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path: root/src/runtime/CL/functions/CLDepthConcatenateLayer.cpp
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Diffstat (limited to 'src/runtime/CL/functions/CLDepthConcatenateLayer.cpp')
-rw-r--r--src/runtime/CL/functions/CLDepthConcatenateLayer.cpp35
1 files changed, 31 insertions, 4 deletions
diff --git a/src/runtime/CL/functions/CLDepthConcatenateLayer.cpp b/src/runtime/CL/functions/CLDepthConcatenateLayer.cpp
index 0b26f55a29..174be94410 100644
--- a/src/runtime/CL/functions/CLDepthConcatenateLayer.cpp
+++ b/src/runtime/CL/functions/CLDepthConcatenateLayer.cpp
@@ -27,7 +27,9 @@
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/PixelValue.h"
+#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
#include "support/ToolchainSupport.h"
@@ -43,20 +45,24 @@ CLDepthConcatenateLayer::CLDepthConcatenateLayer() // NOLINT
void CLDepthConcatenateLayer::configure(std::vector<ICLTensor *> inputs_vector, ICLTensor *output) // NOLINT
{
- ARM_COMPUTE_ERROR_ON(inputs_vector.size() < 2);
-
_num_inputs = inputs_vector.size();
- unsigned int depth_offset = 0;
+ std::vector<ITensorInfo *> inputs_vector_info;
+ for(unsigned int i = 0; i < _num_inputs; i++)
+ {
+ inputs_vector_info.emplace_back(inputs_vector.at(i)->info());
+ }
_concat_kernels_vector = arm_compute::support::cpp14::make_unique<CLDepthConcatenateLayerKernel[]>(_num_inputs);
_border_handlers_vector = arm_compute::support::cpp14::make_unique<CLFillBorderKernel[]>(_num_inputs);
- TensorShape output_shape = calculate_depth_concatenate_shape(inputs_vector);
+ TensorShape output_shape = arm_compute::misc::shape_calculator::calculate_depth_concatenate_shape(inputs_vector_info);
// Output auto inizialitation if not yet initialized
auto_init_if_empty(*output->info(), output_shape, 1, inputs_vector[0]->info()->data_type());
+ ARM_COMPUTE_ERROR_THROW_ON(CLDepthConcatenateLayer::validate(inputs_vector_info, output->info()));
+ unsigned int depth_offset = 0;
for(unsigned int i = 0; i < _num_inputs; i++)
{
_concat_kernels_vector[i].configure(inputs_vector.at(i), depth_offset, output);
@@ -69,6 +75,27 @@ void CLDepthConcatenateLayer::configure(std::vector<ICLTensor *> inputs_vector,
output->info()->set_valid_region(ValidRegion(Coordinates(), output_shape));
}
+Status CLDepthConcatenateLayer::validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
+ ARM_COMPUTE_RETURN_ERROR_ON(inputs_vector.size() < 2);
+
+ // Output auto inizialitation if not yet initialized
+ TensorInfo tmp_output_info = *output->clone();
+ TensorShape output_shape = arm_compute::misc::shape_calculator::calculate_depth_concatenate_shape(inputs_vector);
+ auto_init_if_empty(tmp_output_info, output_shape, 1, inputs_vector[0]->data_type());
+
+ unsigned int depth_offset = 0;
+ for(const auto &input : inputs_vector)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input);
+ ARM_COMPUTE_RETURN_ON_ERROR(CLDepthConcatenateLayerKernel::validate(input, depth_offset, &tmp_output_info));
+ depth_offset += input->dimension(2);
+ }
+
+ return Status{};
+}
+
void CLDepthConcatenateLayer::run()
{
cl::CommandQueue q = CLScheduler::get().queue();