Apply clang-format on repository
Code is formatted as per a revised clang format configuration
file(not part of this delivery). Version 14.0.6 is used.
Exclusion List:
- files with .cl extension
- files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...)
And the following directories
- compute_kernel_writer/validation/
- tests/
- include/
- src/core/NEON/kernels/convolution/
- src/core/NEON/kernels/arm_gemm/
- src/core/NEON/kernels/arm_conv/
- data/
There will be a follow up for formatting of .cl files and the
files under tests/ and compute_kernel_writer/validation/.
Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>
Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
diff --git a/arm_compute/core/TensorInfo.h b/arm_compute/core/TensorInfo.h
index e738a79..b18f750 100644
--- a/arm_compute/core/TensorInfo.h
+++ b/arm_compute/core/TensorInfo.h
@@ -24,15 +24,14 @@
#ifndef ARM_COMPUTE_TENSORINFO_H
#define ARM_COMPUTE_TENSORINFO_H
-#include "arm_compute/core/ITensorInfo.h"
-
-#include "ITensorInfo.h"
#include "arm_compute/core/Coordinates.h"
#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensorInfo.h"
#include "arm_compute/core/Strides.h"
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
+#include "ITensorInfo.h"
#include <cstddef>
#include <memory>
@@ -112,7 +111,10 @@
* @param[in] data_type Data type to use for each tensor element
* @param[in] quantization_info The quantization settings for the tensor data.
*/
- TensorInfo(const TensorShape &tensor_shape, size_t num_channels, DataType data_type, QuantizationInfo quantization_info);
+ TensorInfo(const TensorShape &tensor_shape,
+ size_t num_channels,
+ DataType data_type,
+ QuantizationInfo quantization_info);
/** Initialize the tensor info with just a format.
*
@@ -136,7 +138,11 @@
* @param[in] offset_first_element_in_bytes Offset in bytes from the beginning of memory allocation to access the first element.
* @param[in] total_size_in_bytes Size in bytes of the memory allocation (including the offset to the first element).
*/
- void init(const TensorShape &tensor_shape, Format format, const Strides &strides_in_bytes, size_t offset_first_element_in_bytes, size_t total_size_in_bytes);
+ void init(const TensorShape &tensor_shape,
+ Format format,
+ const Strides &strides_in_bytes,
+ size_t offset_first_element_in_bytes,
+ size_t total_size_in_bytes);
/** Initialize the tensor info with just a format.
*
@@ -164,8 +170,12 @@
* @param[in] offset_first_element_in_bytes Offset in bytes from the beginning of memory allocation to access the first element.
* @param[in] total_size_in_bytes Size in bytes of the memory allocation (including the offset to the first element).
*/
- void init(const TensorShape &tensor_shape, size_t num_channels, DataType data_type, const Strides &strides_in_bytes, size_t offset_first_element_in_bytes,
- size_t total_size_in_bytes);
+ void init(const TensorShape &tensor_shape,
+ size_t num_channels,
+ DataType data_type,
+ const Strides &strides_in_bytes,
+ size_t offset_first_element_in_bytes,
+ size_t total_size_in_bytes);
/** Initialize the metadata structure for the given tensor shape and single-plane format, (Padding is automatically calculated)
*
* @note The padding used by this method is really conservative so that the tensor can be used for most functions.
@@ -191,19 +201,19 @@
// Inherited methods overridden:
std::unique_ptr<ITensorInfo> clone() const override;
- ITensorInfo &set_data_type(DataType data_type) override;
- ITensorInfo &set_num_channels(int num_channels) override;
- ITensorInfo &set_format(Format format) override;
- ITensorInfo &set_tensor_shape(const TensorShape &shape) override;
- ITensorInfo &set_tensor_dims_state(const TensorDimsState &state) override;
- ITensorInfo &set_quantization_info(const QuantizationInfo &quantization_info) override;
- ITensorInfo &set_data_layout(const DataLayout &data_layout) override;
- ITensorInfo &reset_padding() override;
- bool auto_padding() override;
- ITensorInfo &set_lock_paddings(bool flag) override;
- bool lock_paddings() const override;
- bool extend_padding(const PaddingSize &padding) override;
- size_t dimension(size_t index) const override
+ ITensorInfo &set_data_type(DataType data_type) override;
+ ITensorInfo &set_num_channels(int num_channels) override;
+ ITensorInfo &set_format(Format format) override;
+ ITensorInfo &set_tensor_shape(const TensorShape &shape) override;
+ ITensorInfo &set_tensor_dims_state(const TensorDimsState &state) override;
+ ITensorInfo &set_quantization_info(const QuantizationInfo &quantization_info) override;
+ ITensorInfo &set_data_layout(const DataLayout &data_layout) override;
+ ITensorInfo &reset_padding() override;
+ bool auto_padding() override;
+ ITensorInfo &set_lock_paddings(bool flag) override;
+ bool lock_paddings() const override;
+ bool extend_padding(const PaddingSize &padding) override;
+ size_t dimension(size_t index) const override
{
return _tensor_shape[index];
}
@@ -220,7 +230,7 @@
return _offset_first_element_in_bytes;
}
int32_t offset_element_in_bytes(const Coordinates &pos) const override;
- size_t element_size() const override
+ size_t element_size() const override
{
return data_size_from_type(_data_type) * _num_channels;
}
@@ -266,7 +276,8 @@
}
bool is_dynamic() const override
{
- return std::find(std::cbegin(_dims_state), std::cend(_dims_state), get_dynamic_state_value()) != std::cend(_dims_state);
+ return std::find(std::cbegin(_dims_state), std::cend(_dims_state), get_dynamic_state_value()) !=
+ std::cend(_dims_state);
}
bool are_values_constant() const override
{
@@ -343,11 +354,15 @@
*/
inline bool operator==(const TensorInfo &lhs, const TensorInfo &rhs)
{
- return (lhs._total_size == rhs._total_size) && (lhs._offset_first_element_in_bytes == rhs._offset_first_element_in_bytes) && (lhs._strides_in_bytes == rhs._strides_in_bytes)
- && (lhs._num_channels == rhs._num_channels) && (lhs._tensor_shape == rhs._tensor_shape) && (lhs._dims_state == rhs._dims_state) && (lhs._data_type == rhs._data_type) && (lhs._format == rhs._format)
- && (lhs._is_resizable == rhs._is_resizable) && (lhs._valid_region == rhs._valid_region) && (lhs._padding == rhs._padding) && (lhs._quantization_info == rhs._quantization_info)
- && (lhs._data_layout == rhs._data_layout) && (lhs._are_values_constant == rhs._are_values_constant)
- && (lhs._id == rhs._id);
+ return (lhs._total_size == rhs._total_size) &&
+ (lhs._offset_first_element_in_bytes == rhs._offset_first_element_in_bytes) &&
+ (lhs._strides_in_bytes == rhs._strides_in_bytes) && (lhs._num_channels == rhs._num_channels) &&
+ (lhs._tensor_shape == rhs._tensor_shape) && (lhs._dims_state == rhs._dims_state) &&
+ (lhs._data_type == rhs._data_type) && (lhs._format == rhs._format) &&
+ (lhs._is_resizable == rhs._is_resizable) && (lhs._valid_region == rhs._valid_region) &&
+ (lhs._padding == rhs._padding) && (lhs._quantization_info == rhs._quantization_info) &&
+ (lhs._data_layout == rhs._data_layout) && (lhs._are_values_constant == rhs._are_values_constant) &&
+ (lhs._id == rhs._id);
}
} // namespace arm_compute
#endif /*ARM_COMPUTE_TENSORINFO_H */