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authorMichalis Spyrou <michalis.spyrou@arm.com>2018-09-11 11:16:47 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:54 +0000
commitf1addb665ad668dcd34e18c52e4961a7cf5e3886 (patch)
tree11c1b606ab26416dd0b39f1526e7eba60394e7c3 /src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp
parent96f6769de9d9ebe3e631b81aac9a82934a79b0c4 (diff)
downloadComputeLibrary-f1addb665ad668dcd34e18c52e4961a7cf5e3886.tar.gz
COMPMID-1549 Implementing Batch to Space on OpenCL - NHWC
Change-Id: If7ae0a8b6255a10711365068d9fb153c71f09818 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/147751 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp25
1 files changed, 17 insertions, 8 deletions
diff --git a/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp b/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp
index e08d6f6ec5..8f56f66845 100644
--- a/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp
+++ b/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp
@@ -58,10 +58,15 @@ Status validate_arguments_static(const ITensorInfo *input, const int block_shape
// Validate output if initialized
if(output->total_size() != 0)
{
- ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[0] != (block_shape_x * output->tensor_shape()[0]));
- ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[1] != (block_shape_x * output->tensor_shape()[1]));
- ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[2] != output->tensor_shape()[2]);
- ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[3] % (block_shape_x * block_shape_y) != 0);
+ const DataLayout data_layout = input->data_layout();
+ const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
+ const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
+ const int idx_channel = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL);
+ const int idx_batch = get_data_layout_dimension_index(data_layout, DataLayoutDimension::BATCHES);
+ ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_width] != (block_shape_x * output->tensor_shape()[idx_width]));
+ ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_height] != (block_shape_x * output->tensor_shape()[idx_height]));
+ ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_channel] != output->tensor_shape()[idx_channel]);
+ ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_batch] % (block_shape_x * block_shape_y) != 0);
ARM_COMPUTE_RETURN_ERROR_ON(output->num_dimensions() > 4);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
}
@@ -84,12 +89,14 @@ void CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const ICLTenso
_block_shape = block_shape;
_output = output;
+ const int idx_width = get_data_layout_dimension_index(input->info()->data_layout(), DataLayoutDimension::WIDTH);
+
// Create kernel
CLBuildOptions build_opts;
build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(input->info()->dimension(3)));
- build_opts.add_option("-DWIDTH_IN=" + support::cpp11::to_string(input->info()->dimension(0)));
- _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("batch_to_space", build_opts.options()));
+ build_opts.add_option("-DWIDTH_IN=" + support::cpp11::to_string(input->info()->dimension(idx_width)));
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("batch_to_space_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options()));
// Configure kernel window
Window win = calculate_max_window(*input->info(), Steps());
@@ -108,14 +115,16 @@ void CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const int32_t
_input = input;
_output = output;
+ const int idx_width = get_data_layout_dimension_index(input->info()->data_layout(), DataLayoutDimension::WIDTH);
+
// Create kernel
CLBuildOptions build_opts;
build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(input->info()->dimension(3)));
build_opts.add_option("-DBLOCK_SHAPE_X=" + support::cpp11::to_string(block_shape_x));
build_opts.add_option("-DBLOCK_SHAPE_Y=" + support::cpp11::to_string(block_shape_y));
- build_opts.add_option("-DWIDTH_IN=" + support::cpp11::to_string(input->info()->dimension(0)));
- _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("batch_to_space_static", build_opts.options()));
+ build_opts.add_option("-DWIDTH_IN=" + support::cpp11::to_string(input->info()->dimension(idx_width)));
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("batch_to_space_static_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options()));
// Configure kernel window
Window win = calculate_max_window(*input->info(), Steps());