,7 +233,7 @@ void CLDepthwiseConvolutionLayer3x3NHWCKernel::configure(const CLCompileContext
 
     if(_is_quantized)
     {
-        _border_size = BorderSize(is_stride_1 ? 0 : conv_info.pad_left(), 0, std::max(std::max(conv_info.pad_right(), conv_info.pad_bottom()), conv_info.pad_top()), 0);
+        _border_size = BorderSize(input->info()->padding());
 
         // If QASYMM8 and the 8 bit dot product is available, force _num_planes_processed_per_iteration to 1
         if(is_dot8_supported)
diff --git a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp
index 1f8986590..5633ee5a2 100644
--- a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -284,8 +284,8 @@ void CLGEMMLowpMatrixMultiplyNativeKernel::run(const Window &window, cl::Command
 
     if(_input1->info()->num_dimensions() < 3)
     {
-        // The stride_z for matrix B must be zero if we do not slice
-        ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != 0);
+        // The stride_w for matrix B must be the same as stride_z if we do not slice
+        ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != _input1->info()->strides_in_bytes()[2]);
     }
 
     Window slice          = window.first_slice_window_3D();
diff --git a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.cpp b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.cpp
index ded4b29ae..3043e0151 100644
--- a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -254,8 +254,8 @@ void CLGEMMLowpMatrixMultiplyReshapedKernel::run(const Window &window, cl::Comma
 
     if(_input1->info()->num_dimensions() < 3)
     {
-        // The stride_z for matrix B must be zero if we do not slice
-        ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != 0);
+        // The stride_w for matrix B must be the same as stride_z if we do not slice
+        ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != _input1->info()->strides_in_bytes()[2]);
     }
 
     Window slice          = window.first_slice_window_3D();
diff --git a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.cpp b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.cpp
index 77cea2482..0122e3ba4 100644
--- a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -488,8 +488,8 @@ void CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel::run(const Window &window, cl
 
     if(_input1->info()->num_dimensions() < 3)
     {
-        // The stride_z for matrix B must be zero if we do not slice
-        ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != 0);
+        // The stride_w for matrix B must be the same as stride_z if we do not slice
+        ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != _input1->info()->strides_in_bytes()[2]);
     }
 
     Window slice          = window.first_slice_window_3D();
diff --git a/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp
index 2419104fb..a653e29f8 100644
--- a/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -484,8 +484,8 @@ void CLGEMMMatrixMultiplyKernel::run(const Window &window, cl::CommandQueue &que
 
     if(_input1->info()->num_dimensions() < 3)
     {
-        // The stride_z for matrix B must be zero if we do not slice
-        ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != 0);
+        // The stride_w for matrix B must be the same as stride_z if we do not slice
+        ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != _input1->info()->strides_in_bytes()[2]);
     }
 
     Window slice          = window.first_slice_window_3D();
diff --git a/src/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.cpp
index 387f1a4eb..fefcd2f74 100644
--- a/src/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -348,8 +348,8 @@ void CLGEMMMatrixMultiplyNativeKernel::run(const Window &window, cl::CommandQueu
 
     if(_input1->info()->num_dimensions() < 3)
     {
-        // The stride_z for matrix B must be zero if we do not slice
-        ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != 0);
+        // The stride_w for matrix B must be the same as stride_z if we do not slice
+        ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != _input1->info()->strides_in_bytes()[2]);
     }
 
     Window slice          = window.first_slice_window_3D();
diff --git a/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.cpp
index 23e18bac9..8a403555f 100644
--- a/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -359,8 +359,8 @@ void CLGEMMMatrixMultiplyReshapedKernel::run(const Window &window, cl::CommandQu
 
     if(_input1->info()->num_dimensions() < 3)
     {
-        // The stride_z for matrix B must be zero if we do not slice
-        ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != 0);
+        // The stride_w for matrix B must be the same as stride_z if we do not slice
+        ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != _input1->info()->strides_in_bytes()[2]);
     }
 
     Window slice          = window.first_slice_window_3D();
diff --git a/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp
index 1f296f8e2..de986de9f 100644
--- a/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -352,8 +352,8 @@ void CLGEMMMatrixMultiplyReshapedOnlyRHSKernel::run(const Window &window, cl::Co
 
     if(_input1->info()->num_dimensions() < 3)
     {
-        // The stride_z for matrix B must be zero if we do not slice
-        ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != 0);
+        // The stride_w for matrix B must be the same as stride_z if we do not slice
+        ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != _input1->info()->strides_in_bytes()[2]);
     }
 
     const size_t lhs_idx_batch_size = _reinterpret_input_as_3d && !_has_pad_y ? 3u : 2u;
diff --git a/src/core/helpers/Utils.h b/src/core/helpers/Utils.h
index 3c3b2b93f..d64eddb9a 100644
--- a/src/core/helpers/Utils.h
+++ b/src/core/helpers/Utils.h
@@ -1,5 +1,5 @@
 /*
-* Copyright (c) 2020 Arm Limited.
+* Copyright (c) 2020-2021 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -50,6 +50,30 @@ inline Strides compute_strides(const ITensorInfo &info, T stride_x, Ts &&... fix
         strides.set(i, shape[i - 1] * strides[i - 1]);
     }
 
+    size_t first_zero = std::distance(strides.begin(), std::find_if(strides.begin(), strides.end(), [](uint32_t val)
+    {
+        return val == 0U;
+    }));
+
+    if(first_zero > 0)
+    {
+        if(first_zero == 1)
+        {
+            strides.set(1, strides[0] * (shape[0] + info.padding().left + info.padding().right));
+            ++first_zero;
+        }
+        else if(first_zero == 2)
+        {
+            strides.set(2, strides[1] * (shape[1] + info.padding().top + info.padding().bottom));
+            ++first_zero;
+        }
+
+        for(size_t i = first_zero; i < Strides::num_max_dimensions; ++i)
+        {
+            strides.set(i, strides[first_zero - 1]);
+        }
+    }
+
     return strides;
 }
 
diff --git a/tests/validation/UNIT/TensorInfo.cpp b/tests/validation/UNIT/TensorInfo.cpp
index b5928cc27..44c934238 100644
--- a/tests/validation/UNIT/TensorInfo.cpp
+++ b/tests/validation/UNIT/TensorInfo.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2019 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -60,11 +60,11 @@ DATA_TEST_CASE(AutoPadding, framework::DatasetMode::ALL, zip(zip(zip(
                PaddingSize{ 4, 36, 4, 4 }})),
                framework::dataset::make("Strides", {
                Strides{},
-               Strides{ 1U, 50U },
-               Strides{ 1U, 50U },
-               Strides{ 1U, 50U, 900U },
-               Strides{ 1U, 50U, 900U, 9000U },
-               Strides{ 1U, 50U, 900U, 9000U, 90000U },
+               Strides{ 1U, 50U, 50U, 50U, 50U, 50U },
+               Strides{ 1U, 50U, 900U, 900U, 900U, 900U },
+               Strides{ 1U, 50U, 900U, 900U, 900U, 900U },
+               Strides{ 1U, 50U, 900U, 9000U, 9000U, 9000U },
+               Strides{ 1U, 50U, 900U, 9000U, 90000U, 90000U },
                Strides{ 1U, 50U, 900U, 9000U, 90000U, 900000U }})),
                framework::dataset::make("Offset", { 0U, 4U, 204U, 204U, 204U, 204U, 204U })),
                shape, auto_padding, strides, offset)