aboutsummaryrefslogtreecommitdiff
path: root/src/runtime/CL/functions/CLReductionOperation.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/runtime/CL/functions/CLReductionOperation.cpp')
-rw-r--r--src/runtime/CL/functions/CLReductionOperation.cpp64
1 files changed, 44 insertions, 20 deletions
diff --git a/src/runtime/CL/functions/CLReductionOperation.cpp b/src/runtime/CL/functions/CLReductionOperation.cpp
index 61859f8de8..ba5489018e 100644
--- a/src/runtime/CL/functions/CLReductionOperation.cpp
+++ b/src/runtime/CL/functions/CLReductionOperation.cpp
@@ -27,9 +27,11 @@
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/PixelValue.h"
#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
+
+#include "src/common/utils/Log.h"
#include "src/core/CL/kernels/CLReductionOperationKernel.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/runtime/Utils.h"
@@ -37,23 +39,31 @@
namespace arm_compute
{
CLReductionOperation::CLReductionOperation(std::shared_ptr<IMemoryManager> memory_manager)
- : _memory_group(std::move(memory_manager)), _unreshaped_output(), _reduction_kernel(), _reshape(), _reduction_axis(), _is_reshape_required(false)
+ : _memory_group(std::move(memory_manager)),
+ _unreshaped_output(),
+ _reduction_kernel(),
+ _reshape(),
+ _reduction_axis(),
+ _is_reshape_required(false)
{
}
CLReductionOperation::~CLReductionOperation() = default;
-Status CLReductionOperation::validate(const ITensorInfo *input, const ITensorInfo *output, unsigned int axis, ReductionOperation op, bool keep_dims)
+Status CLReductionOperation::validate(
+ const ITensorInfo *input, const ITensorInfo *output, unsigned int axis, ReductionOperation op, bool keep_dims)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(axis >= TensorShape::num_max_dimensions, "Reduction axis greater than max number of dimensions");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(axis >= TensorShape::num_max_dimensions,
+ "Reduction axis greater than max number of dimensions");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(axis > 3, "Unsupported reduction axis");
const bool is_reshape_required = !keep_dims;
- if(is_reshape_required && output->total_size() != 0)
+ if (is_reshape_required && output->total_size() != 0)
{
- const TensorInfo expected_output_shape = output->clone()->set_tensor_shape(arm_compute::misc::shape_calculator::compute_reduced_shape(input->tensor_shape(), axis, keep_dims));
+ const TensorInfo expected_output_shape = output->clone()->set_tensor_shape(
+ arm_compute::misc::shape_calculator::compute_reduced_shape(input->tensor_shape(), axis, keep_dims));
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(&expected_output_shape, output);
}
@@ -65,22 +75,23 @@ Status CLReductionOperation::validate(const ITensorInfo *input, const ITensorInf
const auto input_qinfo = input->quantization_info();
const auto output_data_type = output->data_type();
- auto initialize_tensorinfo = [](TensorInfo & ti, TensorShape shape, DataType data_type, int num_channels, QuantizationInfo qinfo)
- {
+ auto initialize_tensorinfo = [](TensorInfo &ti, TensorShape shape, DataType data_type, int num_channels,
+ QuantizationInfo qinfo) {
ti.set_data_type(data_type).set_tensor_shape(shape).set_num_channels(num_channels).set_quantization_info(qinfo);
};
- if(is_reshape_required)
+ if (is_reshape_required)
{
auto shape_before_reshape = input_shape;
shape_before_reshape.set(axis, 1);
- initialize_tensorinfo(output_before_reshape, shape_before_reshape, output_data_type, input_num_channles, input_qinfo);
+ initialize_tensorinfo(output_before_reshape, shape_before_reshape, output_data_type, input_num_channles,
+ input_qinfo);
output_internal = &output_before_reshape;
}
ARM_COMPUTE_RETURN_ON_ERROR(CLReductionOperationKernel::validate(input, output_internal, axis, op));
- if(is_reshape_required)
+ if (is_reshape_required)
{
ARM_COMPUTE_RETURN_ON_ERROR(CLReshapeLayer::validate(output_internal, output));
}
@@ -90,7 +101,7 @@ Status CLReductionOperation::validate(const ITensorInfo *input, const ITensorInf
ICLTensor *CLReductionOperation::configure_intermediate_result_vector(ICLTensor *input, ICLTensor *output)
{
- if(!_is_reshape_required)
+ if (!_is_reshape_required)
{
return output;
}
@@ -101,24 +112,37 @@ ICLTensor *CLReductionOperation::configure_intermediate_result_vector(ICLTensor
return &_unreshaped_output;
}
-void CLReductionOperation::configure(ICLTensor *input, ICLTensor *output, unsigned int axis, ReductionOperation op, bool keep_dims)
+void CLReductionOperation::configure(
+ ICLTensor *input, ICLTensor *output, unsigned int axis, ReductionOperation op, bool keep_dims)
{
configure(CLKernelLibrary::get().get_compile_context(), input, output, axis, op, keep_dims);
}
-void CLReductionOperation::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, unsigned int axis, ReductionOperation op, bool keep_dims)
+void CLReductionOperation::configure(const CLCompileContext &compile_context,
+ ICLTensor *input,
+ ICLTensor *output,
+ unsigned int axis,
+ ReductionOperation op,
+ bool keep_dims)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_LOG_PARAMS(input, output, axis, op, keep_dims);
_reduction_axis = axis;
_is_reshape_required = !keep_dims;
auto *output_internal = configure_intermediate_result_vector(input, output);
- if(_is_reshape_required)
+ if (_is_reshape_required)
{
- const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(input->info()->tensor_shape(), axis, false);
- const auto output_data_type = input->info()->data_type();
- auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape).set_data_type(output_data_type).reset_padding().set_is_resizable(true));
+ const TensorShape output_shape =
+ arm_compute::misc::shape_calculator::compute_reduced_shape(input->info()->tensor_shape(), axis, false);
+ const auto output_data_type = input->info()->data_type();
+ auto_init_if_empty(*output->info(), input->info()
+ ->clone()
+ ->set_tensor_shape(output_shape)
+ .set_data_type(output_data_type)
+ .reset_padding()
+ .set_is_resizable(true));
_memory_group.manage(&_unreshaped_output);
}
@@ -126,7 +150,7 @@ void CLReductionOperation::configure(const CLCompileContext &compile_context, IC
_reduction_kernel = std::make_unique<CLReductionOperationKernel>();
_reduction_kernel->configure(compile_context, input, output_internal, axis, op);
- if(_is_reshape_required)
+ if (_is_reshape_required)
{
_reshape.configure(compile_context, &_unreshaped_output, output);
_unreshaped_output.allocator()->allocate();
@@ -139,7 +163,7 @@ void CLReductionOperation::run()
CLScheduler::get().enqueue(*_reduction_kernel, false);
- if(_is_reshape_required)
+ if (_is_reshape_required)
{
_reshape.run();
}
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-04 04:45:18 +0000