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authorFelix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>2023-09-27 17:46:17 +0100
committerfelixjohnny.thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>2023-09-28 12:08:05 +0000
commitafd38f0c617d6f89b2b4532c6c44f116617e2b6f (patch)
tree03bc7d5a762099989b16a656fa8d397b490ed70e /arm_compute/core/CL
parentbdcb4c148ee2fdeaaddf4cf1e57bbb0de02bb894 (diff)
downloadComputeLibrary-afd38f0c617d6f89b2b4532c6c44f116617e2b6f.tar.gz
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>
Diffstat (limited to 'arm_compute/core/CL')
-rw-r--r--arm_compute/core/CL/CLCompileContext.h17
-rw-r--r--arm_compute/core/CL/CLDevice.h16
-rw-r--r--arm_compute/core/CL/CLHelpers.h8
-rw-r--r--arm_compute/core/CL/CLTypes.h6
-rw-r--r--arm_compute/core/CL/ICLArray.h5
-rw-r--r--arm_compute/core/CL/ICLTensor.h7
-rw-r--r--arm_compute/core/CL/OpenCL.h9
7 files changed, 35 insertions, 33 deletions
diff --git a/arm_compute/core/CL/CLCompileContext.h b/arm_compute/core/CL/CLCompileContext.h
index 60e0f95f83..dcd3b45670 100644
--- a/arm_compute/core/CL/CLCompileContext.h
+++ b/arm_compute/core/CL/CLCompileContext.h
@@ -250,8 +250,12 @@ public:
*
* @return The created kernel.
*/
- Kernel create_kernel(const std::string &kernel_name, const std::string &program_name, const std::string &program_source,
- const std::string &kernel_path, const StringSet &build_options_set, bool is_binary) const;
+ Kernel create_kernel(const std::string &kernel_name,
+ const std::string &program_name,
+ const std::string &program_source,
+ const std::string &kernel_path,
+ const StringSet &build_options_set,
+ bool is_binary) const;
/** Clear the library's cache of binary programs
*/
@@ -323,7 +327,8 @@ private:
* @param[in] program_source Source of the program.
* @param[in] is_binary Flag to indicate if the program source is binary.
*/
- const Program &load_program(const std::string &program_name, const std::string &program_source, bool is_binary) const;
+ const Program &
+ load_program(const std::string &program_name, const std::string &program_source, bool is_binary) const;
/** Generates the build options given a string of user defined ones
*
@@ -343,11 +348,11 @@ private:
*/
std::string stringify_set(const StringSet &s, const std::string &kernel_path) const;
- cl::Context _context; /**< Underlying CL context. */
- CLDevice _device; /**< Underlying CL device. */
+ cl::Context _context; /**< Underlying CL context. */
+ CLDevice _device; /**< Underlying CL device. */
mutable std::map<std::string, const Program> _programs_map; /**< Map with all already loaded program data. */
mutable std::map<std::string, cl::Program> _built_programs_map; /**< Map with all already built program data. */
- bool _is_wbsm_supported; /**< Support of worksize batch size modifier support boolean*/
+ bool _is_wbsm_supported; /**< Support of worksize batch size modifier support boolean*/
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_CLCOMPILECONTEXT_H */
diff --git a/arm_compute/core/CL/CLDevice.h b/arm_compute/core/CL/CLDevice.h
index 5e0f86e6d9..ded6bb8493 100644
--- a/arm_compute/core/CL/CLDevice.h
+++ b/arm_compute/core/CL/CLDevice.h
@@ -44,8 +44,7 @@ class CLDevice : public IDevice
{
public:
/** Default Constructor */
- CLDevice()
- : _device(cl::Device()), _options()
+ CLDevice() : _device(cl::Device()), _options()
{
}
@@ -53,8 +52,7 @@ public:
*
* @param[in] cl_device OpenCL device
*/
- CLDevice(const cl::Device &cl_device)
- : _device(), _options()
