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Diffstat (limited to 'src/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleByFloatKernel.cpp')
-rw-r--r--src/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleByFloatKernel.cpp56
1 files changed, 36 insertions, 20 deletions
diff --git a/src/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleByFloatKernel.cpp b/src/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleByFloatKernel.cpp
index f379698326..52ebd32d46 100644
--- a/src/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleByFloatKernel.cpp
+++ b/src/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleByFloatKernel.cpp
@@ -27,15 +27,14 @@
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/helpers/AdjustVecSize.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/core/utils/quantization/AsymmHelpers.h"
#include "arm_compute/core/utils/StringUtils.h"
+#include "arm_compute/core/Validate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
-
#include "support/Cast.h"
#include "support/StringSupport.h"
@@ -47,23 +46,31 @@ namespace kernels
{
namespace
{
-Status validate_arguments(const ITensorInfo *src, const ITensorInfo *bias, const ITensorInfo *dst, const GEMMLowpOutputStageInfo *info)
+Status validate_arguments(const ITensorInfo *src,
+ const ITensorInfo *bias,
+ const ITensorInfo *dst,
+ const GEMMLowpOutputStageInfo *info)
{
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::S32);
- ARM_COMPUTE_RETURN_ERROR_ON((info->output_data_type != DataType::QASYMM8) && (info->output_data_type != DataType::QASYMM8_SIGNED));
- ARM_COMPUTE_RETURN_ERROR_ON(info->gemmlowp_max_bound > std::get<1>(quantization::get_min_max_values_from_quantized_data_type(info->output_data_type)));
- ARM_COMPUTE_RETURN_ERROR_ON(info->gemmlowp_min_bound < std::get<0>(quantization::get_min_max_values_from_quantized_data_type(info->output_data_type))
- || info->gemmlowp_min_bound > info->gemmlowp_max_bound);
+ ARM_COMPUTE_RETURN_ERROR_ON((info->output_data_type != DataType::QASYMM8) &&
+ (info->output_data_type != DataType::QASYMM8_SIGNED));
+ ARM_COMPUTE_RETURN_ERROR_ON(
+ info->gemmlowp_max_bound >
+ std::get<1>(quantization::get_min_max_values_from_quantized_data_type(info->output_data_type)));
+ ARM_COMPUTE_RETURN_ERROR_ON(
+ info->gemmlowp_min_bound <
+ std::get<0>(quantization::get_min_max_values_from_quantized_data_type(info->output_data_type)) ||
+ info->gemmlowp_min_bound > info->gemmlowp_max_bound);
// Check biases if exist
- if(bias != nullptr)
+ if (bias != nullptr)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, bias);
ARM_COMPUTE_RETURN_ERROR_ON(bias->num_dimensions() > 1);
ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(0) != bias->dimension(0));
}
- if(dst->total_size() != 0)
+ if (dst->total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MSG(dst->data_type() != info->output_data_type, "Mismatching output data type");
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst);
@@ -78,7 +85,9 @@ ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::ClGemmLowpQuantizeDownInt32ScaleB
_type = CLKernelType::ELEMENTWISE;
}
-Status ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::validate(const ITensorInfo *src, const ITensorInfo *bias, const ITensorInfo *dst,
+Status ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::validate(const ITensorInfo *src,
+ const ITensorInfo *bias,
+ const ITensorInfo *dst,
const GEMMLowpOutputStageInfo *info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
@@ -87,14 +96,17 @@ Status ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::validate(const ITensorInfo
return Status{};
}
-void ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *src, const ITensorInfo *bias, ITensorInfo *dst,
+void ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::configure(const CLCompileContext &compile_context,
+ const ITensorInfo *src,
+ const ITensorInfo *bias,
+ ITensorInfo *dst,
const GEMMLowpOutputStageInfo *info)
{
// Perform validate step
ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, bias, dst, info));
- auto padding_info = get_padding_info({ src, bias, dst });
+ auto padding_info = get_padding_info({src, bias, dst});
// Output auto inizialitation if not yet initialized
auto_init_if_empty(*dst, src->clone()->set_data_type(info->output_data_type));
@@ -107,7 +119,8 @@ void ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::configure(const CLCompileCon
// Set the arguments to pass at compile time
CLBuildOptions build_opts;
build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
- build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(src->dimension(0) % num_elems_processed_per_iteration));
+ build_opts.add_option("-DVEC_SIZE_LEFTOVER=" +
+ support::cpp11::to_string(src->dimension(0) % num_elems_processed_per_iteration));
build_opts.add_option("-DREAL_MULTIPLIER=" + float_to_string_with_full_precision(info->gemmlowp_real_multiplier));
build_opts.add_option("-DOUTPUT_OFFSET=" + support::cpp11::to_string(info->gemmlowp_offset));
build_opts.add_option("-DOUTPUT_DATA_TYPE=" + get_cl_type_from_data_type(dst->data_type()));
@@ -130,14 +143,18 @@ void ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::configure(const CLCompileCon
ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
}
-void ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue)
+void ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::run_op(ITensorPack &tensors,
+ const Window &window,
+ cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
- const auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
- const auto bias = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_BIAS));
- auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
+ const auto src =
+ utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
+ const auto bias =
+ utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_BIAS));
+ auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
// Create input window
Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
@@ -145,7 +162,7 @@ void ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::run_op(ITensorPack &tensors,
// Setup bias slice
unsigned int idx1 = num_arguments_per_3D_tensor();
- if(bias != nullptr)
+ if (bias != nullptr)
{
Window biases_slice(slice);
biases_slice.set(Window::DimY, Window::Dimension(0, 1, 1));
@@ -159,8 +176,7 @@ void ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::run_op(ITensorPack &tensors,
add_3D_tensor_argument(idx, src, slice);
add_3D_tensor_argument(idx1, dst, slice);
enqueue(queue, *this, slice, lws_hint());
- }
- while(collapsed.slide_window_slice_3D(slice));
+ } while (collapsed.slide_window_slice_3D(slice));
}
} // namespace kernels
} // namespace opencl
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-20 02:17:57 +0000