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author | Manuel Bottini <manuel.bottini@arm.com> | 2020-04-08 10:15:51 +0100 |
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committer | Manuel Bottini <manuel.bottini@arm.com> | 2020-04-23 17:53:59 +0000 |
commit | 2b84be544e4a27f7e8e80827e9c85c8f0d58b4ce (patch) | |
tree | 078051a911f9b8883a3f11955cfd3b7ba0d7d9f3 /src/runtime/CL/functions/CLSpaceToBatchLayer.cpp | |
parent | 0de45d0a8009e19331c4e29d617fa183167c513a (diff) | |
download | ComputeLibrary-2b84be544e4a27f7e8e80827e9c85c8f0d58b4ce.tar.gz |
COMPMID-3280: Make all ML primitives for CL use the new interface - Part 2
- CLFunctions have been updated
Change-Id: Ie3256a6c775bc12f3126482bd8e8a46da54b267c
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3053
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLSpaceToBatchLayer.cpp')
-rw-r--r-- | src/runtime/CL/functions/CLSpaceToBatchLayer.cpp | 21 |
1 files changed, 16 insertions, 5 deletions
diff --git a/src/runtime/CL/functions/CLSpaceToBatchLayer.cpp b/src/runtime/CL/functions/CLSpaceToBatchLayer.cpp index fa6e82efb0..021d31649d 100644 --- a/src/runtime/CL/functions/CLSpaceToBatchLayer.cpp +++ b/src/runtime/CL/functions/CLSpaceToBatchLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -39,26 +39,37 @@ CLSpaceToBatchLayer::CLSpaceToBatchLayer() void CLSpaceToBatchLayer::configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output) { + configure(CLKernelLibrary::get().get_compile_context(), input, block_shape, paddings, output); +} + +void CLSpaceToBatchLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output) +{ ARM_COMPUTE_ERROR_ON_NULLPTR(input, block_shape, paddings, output); if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size()) { _has_padding = true; - _memset_kernel.configure(output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info())); + _memset_kernel.configure(compile_context, output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info())); } - _space_to_batch_kernel.configure(input, block_shape, paddings, output); + _space_to_batch_kernel.configure(compile_context, input, block_shape, paddings, output); } void CLSpaceToBatchLayer::configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output) { + configure(CLKernelLibrary::get().get_compile_context(), input, block_shape_x, block_shape_y, padding_left, padding_right, output); +} + +void CLSpaceToBatchLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, + const Size2D &padding_right, ICLTensor *output) +{ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size()) { _has_padding = true; - _memset_kernel.configure(output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info())); + _memset_kernel.configure(compile_context, output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info())); } - _space_to_batch_kernel.configure(input, block_shape_x, block_shape_y, padding_left, padding_right, output); + _space_to_batch_kernel.configure(compile_context, input, block_shape_x, block_shape_y, padding_left, padding_right, output); } Status CLSpaceToBatchLayer::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output) |