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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-07-20 13:23:44 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
commit | e2220551b7a64b929650ba9a60529c31e70c13c5 (patch) | |
tree | 5d609887f15b4392cdade7bb388710ceafc62260 /src/core/CL/kernels/CLNormalizationLayerKernel.cpp | |
parent | eff8d95991205e874091576e2d225f63246dd0bb (diff) | |
download | ComputeLibrary-e2220551b7a64b929650ba9a60529c31e70c13c5.tar.gz |
COMPMID-1367: Enable NHWC in graph examples
Change-Id: Iabc54a3a1bdcd46a9a921cda39c7c85fef672b72
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/141449
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLNormalizationLayerKernel.cpp')
-rw-r--r-- | src/core/CL/kernels/CLNormalizationLayerKernel.cpp | 22 |
1 files changed, 13 insertions, 9 deletions
diff --git a/src/core/CL/kernels/CLNormalizationLayerKernel.cpp b/src/core/CL/kernels/CLNormalizationLayerKernel.cpp index df01eab240..edc9e9d58c 100644 --- a/src/core/CL/kernels/CLNormalizationLayerKernel.cpp +++ b/src/core/CL/kernels/CLNormalizationLayerKernel.cpp @@ -42,6 +42,8 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, N ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_layout() == DataLayout::NHWC && norm_info.type() == NormType::IN_MAP_2D, + "Only Cross-map and 1D In-map normalization is supported for NHWC layout"); ARM_COMPUTE_RETURN_ERROR_ON_MSG(!(norm_info.norm_size() % 2), "Normalization size should be odd"); // Checks performed when output is configured @@ -59,14 +61,15 @@ std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITen // Output tensor auto initialization if not yet initialized auto_init_if_empty(*output, *input->clone()); - const unsigned int norm_size = norm_info.norm_size(); - bool is_in_map = norm_info.is_in_map(); + const unsigned int norm_idx = get_normalization_dimension_index(input->data_layout(), norm_info); + const unsigned int norm_size = norm_info.norm_size(); + bool is_norm_accross_width = norm_idx == 0; - const unsigned int border_width = is_in_map ? std::min(norm_size / 2, 3U) : 0; + const unsigned int border_width = is_norm_accross_width ? std::min(norm_size / 2, 3U) : 0; const BorderSize border_size = BorderSize(0, border_width); const unsigned int num_elems_processed_per_iteration = 4; - const unsigned int num_elems_read_per_iteration = is_in_map ? (num_elems_processed_per_iteration + 2 * (norm_size / 2)) : num_elems_processed_per_iteration; + const unsigned int num_elems_read_per_iteration = is_norm_accross_width ? (num_elems_processed_per_iteration + 2 * (norm_size / 2)) : num_elems_processed_per_iteration; Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); @@ -84,7 +87,7 @@ std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITen } // namespace CLNormalizationLayerKernel::CLNormalizationLayerKernel() - : _input(nullptr), _output(nullptr), _border_size(0), _is_in_map(false) + : _input(nullptr), _output(nullptr), _border_size(0), _is_norm_across_width(false) { } @@ -106,8 +109,9 @@ void CLNormalizationLayerKernel::configure(const ICLTensor *input, ICLTensor *ou _input = input; _output = output; - _is_in_map = norm_info.is_in_map(); - const unsigned int border_width = _is_in_map ? std::min(norm_info.norm_size() / 2, 3U) : 0; + const unsigned int norm_idx = get_normalization_dimension_index(input->info()->data_layout(), norm_info); + _is_norm_across_width = norm_idx == 0; + const unsigned int border_width = _is_norm_across_width ? std::min(norm_info.norm_size() / 2, 3U) : 0; _border_size = BorderSize(0, border_width); const unsigned int num_elems_processed_per_iteration = 4; @@ -125,7 +129,7 @@ void CLNormalizationLayerKernel::configure(const ICLTensor *input, ICLTensor *ou build_opts.add_option_if(is_in_map_2D, "-DIN_MAP_2D"); // Create kernel - std::string kernel_name = _is_in_map ? "normalization_layer_in_map" : "normalization_layer_cross_map"; + std::string kernel_name = _is_norm_across_width ? "normalization_layer_in_map" : "normalization_layer_cross_map"; _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options())); // Configure kernel window @@ -159,7 +163,7 @@ void CLNormalizationLayerKernel::run(const Window &window, cl::CommandQueue &que ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); - const int collapsed_dimension = _is_in_map ? Window::DimZ : 4; + const int collapsed_dimension = _is_norm_across_width ? Window::DimZ : 4; Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), collapsed_dimension); Window slice = window_collapsed.first_slice_window_3D(); |