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authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-06-11 17:43:31 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:52:56 +0000
commitc084f0d4d2ee94bedc31b5e04c2936c91cecf883 (patch)
tree5f799196d8fd3ed7864b9dc9edc6c185408d62e5 /src/core/CL/kernels/CLWinogradOutputTransformKernel.cpp
parent14bd2cf5671031062deb7cb9f36b47bded77e294 (diff)
downloadComputeLibrary-c084f0d4d2ee94bedc31b5e04c2936c91cecf883.tar.gz
COMPMID-1269: (Nightly) Fix CL/Winograd/OutputTransform mismatches
Check if the depth is multiple of tile size for NHWC if not write to dummy padding. Change-Id: Ie854dcbc75aa94bd1686f7769a009dd2654fdfed Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/135055 Reviewed-by: Pablo Tello <pablo.tello@arm.com> Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLWinogradOutputTransformKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLWinogradOutputTransformKernel.cpp31
1 files changed, 25 insertions, 6 deletions
diff --git a/src/core/CL/kernels/CLWinogradOutputTransformKernel.cpp b/src/core/CL/kernels/CLWinogradOutputTransformKernel.cpp
index 416d8e8d5f..5377bd33d2 100644
--- a/src/core/CL/kernels/CLWinogradOutputTransformKernel.cpp
+++ b/src/core/CL/kernels/CLWinogradOutputTransformKernel.cpp
@@ -49,6 +49,8 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, con
{
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON(output->data_layout() != winograd_info.output_data_layout);
+
const PadStrideInfo conv_info = winograd_info.convolution_info;
const Size2D output_tile_size = winograd_info.output_tile_size;
const Size2D kernel_size = winograd_info.kernel_size;
@@ -94,20 +96,31 @@ std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITen
Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration));
bool window_changed = false;
- AccessWindowRectangle input_access(input, 0, 0, num_elems_processed_per_iteration, num_elems_processed_per_iteration);
- AccessWindowStatic output_access(output, 0, 0, ceil_to_multiple(output->dimension(0), output_tile_size.width), ceil_to_multiple(output->dimension(1), output_tile_size.height));
+ int output_static_window_end_x = 0;
+ int output_static_window_end_y = 0;
- if(bias != nullptr)
+ if(output->data_layout() == DataLayout::NCHW)
{
- AccessWindowStatic bias_access(bias, 0, 0, bias->dimension(0), bias->dimension(1));
- window_changed = update_window_and_padding(win, input_access, bias_access, output_access);
+ output_static_window_end_x = ceil_to_multiple(output->dimension(0), output_tile_size.width);
+ output_static_window_end_y = ceil_to_multiple(output->dimension(1), output_tile_size.height);
}
else
{
- window_changed = update_window_and_padding(win, input_access, output_access);
+ output_static_window_end_x = output->dimension(0);
+ output_static_window_end_y = std::max(ceil_to_multiple(output->dimension(1), output_tile_size.width), output->dimension(1) + 1 /* For out of bound reads towards the z axis */);
}
+
+ AccessWindowRectangle input_access(input, 0, 0, num_elems_processed_per_iteration, num_elems_processed_per_iteration);
+ AccessWindowStatic output_access(output, 0, 0, output_static_window_end_x, output_static_window_end_y);
+ window_changed = update_window_and_padding(win, input_access, output_access);
output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape()));
+ if(bias != nullptr)
+ {
+ AccessWindowStatic bias_access(bias, 0, 0, bias->dimension(0), bias->dimension(1));
+ window_changed = window_changed || update_window_and_padding(win, bias_access);
+ }
+
Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
return std::make_pair(err, win);
}
@@ -197,6 +210,12 @@ void CLWinogradOutputTransformKernel::run(const Window &window, cl::CommandQueue
add_1D_tensor_argument(idx1, _bias, slice_biases);
}
+ if(_output->info()->data_layout() == DataLayout::NHWC)
+ {
+ unsigned int idx2 = 2 * num_arguments_per_3D_tensor() + ((_bias != nullptr) ? num_arguments_per_1D_tensor() : 0);
+ _kernel.setArg(idx2, static_cast<int>(_output->info()->total_size() - _output->info()->strides_in_bytes().y()));
+ }
+
do
{
unsigned int idx = 0;