+ CLDevice(const cl::Device &cl_device) : _device(), _options()
{
_device = cl_device;
@@ -66,13 +64,13 @@ public:
std::string extensions = _device.getInfo<CL_DEVICE_EXTENSIONS>();
std::istringstream iss(extensions);
- for(std::string s; iss >> s;)
+ for (std::string s; iss >> s;)
{
_options.extensions.insert(s);
}
// SW workaround for G76
- if(_options.gpu_target == GPUTarget::G76)
+ if (_options.gpu_target == GPUTarget::G76)
{
_options.extensions.insert("cl_arm_integer_dot_product_int8");
}
@@ -153,15 +151,15 @@ public:
*/
std::tuple<bool, std::string> is_non_uniform_workgroup_supported() const
{
- if(version() == CLVersion::CL30 && get_cl_non_uniform_work_group_supported(_device))
+ if (version() == CLVersion::CL30 && get_cl_non_uniform_work_group_supported(_device))
{
return {true, " -cl-std=CL3.0 "};
}
- else if(version() == CLVersion::CL20)
+ else if (version() == CLVersion::CL20)
{
return {true, " -cl-std=CL2.0 "};
}
- else if(supported("cl_arm_non_uniform_work_group_size"))
+ else if (supported("cl_arm_non_uniform_work_group_size"))
{
return {true, " -cl-arm-non-uniform-work-group-size "};
}
diff --git a/arm_compute/core/CL/CLHelpers.h b/arm_compute/core/CL/CLHelpers.h
index 20d93df5a1..1a639e47f9 100644
--- a/arm_compute/core/CL/CLHelpers.h
+++ b/arm_compute/core/CL/CLHelpers.h
@@ -179,7 +179,9 @@ bool dot8_acc_supported(const cl::Device &device);
*
* @return True if the configuration is supported
*/
-bool cl_winograd_convolution_layer_supported(const Size2D &output_tile, const Size2D &kernel_size, DataLayout data_layout);
+bool cl_winograd_convolution_layer_supported(const Size2D &output_tile,
+ const Size2D &kernel_size,
+ DataLayout data_layout);
/** Helper function to get the preferred native vector width size for built-in scalar types that can be put into vectors
*
@@ -215,7 +217,9 @@ bool image2d_from_buffer_supported(const cl::Device &device);
*
* @return An opencl kernel
*/
-cl::Kernel create_kernel(const CLCompileContext &ctx, const std::string &kernel_name, const std::set<std::string> &build_opts = std::set<std::string>());
+cl::Kernel create_kernel(const CLCompileContext &ctx,
+ const std::string &kernel_name,
+ const std::set<std::string> &build_opts = std::set<std::string>());
/** Creates a suitable LWS hint object for parallel implementations. Sets the number of WG based on the input size.
* If input width is smaller than 128 we can use fewer threads than 8.
diff --git a/arm_compute/core/CL/CLTypes.h b/arm_compute/core/CL/CLTypes.h
index 00b7cda2e1..0f088e2b10 100644
--- a/arm_compute/core/CL/CLTypes.h
+++ b/arm_compute/core/CL/CLTypes.h
@@ -63,15 +63,13 @@ struct CLDeviceOptions
struct CLQuantization
{
/** Default Constructor */
- CLQuantization()
- : scale(nullptr), offset(nullptr) {};
+ CLQuantization() : scale(nullptr), offset(nullptr){};
/** Constructor
*
* @param[in] scale OpenCL scale array
* @param[in] offset OpenCL offset array
*/
- CLQuantization(const ICLFloatArray *scale, const ICLInt32Array *offset)
- : scale(scale), offset(offset) {};
+ CLQuantization(const ICLFloatArray *scale, const ICLInt32Array *offset) : scale(scale), offset(offset){};
const ICLFloatArray *scale; /**< Quantization scale array */
const ICLInt32Array *offset; /**< Quantization offset array */
diff --git a/arm_compute/core/CL/ICLArray.h b/arm_compute/core/CL/ICLArray.h
index 57f842b6f9..a2b2baa5b3 100644
--- a/arm_compute/core/CL/ICLArray.h
+++ b/arm_compute/core/CL/ICLArray.h
@@ -40,8 +40,7 @@ public:
* @param[in] max_num_values Maximum size of the array.
