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| author | SiCong Li <sicong.li@arm.com> | 2023-07-21 18:16:13 +0100 |
|---|---|---|
| committer | SiCong Li <sicong.li@arm.com> | 2023-07-28 15:25:06 +0000 |
| commit | 9129549110527fd53655d3e6b61e8e59bed6f97f (patch) | |
| tree | c42e6c7bf2928897b82b7f8457ea540cf2b74a2e /arm_compute/core/utils | |
| parent | 0b23e0e6402cb18ddf621d36454cadbb73959518 (diff) | |
| download | ComputeLibrary-9129549110527fd53655d3e6b61e8e59bed6f97f.tar.gz | |
Retain back-compatibility for arm_compute/core/Types.h
* Some symbols have been moved from core/Types.h. This patch retains
back compatibility so that the user can still include this header
for those symbols
* A new header core/CoreTypes.h is created to avoid circular dependency.
This header includes essential small types that are used across
functions
* Move all function info types into function_info folder for easier
tracking
Resolves COMPMID-6330
Related to https://review.mlplatform.org/c/ml/ComputeLibrary/+/9757
Signed-off-by: SiCong Li <sicong.li@arm.com>
Change-Id: I4739175c2d4d184a9bc8e28b881b497fab03ca60
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9979
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/utils')
| -rw-r--r-- | arm_compute/core/utils/FormatUtils.h | 4 | ||||
| -rw-r--r-- | arm_compute/core/utils/misc/ShapeCalculator.h | 12 |
2 files changed, 8 insertions, 8 deletions
diff --git a/arm_compute/core/utils/FormatUtils.h b/arm_compute/core/utils/FormatUtils.h index 10e6f747f2..afb0f78255 100644 --- a/arm_compute/core/utils/FormatUtils.h +++ b/arm_compute/core/utils/FormatUtils.h @@ -24,7 +24,8 @@ #ifndef ARM_COMPUTE_CORE_UTILS_FORMATUTILS_H #define ARM_COMPUTE_CORE_UTILS_FORMATUTILS_H -#include "arm_compute/core/Types.h" +#include "arm_compute/core/CoreTypes.h" +#include "arm_compute/core/Error.h" namespace arm_compute { @@ -339,6 +340,5 @@ inline size_t num_channels_from_format(Format format) * @return The string describing the format. */ const std::string &string_from_format(Format format); - } #endif /*ARM_COMPUTE_CORE_UTILS_FORMATUTILS_H */ diff --git a/arm_compute/core/utils/misc/ShapeCalculator.h b/arm_compute/core/utils/misc/ShapeCalculator.h index 2a4aa4d7db..77ad33910b 100644 --- a/arm_compute/core/utils/misc/ShapeCalculator.h +++ b/arm_compute/core/utils/misc/ShapeCalculator.h @@ -24,11 +24,11 @@ #ifndef ACL_ARM_COMPUTE_CORE_UTILS_MISC_SHAPECALCULATOR #define ACL_ARM_COMPUTE_CORE_UTILS_MISC_SHAPECALCULATOR -#include "arm_compute/core/ConvolutionInfo.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/ITensorInfo.h" #include "arm_compute/core/KernelDescriptors.h" #include "arm_compute/core/Utils.h" +#include "arm_compute/function_info/ConvolutionInfo.h" #include "arm_compute/runtime/FunctionDescriptors.h" #include "arm_compute/core/utils/helpers/tensor_transform.h" @@ -433,8 +433,8 @@ inline TensorShape compute_depthwise_convolution_shape(const ITensorInfo &input, const int weights_width_idx = get_data_layout_dimension_index(weights_data_layout, DataLayoutDimension::WIDTH); const int weights_height_idx = get_data_layout_dimension_index(weights_data_layout, DataLayoutDimension::HEIGHT); - unsigned int output_width = 0; - unsigned int output_height = 0; + unsigned int output_width = 0; + unsigned int output_height = 0; std::tie(output_width, output_height) = scaled_dimensions(input_shape[width_idx], input_shape[height_idx], weights_shape[weights_width_idx], weights_shape[weights_height_idx], info.pad_stride_info, info.dilation); @@ -684,8 +684,8 @@ inline TensorShape compute_winograd_output_transform_shape(const ITensorInfo &in const DataLayout data_layout = winograd_info.output_data_layout; // Compute output shape - unsigned int output_width = 0; - unsigned int output_height = 0; + unsigned int output_width = 0; + unsigned int output_height = 0; std::tie(output_width, output_height) = scaled_dimensions(input_dimensions.width, input_dimensions.height, kernel_size.width, kernel_size.height, conv_info); @@ -725,7 +725,7 @@ inline TensorShape compute_deep_convolution_shape(const TensorShape &input_shape const unsigned int weights_out_channel = weights_shape[3]; unsigned int output_width = 0; unsigned int output_height = 0; - std::tie(output_width, output_height) = scaled_dimensions(input_width, input_height, weights_width, weights_height, conv_info); + std::tie(output_width, output_height) = scaled_dimensions(input_width, input_height, weights_width, weights_height, conv_info); TensorShape output_shape{ input_shape }; output_shape.set(idx_width, output_width); |