diff options
Diffstat (limited to 'src')
| -rw-r--r-- | src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp | 6 | ||||
| -rw-r--r-- | src/core/NEON/kernels/NEBatchToSpaceLayerKernel.cpp | 4 |
2 files changed, 5 insertions, 5 deletions
diff --git a/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp b/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp index 6f333dd925..b47d5a7e38 100644 --- a/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp +++ b/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2021 Arm Limited. + * Copyright (c) 2018-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -128,8 +128,8 @@ void CLBatchToSpaceLayerKernel::configure(const CLCompileContext &compile_contex { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - TensorShape output_shape = compute_batch_to_space_shape(input->info(), block_shape_x, block_shape_y); - auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type()); + const TensorShape output_shape = compute_batch_to_space_shape(input->info()->data_layout(), input->info()->tensor_shape(), block_shape_x, block_shape_y); + auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape)); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments_static(input->info(), block_shape_x, block_shape_y, output->info())); diff --git a/src/core/NEON/kernels/NEBatchToSpaceLayerKernel.cpp b/src/core/NEON/kernels/NEBatchToSpaceLayerKernel.cpp index 10207b9cf6..84c727df73 100644 --- a/src/core/NEON/kernels/NEBatchToSpaceLayerKernel.cpp +++ b/src/core/NEON/kernels/NEBatchToSpaceLayerKernel.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019-2020 Arm Limited. + * Copyright (c) 2019-2020, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -103,7 +103,7 @@ void NEBatchToSpaceLayerKernel::configure(const ITensor *input, const ITensor *b void NEBatchToSpaceLayerKernel::configure(const ITensor *input, const int32_t block_shape_x, const int32_t block_shape_y, ITensor *output) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - TensorShape output_shape = compute_batch_to_space_shape(input->info(), block_shape_x, block_shape_y); + const TensorShape output_shape = compute_batch_to_space_shape(input->info()->data_layout(), input->info()->tensor_shape(), block_shape_x, block_shape_y); // Output auto inizialitation if not yet initialized auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape)); |