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-rw-r--r--src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp68
1 files changed, 29 insertions, 39 deletions
diff --git a/src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp b/src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp
index c87290d04c..88b69c7cce 100644
--- a/src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp
+++ b/src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp
@@ -28,11 +28,10 @@
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/CLValidate.h"
#include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/IAccessWindow.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Window.h"
#include "arm_compute/core/utils/helpers/tensor_info.h"
+#include "arm_compute/core/utils/misc/Cast.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "support/StringSupport.h"
@@ -79,11 +78,6 @@ Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2,
}
} // namespace
-CLWidthConcatenate2TensorsKernel::CLWidthConcatenate2TensorsKernel()
- : _input1(nullptr), _input2(nullptr), _output(nullptr)
-{
-}
-
Status CLWidthConcatenate2TensorsKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input1, input2, output));
@@ -91,35 +85,26 @@ Status CLWidthConcatenate2TensorsKernel::validate(const ITensorInfo *input1, con
return Status{};
}
-void CLWidthConcatenate2TensorsKernel::configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output)
-{
- configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output);
-}
-
-void CLWidthConcatenate2TensorsKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output)
+void CLWidthConcatenate2TensorsKernel::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output);
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input1->info(), input2->info(), output->info()));
-
- _input1 = input1;
- _input2 = input2;
- _output = output;
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input1, input2, output));
// Add build options
CLBuildOptions build_opts;
- build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input1->info()->data_type()));
+ build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input1->data_type()));
build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
- build_opts.add_option("-DDEPTH=" + support::cpp11::to_string(input1->info()->dimension(2)));
- build_opts.add_option("-DINPUT1_WIDTH=" + support::cpp11::to_string(input1->info()->dimension(0)));
- build_opts.add_option("-DELEMENT_SIZE=" + support::cpp11::to_string(input1->info()->element_size()));
+ build_opts.add_option("-DDEPTH=" + support::cpp11::to_string(input1->dimension(2)));
+ build_opts.add_option("-DINPUT1_WIDTH=" + support::cpp11::to_string(input1->dimension(0)));
+ build_opts.add_option("-DELEMENT_SIZE=" + support::cpp11::to_string(input1->element_size()));
// If input have different quantization info set quantization parameters needed for the re-quantization process
- const bool have_different_qinfo = helpers::tensor_info::tensors_have_different_quantization_info(output->info(), input1->info(), input2->info());
- if(is_data_type_quantized_asymmetric(input1->info()->data_type()) && have_different_qinfo)
+ const bool have_different_qinfo = helpers::tensor_info::tensors_have_different_quantization_info(output, input1, input2);
+ if(is_data_type_quantized_asymmetric(input1->data_type()) && have_different_qinfo)
{
- const UniformQuantizationInfo iq1_info = input1->info()->quantization_info().uniform();
- const UniformQuantizationInfo iq2_info = input2->info()->quantization_info().uniform();
- const UniformQuantizationInfo oq_info = output->info()->quantization_info().uniform();
+ const UniformQuantizationInfo iq1_info = input1->quantization_info().uniform();
+ const UniformQuantizationInfo iq2_info = input2->quantization_info().uniform();
+ const UniformQuantizationInfo oq_info = output->quantization_info().uniform();
build_opts.add_option("-DOFFSET_IN1=" + float_to_string_with_full_precision(iq1_info.offset));
build_opts.add_option("-DSCALE_IN1=" + float_to_string_with_full_precision(iq1_info.scale));
@@ -133,16 +118,16 @@ void CLWidthConcatenate2TensorsKernel::configure(const CLCompileContext &compile
_kernel = create_kernel(compile_context, "concatenate_width_x2", build_opts.options());
// Configure kernel window
- auto win_config = validate_and_configure_window(input1->info(), input2->info(), output->info());
+ auto win_config = validate_and_configure_window(input1, input2, output);
ARM_COMPUTE_ERROR_THROW_ON(std::get<0>(win_config));
ICLKernel::configure_internal(std::get<1>(win_config));
// Set output valid region
- output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape()));
+ output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape()));
// Pass paddings as arguments to the kernel
- const unsigned int input1_width = input1->info()->dimension(0);
+ const unsigned int input1_width = input1->dimension(0);
const unsigned int input1_right_padding = ceil_to_multiple(input1_width, num_elems_processed_per_iteration) - input1_width;
const unsigned int input2_left_padding = input1_width % num_elems_processed_per_iteration;
unsigned int idx0 = 3 * num_arguments_per_4D_tensor();
@@ -151,30 +136,35 @@ void CLWidthConcatenate2TensorsKernel::configure(const CLCompileContext &compile
// Set config_id for enabling LWS tuning
_config_id = "concatenate_width_x2_";
- _config_id += lower_string(string_from_data_type(input1->info()->data_type()));
+ _config_id += lower_string(string_from_data_type(input1->data_type()));
_config_id += "_";
- _config_id += support::cpp11::to_string(input1->info()->dimension(0));
+ _config_id += support::cpp11::to_string(input1->dimension(0));
_config_id += "_";
- _config_id += support::cpp11::to_string(input1->info()->dimension(1));
+ _config_id += support::cpp11::to_string(input1->dimension(1));
_config_id += "_";
- _config_id += support::cpp11::to_string(input2->info()->dimension(0));
+ _config_id += support::cpp11::to_string(input2->dimension(0));
_config_id += "_";
- _config_id += support::cpp11::to_string(input2->info()->dimension(1));
+ _config_id += support::cpp11::to_string(input2->dimension(1));
}
-void CLWidthConcatenate2TensorsKernel::run(const Window &window, cl::CommandQueue &queue)
+void CLWidthConcatenate2TensorsKernel::run_op(const InputTensorMap &inputs, const OutputTensorMap &outputs,
+ const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
Window slice = window.first_slice_window_4D();
+ const auto src0 = utils::cast::polymorphic_downcast<const ICLTensor *>(inputs.at(TensorType::ACL_SRC_VEC));
+ const auto src1 = utils::cast::polymorphic_downcast<const ICLTensor *>(inputs.at(TensorType::ACL_SRC_VEC + 1));
+ auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(outputs.at(TensorType::ACL_DST));
+
do
{
unsigned int idx = 0;
- add_4D_tensor_argument(idx, _input1, slice);
- add_4D_tensor_argument(idx, _input2, slice);
- add_4D_tensor_argument(idx, _output, slice);
+ add_4D_tensor_argument(idx, src0, slice);
+ add_4D_tensor_argument(idx, src1, slice);
+ add_4D_tensor_argument(idx, dst, slice);
enqueue(queue, *this, window, lws_hint());
}
while(window.slide_window_slice_4D(slice));
generated by cgit v1.2.1 (git 2.23.0) at 2024-04-29 14:00:44 +0000