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authorManuel Bottini <manuel.bottini@arm.com>2019-12-10 15:28:40 +0000
committerGeorgios Pinitas <georgios.pinitas@arm.com>2020-01-09 11:38:00 +0000
commit8481d833783589e70191c6388c93685b4fc4a0b8 (patch)
tree98e171bf013ad86bfe021bcc5c5a03e8634094d1 /src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.cpp
parenta35980546c00ae1647ce033b061530607a5ad1e4 (diff)
downloadComputeLibrary-8481d833783589e70191c6388c93685b4fc4a0b8.tar.gz
COMPMID-2753: Add support for QASYMM8_SIGNED in CL kernels/functions
Change-Id: I7ed2d43f33458ba0571323f6fa9dc2e45fcd672a Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/2516 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.cpp14
1 files changed, 7 insertions, 7 deletions
diff --git a/src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.cpp b/src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.cpp
index 69e5eff213..3a7c548e06 100644
--- a/src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.cpp
+++ b/src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019 ARM Limited.
+ * Copyright (c) 2019-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -39,7 +39,7 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, con
const PadStrideInfo &deconv_info)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output, input_info, weights_info);
- const DataLayout data_layout = input_info->data_layout();
+ const DataLayout data_layout = input_info->data_layout();
const size_t idx_w = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
const size_t idx_h = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
@@ -50,7 +50,7 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, con
ARM_COMPUTE_RETURN_ERROR_ON(weights_info->dimension(idx_w) != deconv_info.stride().first);
ARM_COMPUTE_RETURN_ERROR_ON(weights_info->dimension(idx_h) != deconv_info.stride().second);
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32, DataType::F16, DataType::QASYMM8, DataType::S32);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32, DataType::F16, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::S32);
if(!is_qasymm)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, input_info, weights_info);
@@ -76,7 +76,7 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, con
if(output->total_size() != 0)
{
const PadStrideInfo stride_info(deconv_info.stride().first, deconv_info.stride().second);
- auto out_dims = deconvolution_output_dimensions(input_info->dimension(idx_w), input_info->dimension(idx_h), weights_info->dimension(idx_w), weights_info->dimension(idx_h), stride_info);
+ auto out_dims = deconvolution_output_dimensions(input_info->dimension(idx_w), input_info->dimension(idx_h), weights_info->dimension(idx_w), weights_info->dimension(idx_h), stride_info);
const TensorShape output_shape = misc::shape_calculator::compute_deconvolution_output_shape(out_dims, *input_info, *weights_info);
@@ -89,9 +89,9 @@ std::pair<Status, Window> validate_and_configure_window(const ITensorInfo *input
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
- const DataLayout data_layout = input_info->data_layout();
- const size_t idx_w = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
- const size_t idx_h = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
+ const DataLayout data_layout = input_info->data_layout();
+ const size_t idx_w = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
+ const size_t idx_h = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
const PadStrideInfo stride_info(deconv_info.stride().first, deconv_info.stride().second);
auto out_dims = deconvolution_output_dimensions(input_info->dimension(idx_w), input_info->dimension(idx_h), weights_info->dimension(idx_w), weights_info->dimension(idx_h), stride_info);