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-rw-r--r--src/core/CL/CLUtils.cpp35
1 files changed, 20 insertions, 15 deletions
diff --git a/src/core/CL/CLUtils.cpp b/src/core/CL/CLUtils.cpp
index 289300b3a1..290ed32648 100644
--- a/src/core/CL/CLUtils.cpp
+++ b/src/core/CL/CLUtils.cpp
@@ -26,9 +26,10 @@
#include "arm_compute/core/CL/CLCompileContext.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/ActivationFunctionUtils.h"
#include "arm_compute/core/utils/StringUtils.h"
+#include "arm_compute/core/Validate.h"
+
#include "support/StringSupport.h"
namespace arm_compute
@@ -38,15 +39,15 @@ cl::Image2D create_image2d_from_tensor(const ICLTensor *tensor, CLImage2DType im
ARM_COMPUTE_ERROR_ON_NULLPTR(tensor);
const cl::Context &ctx = CLKernelLibrary::get().context();
- const cl::Buffer &buffer = tensor->cl_buffer();
+ const cl::Buffer &buffer = tensor->cl_buffer();
const ITensorInfo *info = tensor->info();
- ARM_COMPUTE_ERROR_ON_MSG(info->lock_paddings(),
- "Tensor paddings must not be locked to allow extending paddings to satisfy cl_image pitch alignment requirement");
+ ARM_COMPUTE_ERROR_ON_MSG(info->lock_paddings(), "Tensor paddings must not be locked to allow extending paddings to "
+ "satisfy cl_image pitch alignment requirement");
- const size_t image_w{ info->dimension(0) / 4 };
- const size_t image_h{ info->tensor_shape().total_size() / info->dimension(0) };
- const size_t max_image_w{ CLKernelLibrary::get().get_device().getInfo<CL_DEVICE_IMAGE2D_MAX_WIDTH>() };
- const size_t max_image_h{ CLKernelLibrary::get().get_device().getInfo<CL_DEVICE_IMAGE2D_MAX_HEIGHT>() };
+ const size_t image_w{info->dimension(0) / 4};
+ const size_t image_h{info->tensor_shape().total_size() / info->dimension(0)};
+ const size_t max_image_w{CLKernelLibrary::get().get_device().getInfo<CL_DEVICE_IMAGE2D_MAX_WIDTH>()};
+ const size_t max_image_h{CLKernelLibrary::get().get_device().getInfo<CL_DEVICE_IMAGE2D_MAX_HEIGHT>()};
ARM_COMPUTE_UNUSED(max_image_w, max_image_h);
ARM_COMPUTE_ERROR_ON_MSG(image_w > max_image_w, "Image width exceeds maximum width for exporting to cl_image");
@@ -58,18 +59,22 @@ cl::Image2D create_image2d_from_tensor(const ICLTensor *tensor, CLImage2DType im
return create_image2d_from_buffer(ctx, buffer, shape2d, info->data_type(), image_row_pitch, image_type);
}
-cl::Image2D create_image2d_from_buffer(const cl::Context &ctx, const cl::Buffer &buffer, const TensorShape &shape2d, DataType data_type, size_t image_row_pitch, CLImage2DType image_type)
+cl::Image2D create_image2d_from_buffer(const cl::Context &ctx,
+ const cl::Buffer &buffer,
+ const TensorShape &shape2d,
+ DataType data_type,
+ size_t image_row_pitch,
+ CLImage2DType image_type)
{
ARM_COMPUTE_ERROR_ON_MSG(!image2d_from_buffer_supported(CLKernelLibrary::get().get_device()),
"The extension cl_khr_image2d_from_buffer is not supported on the target platform");
ARM_COMPUTE_ERROR_ON_MSG(get_cl_image_pitch_alignment(CLKernelLibrary::get().get_device()) == 0,
"Impossible to retrieve the cl_image pitch alignment");
- ARM_COMPUTE_ERROR_ON_MSG(buffer.get() == nullptr,
- "Cannot create cl_image from empty cl_buffer");
+ ARM_COMPUTE_ERROR_ON_MSG(buffer.get() == nullptr, "Cannot create cl_image from empty cl_buffer");
cl_channel_type cl_data_type;
- switch(data_type)
+ switch (data_type)
{
case DataType::F32:
cl_data_type = CL_FLOAT;
@@ -84,7 +89,7 @@ cl::Image2D create_image2d_from_buffer(const cl::Context &ctx, const cl::Buffer
cl_mem cl_image;
cl_int err = CL_SUCCESS;
- const cl_image_format format = { CL_RGBA, cl_data_type };
+ const cl_image_format format = {CL_RGBA, cl_data_type};
cl_image_desc desc;
memset(&desc, 0, sizeof(desc));
@@ -94,7 +99,7 @@ cl::Image2D create_image2d_from_buffer(const cl::Context &ctx, const cl::Buffer
desc.image_width = shape2d[0];
desc.image_height = shape2d[1];
- switch(image_type)
+ switch (image_type)
{
case CLImage2DType::ReadOnly:
cl_image = clCreateImage(ctx(), CL_MEM_READ_ONLY, &format, &desc, nullptr, &err);
@@ -114,7 +119,7 @@ cl::Image2D create_image2d_from_buffer(const cl::Context &ctx, const cl::Buffer
void handle_cl_error(const std::string &function_name, cl_int error_code)
{
- if(error_code != CL_SUCCESS)
+ if (error_code != CL_SUCCESS)
{
std::string error_message = function_name + " - Error code: " + std::to_string(error_code);
ARM_COMPUTE_ERROR(error_message.c_str());