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-rw-r--r--src/core/CL/kernels/CLCopyKernel.cpp171
1 files changed, 33 insertions, 138 deletions
diff --git a/src/core/CL/kernels/CLCopyKernel.cpp b/src/core/CL/kernels/CLCopyKernel.cpp
index 769f15de0f..184b80caa8 100644
--- a/src/core/CL/kernels/CLCopyKernel.cpp
+++ b/src/core/CL/kernels/CLCopyKernel.cpp
@@ -26,11 +26,7 @@
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "src/core/AccessWindowStatic.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "support/StringSupport.h"
@@ -39,100 +35,28 @@ namespace arm_compute
{
namespace
{
-Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding = PaddingList(), Window *output_window = nullptr)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, Window *output_window = nullptr)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
- ARM_COMPUTE_ERROR_ON(!padding.empty() && output_window != nullptr);
- ARM_COMPUTE_RETURN_ERROR_ON(padding.size() > 4);
// Validate output if initialized
if(output->total_size() != 0)
{
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
if(output_window == nullptr)
{
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(misc::shape_calculator::compute_padded_shape(input->tensor_shape(), padding), output->tensor_shape());
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(input->tensor_shape(), output->tensor_shape());
}
else
{
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(input->tensor_shape(), output_window->shape());
}
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
}
return Status{};
}
-std::pair<Status, Window> configure_window(ITensorInfo *input, ITensorInfo *output)
-{
- // Output auto inizialitation if not yet initialized
- auto_init_if_empty(*output, *input);
-
- // Configure window
- const unsigned int vec_size_x = adjust_vec_size(16 / input->element_size(), input->dimension(0));
-
- const Window win = calculate_max_window(*input, Steps(vec_size_x));
- return std::make_pair(Status{}, win);
-}
-
-std::pair<Status, Window> validate_and_configure_window_with_padding(ITensorInfo *input, ITensorInfo *output, const PaddingList &padding)
-{
- TensorShape input_shape = input->tensor_shape();
- TensorShape padded_shape = misc::shape_calculator::compute_padded_shape(input_shape, padding);
-
- auto_init_if_empty(*output, input->clone()->set_tensor_shape(padded_shape));
-
- // Configure window
- const unsigned int num_elems_processed_per_iteration = 16 / input->element_size();
-
- Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration));
-
- // Pad on the x dimension accounting for the padding offset along the same dimension
- AccessWindowHorizontal output_access(output, padding[0].first, num_elems_processed_per_iteration);
- AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration);
- bool window_changed = update_window_and_padding(win, input_access, output_access);
-
- Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
- return std::make_pair(err, win);
-}
-
-/** Generate the string "-DPAD= @p dim @p index @p padding"
- *
- * @param[in] dim The dimension index
- * @param[in] index Can be 0 for the start dimension and 1 for the end dimension
- * @param[in] padding The value to pad for that index/dimension pair
- *
- * @return The correct concatenated string
- */
-std::string generate_pad_string(const size_t dim, const size_t index, const size_t padding)
-{
- return "-DPAD" + support::cpp11::to_string(dim) + support::cpp11::to_string(index) + "=" + support::cpp11::to_string(padding);
-}
-
-/** Pass the padding as build option to the kernel.
