summaryrefslogtreecommitdiff
path: root/libs/ARMComputeEx/src/core/CL/cl_kernels/space_to_depth.cl
diff options
context:
space:
mode:
Diffstat (limited to 'libs/ARMComputeEx/src/core/CL/cl_kernels/space_to_depth.cl')
-rw-r--r--libs/ARMComputeEx/src/core/CL/cl_kernels/space_to_depth.cl69
1 files changed, 69 insertions, 0 deletions
diff --git a/libs/ARMComputeEx/src/core/CL/cl_kernels/space_to_depth.cl b/libs/ARMComputeEx/src/core/CL/cl_kernels/space_to_depth.cl
new file mode 100644
index 000000000..f6977045a
--- /dev/null
+++ b/libs/ARMComputeEx/src/core/CL/cl_kernels/space_to_depth.cl
@@ -0,0 +1,69 @@
+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright (c) 2016, 2017 ARM Limited.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#include "helpers.h"
+
+#if defined(DATA_TYPE) && defined(DEPTH_IN) && defined(BLOCK_SIZE)
+/** Perform space to depth rearrangement of tensor
+ *
+ * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float
+ * @attention Input tensor depth should be given as a preprocessor argument using -DDEPTH_IN=size. e.g. -DDEPTH_IN=16
+ * @attention block size should be given as a preprocessor argument using -DBLOCK_SIZE=size. e.g. -DBLOCK_SIZE=1
+ *
+ * @param[in] input_ptr Pointer to the source image. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input_stride_x Stride of the source image in X dimension (in bytes)
+ * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] input_stride_y Stride of the source image in Y dimension (in bytes)
+ * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source image
+ * @param[out] output_ptr Pointer to the destination image. Supported data types: same as @p inpu
+t_ptr
+ * @param[in] output_stride_x Stride of the destination image in X dimension (in bytes)
+ * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] output_stride_y Stride of the destination image in Y dimension (in bytes)
+ * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in
+bytes)
+ * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] output_stride_w Stride of the source tensor in W dimension (in bytes)
+ * @param[in] output_step_w output_stride_w * number of elements along W processed per workitem(in bytes)
+ * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination image
+ */
+__kernel void space_to_depth(
+ TENSOR4D_DECLARATION(input),
+ TENSOR4D_DECLARATION(output))
+ {
+ Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT(input, DEPTH_IN);
+ Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(output, 0);
+
+ int out_index[4]={0};
+ int in_index[4]={0};
+
+ in_index[0] = get_global_id(0);//W
+ in_index[1] = get_global_id(1);//H
+ in_index[2] = get_global_id(2) % DEPTH_IN;//C
+ in_index[3] = get_global_id(2) / DEPTH_IN;//B
+
+ out_index[0] = in_index[0]/BLOCK_SIZE;
+ out_index[1] = in_index[1]/BLOCK_SIZE;
+ out_index[2] = in_index[2] + ((in_index[1] % BLOCK_SIZE) * BLOCK_SIZE + in_index[0] % BLOCK_SIZE) * DEPTH_IN;
+ out_index[3] = in_index[3];
+
+ *((__global DATA_TYPE *)tensor4D_offset(&out, out_index[0],out_index[1],out_index[2],out_index[3])) = *((__global DATA_TYPE *)in.ptr);
+ }
+#endif // defined(DATA_TYPE) && defined(DEPTH_IN) && defined(BLOCK_SIZE)