*
*/
- explicit ICLArray(size_t max_num_values)
- : IArray<T>(max_num_values), _mapping(nullptr)
+ explicit ICLArray(size_t max_num_values) : IArray<T>(max_num_values), _mapping(nullptr)
{
}
@@ -125,5 +124,5 @@ using ICLInt16Array = ICLArray<cl_short>;
using ICLInt32Array = ICLArray<cl_int>;
/** Interface for OpenCL Array of floats. */
using ICLFloatArray = ICLArray<cl_float>;
-}
+} // namespace arm_compute
#endif /*ARM_COMPUTE_ICLARRAY_H*/
diff --git a/arm_compute/core/CL/ICLTensor.h b/arm_compute/core/CL/ICLTensor.h
index 78d3757e59..8de5423762 100644
--- a/arm_compute/core/CL/ICLTensor.h
+++ b/arm_compute/core/CL/ICLTensor.h
@@ -24,9 +24,8 @@
#ifndef ARM_COMPUTE_ICLTENSOR_H
#define ARM_COMPUTE_ICLTENSOR_H
-#include "arm_compute/core/ITensor.h"
-
#include "arm_compute/core/CL/CLTypes.h"
+#include "arm_compute/core/ITensor.h"
#include <cstdint>
@@ -34,7 +33,7 @@ namespace cl
{
class Buffer;
class CommandQueue;
-}
+} // namespace cl
namespace arm_compute
{
@@ -113,5 +112,5 @@ private:
};
using ICLImage = ICLTensor;
-}
+} // namespace arm_compute
#endif /*ARM_COMPUTE_ICLTENSOR_H */
diff --git a/arm_compute/core/CL/OpenCL.h b/arm_compute/core/CL/OpenCL.h
index f86d55a9ea..a5c4e39df2 100644
--- a/arm_compute/core/CL/OpenCL.h
+++ b/arm_compute/core/CL/OpenCL.h
@@ -31,8 +31,8 @@
#ifndef ARM_COMPUTE_NO_EXCEPTIONS
#define CL_HPP_ENABLE_EXCEPTIONS
#endif // ARM_COMPUTE_NO_EXCEPTIONS
-#define CL_TARGET_OPENCL_VERSION 300
-#define CL_HPP_TARGET_OPENCL_VERSION 110
+#define CL_TARGET_OPENCL_VERSION 300
+#define CL_HPP_TARGET_OPENCL_VERSION 110
#define CL_HPP_MINIMUM_OPENCL_VERSION 110
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Weffc++"
@@ -40,7 +40,7 @@
#pragma GCC diagnostic ignored "-Wunused-parameter"
#if defined(__GNUG__) && __GNUG__ >= 8
#pragma GCC diagnostic ignored "-Wcatch-value"
-#endif // defined(__GNUG__) && __GNUG__ >= 8
+#endif // defined(__GNUG__) && __GNUG__ >= 8
#include <CL/opencl.hpp> // include new hpp header instead of cl2.hpp
#pragma GCC diagnostic pop
@@ -88,8 +88,7 @@ public:
*/
bool load_default();
-#define DECLARE_FUNCTION_PTR(func_name) \
- std::function<decltype(func_name)> func_name##_ptr = nullptr
+#define DECLARE_FUNCTION_PTR(func_name) std::function<decltype(func_name)> func_name##_ptr = nullptr
DECLARE_FUNCTION_PTR(clCreateContext);
DECLARE_FUNCTION_PTR(clCreateContextFromType);