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Diffstat (limited to 'src/core/NEON/kernels/NEDequantizationLayerKernel.cpp')
-rw-r--r--src/core/NEON/kernels/NEDequantizationLayerKernel.cpp73
1 files changed, 53 insertions, 20 deletions
diff --git a/src/core/NEON/kernels/NEDequantizationLayerKernel.cpp b/src/core/NEON/kernels/NEDequantizationLayerKernel.cpp
index be211b2cb2..4120e5f87a 100644
--- a/src/core/NEON/kernels/NEDequantizationLayerKernel.cpp
+++ b/src/core/NEON/kernels/NEDequantizationLayerKernel.cpp
@@ -34,6 +34,46 @@
using namespace arm_compute;
+namespace
+{
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *min_max)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output, min_max);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
+ ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() < 3);
+
+ if(output->tensor_shape().total_size() > 0)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
+ }
+
+ return Status{};
+}
+
+std::tuple<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, ITensorInfo *min_max)
+{
+ // Output tensor auto initialization if not yet initialized
+ auto_init_if_empty(*output, input->tensor_shape(), 1, DataType::F32, 0);
+
+ constexpr unsigned int num_elems_processed_per_iteration = 8;
+
+ // Configure window
+ Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration));
+ AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration);
+ AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
+ AccessWindowStatic min_max_access(min_max, 0, 0, 2, min_max->dimension(1));
+
+ // Update window and padding
+ bool window_changed = update_window_and_padding(win, input_access, output_access, min_max_access);
+
+ output_access.set_valid_region(win, input->valid_region());
+
+ Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
+ return std::make_tuple(err, win);
+}
+} // namespace
+
NEDequantizationLayerKernel::NEDequantizationLayerKernel()
: _input(nullptr), _output(nullptr), _min_max(nullptr)
{
@@ -41,34 +81,27 @@ NEDequantizationLayerKernel::NEDequantizationLayerKernel()
void NEDequantizationLayerKernel::configure(const ITensor *input, ITensor *output, const ITensor *min_max)
{
- ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
- ARM_COMPUTE_ERROR_ON_NULLPTR(output);
- ARM_COMPUTE_ERROR_ON_NULLPTR(min_max);
- ARM_COMPUTE_ERROR_ON(input->info()->num_dimensions() < 3);
-
- // Output tensor auto initialization if not yet initialized
- auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, DataType::F32, 0);
-
- ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F32);
- ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output);
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, min_max);
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), min_max->info()));
_input = input;
_output = output;
_min_max = min_max;
- constexpr unsigned int num_elems_processed_per_iteration = 8;
+ // Configure kernel window
+ auto win_config = validate_and_configure_window(input->info(), output->info(), min_max->info());
- // Configure window
- Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
- AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration);
- AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
- AccessWindowStatic min_max_access(min_max->info(), 0, 0, 2, min_max->info()->dimension(1));
+ ARM_COMPUTE_ERROR_THROW_ON(std::get<0>(win_config));
- // Update window and padding
- update_window_and_padding(win, input_access, output_access, min_max_access);
- output_access.set_valid_region(win, input->info()->valid_region());
+ INEKernel::configure(std::get<1>(win_config));
+}
+
+Status NEDequantizationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *min_max)
+{
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, min_max));
+ ARM_COMPUTE_RETURN_ON_ERROR(std::get<0>(validate_and_configure_window(input->clone().get(), output->clone().get(), min_max->clone().get())));
- INEKernel::configure(win);
+ return Status{};
}
void NEDequantizationLayerKernel::run(const Window &window, const ThreadInfo &info)