- *
- * @param[in] tensor The padded tensor
- * @param[in] padding The list of the padding for each dimension
- * @param[out] build_opts The build option to which adding the padding
- */
-void add_padding_as_build_options(const PaddingList &padding, CLBuildOptions &build_opts)
-{
- size_t dim = 0;
- for(dim = 0; dim < padding.size(); dim++)
- {
- build_opts.add_option(generate_pad_string(dim, 0, padding[dim].first));
- build_opts.add_option(generate_pad_string(dim, 1, padding[dim].second));
- }
-
- while(dim < TensorShape::num_max_dimensions)
- {
- build_opts.add_option(generate_pad_string(dim, 0, 0));
- build_opts.add_option(generate_pad_string(dim, 1, 0));
- dim++;
- }
-}
-
} // namespace
CLCopyKernel::CLCopyKernel()
@@ -140,15 +64,15 @@ CLCopyKernel::CLCopyKernel()
{
}
-void CLCopyKernel::configure(const ICLTensor *input, ICLTensor *output, const PaddingList &padding, Window *output_window)
+void CLCopyKernel::configure(const ICLTensor *input, ICLTensor *output, Window *output_window)
{
- configure(CLKernelLibrary::get().get_compile_context(), input, output, padding, output_window);
+ configure(CLKernelLibrary::get().get_compile_context(), input, output, output_window);
}
-void CLCopyKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PaddingList &padding, Window *output_window)
+void CLCopyKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, Window *output_window)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), padding, output_window));
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), output_window));
auto padding_info = get_padding_info({ input, output });
@@ -159,80 +83,51 @@ void CLCopyKernel::configure(const CLCompileContext &compile_context, const ICLT
CLBuildOptions build_opts;
build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
- std::pair<Status, Window> win_config;
-
- const unsigned int vec_size_x = 16 / input->info()->element_size();
+ // Output auto inizialitation if not yet initialized
+ auto_init_if_empty(*(output->info()), *(input->info()));
- if(padding.empty())
- {
- // Configure window
- win_config = configure_window(input->info(), output->info());
+ // Configure window
+ const unsigned int vec_size_x = adjust_vec_size(16 / input->info()->element_size(), input->info()->dimension(0));
- if(output_window != nullptr)
- {
- _has_output_window = true;
- _output_window = Window(*output_window);
- const int width_x = output_window->num_iterations(0);
- const int vec_size_x_leftover = width_x % vec_size_x;
- const bool multi_access_x = width_x >= static_cast<int32_t>(vec_size_x);
+ const Window win_config = calculate_max_window(*(input->info()), Steps(vec_size_x));
- if(multi_access_x)
- {
- _output_window.set(Window::DimX, Window::Dimension(output_window->x().start(), ceil_to_multiple(output_window->x().end(), vec_size_x), vec_size_x));
- }
+ if(output_window != nullptr)
+ {
+ _has_output_window = true;
+ _output_window = Window(*output_window);
+ const int width_x = output_window->num_iterations(0);
+ const int vec_size_x_leftover = width_x % vec_size_x;
+ const bool multi_access_x = width_x >= static_cast<int32_t>(vec_size_x);
- build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(vec_size_x_leftover));
- }
- else
+ if(multi_access_x)
{
- const int width_x = input->info()->tensor_shape().x();
- const int vec_size_x_leftover = width_x % vec_size_x;
-
- build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(vec_size_x_leftover));
+ _output_window.set(Window::DimX, Window::Dimension(output_window->x().start(), ceil_to_multiple(output_window->x().end(), vec_size_x), vec_size_x));
}
- build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
-
- // Build kernel
- _kernel = create_kernel(compile_context, "copy_tensor", build_opts.options());
+ build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(vec_size_x_leftover));
}
else
{
- build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
-
- // Add compile time options
- add_padding_as_build_options(padding, build_opts);
+ const int width_x = input->info()->tensor_shape().x();
+ const int vec_size_x_leftover = width_x % vec_size_x;
- // If we are padding in the fourth dimension the kernel needs to know the depth of the
- // different cubes
- if(padding.size() == 4)
- {
- const size_t depth = input->info()->tensor_shape()[2];
- build_opts.add_option("-DDEPTH=" + support::cpp11::to_string(depth));
- }
+ build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(vec_size_x_leftover));
+ }
- // Build kernel
- _kernel = create_kernel(compile_context, "copy_pad_tensor", build_opts.options());
+ build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
- // Configure window
- win_config = validate_and_configure_window_with_padding(input->info(), output->info(), padding);
- }
+ // Build kernel
+ _kernel = create_kernel(compile_context, "copy_tensor", build_opts.options());
// Validate and set the window
- ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
- ICLKernel::configure_internal(win_config.second);
+ ICLKernel::configure_internal(win_config);
ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
}
-Status CLCopyKernel::validate(const arm_compute::ITensorInfo *input, const arm_compute::ITensorInfo *output, const PaddingList &padding, Window *output_window)
+Status CLCopyKernel::validate(const arm_compute::ITensorInfo *input, const arm_compute::ITensorInfo *output, Window *output_window)
{
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, padding, output_window));
-
- if(!padding.empty())
- {
- ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window_with_padding(input->clone().get(), output->clone().get(), padding).first);
- }
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, output_window));
return Status{};
}