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author | Giorgio Arena <giorgio.arena@arm.com> | 2018-06-20 11:46:42 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:53:57 +0000 |
commit | d051e97e36b9981f411093904cc019c2c7f9ac75 (patch) | |
tree | 5ed3b8cb513928aac450f5ff9440e5a3fa017217 /src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp | |
parent | f1c2bf0971dd1c996da149faf3dd669d566074c7 (diff) | |
download | ComputeLibrary-d051e97e36b9981f411093904cc019c2c7f9ac75.tar.gz |
COMPMID-811 Add NHWC data format support for CL depthwise convolution
Change-Id: I574f7945f0be009c638d860028bce8b52b4120fd
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/136484
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp')
-rw-r--r-- | src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp | 17 |
1 files changed, 11 insertions, 6 deletions
diff --git a/src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp b/src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp index 0d158f1dab..c97ecaf8e0 100644 --- a/src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp +++ b/src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp @@ -37,12 +37,16 @@ using namespace arm_compute; namespace { -TensorShape compute_output_shape(const TensorShape &input, size_t conv_w, size_t conv_h) +TensorShape compute_output_shape(const TensorShape &input, size_t conv_w, size_t conv_h, const DataLayout &data_layout) { + const size_t idx_w = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); + const size_t idx_h = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); + const size_t idx_c = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); + TensorShape output_shape(input); - output_shape.set(0, conv_w); - output_shape.set(1, conv_h); - output_shape.set(2, input.x() / (conv_w * conv_h)); + output_shape.set(idx_w, conv_w); + output_shape.set(idx_h, conv_h); + output_shape.set(idx_c, input.x() / (conv_w * conv_h)); return output_shape; } @@ -54,7 +58,7 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, s if(output->total_size() != 0) { - TensorShape output_shape = compute_output_shape(input->tensor_shape(), conv_w, conv_h); + TensorShape output_shape = compute_output_shape(input->tensor_shape(), conv_w, conv_h, output->data_layout()); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), output_shape); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output); @@ -74,7 +78,7 @@ void CLDepthwiseVectorToTensorKernel::configure(const ICLTensor *input, ICLTenso ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); // Output auto inizialitation if not yet initialized - TensorShape output_shape = compute_output_shape(input->info()->tensor_shape(), conv_w, conv_h); + TensorShape output_shape = compute_output_shape(input->info()->tensor_shape(), conv_w, conv_h, output->info()->data_layout()); auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape)); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), conv_w, conv_h)); @@ -87,6 +91,7 @@ void CLDepthwiseVectorToTensorKernel::configure(const ICLTensor *input, ICLTenso build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())); build_opts.add_option("-DCONV_WIDTH=" + support::cpp11::to_string(conv_w)); build_opts.add_option("-DCONV_HEIGHT=" + support::cpp11::to_string(conv_h)); + build_opts.add_option("-D" + string_from_data_layout(output->info()->data_layout())); _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("depthwise_vector_to_tensor", build_opts.options())); |