diff options
Diffstat (limited to 'src/runtime/CL/functions/CLArgMinMaxLayer.cpp')
| -rw-r--r-- | src/runtime/CL/functions/CLArgMinMaxLayer.cpp | 17 |
1 files changed, 11 insertions, 6 deletions
diff --git a/src/runtime/CL/functions/CLArgMinMaxLayer.cpp b/src/runtime/CL/functions/CLArgMinMaxLayer.cpp index 4ac6d25d75..5b4c694f33 100644 --- a/src/runtime/CL/functions/CLArgMinMaxLayer.cpp +++ b/src/runtime/CL/functions/CLArgMinMaxLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -106,6 +106,11 @@ Status CLArgMinMaxLayer::validate(const ITensorInfo *input, int axis, const ITen void CLArgMinMaxLayer::configure(const ICLTensor *input, int axis, ICLTensor *output, const ReductionOperation &op) { + configure(CLKernelLibrary::get().get_compile_context(), input, axis, output, op); +} + +void CLArgMinMaxLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, int axis, ICLTensor *output, const ReductionOperation &op) +{ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); _num_of_stages = calculate_number_of_stages_only_x_axis(input->info()->dimension(0), axis); _reduction_axis = axis; @@ -121,7 +126,7 @@ void CLArgMinMaxLayer::configure(const ICLTensor *input, int axis, ICLTensor *ou // Create temporary tensors if(_num_of_stages == 1) { - _reduction_kernels_vector[0].configure(input, nullptr, &_not_reshaped_output, axis, op); + _reduction_kernels_vector[0].configure(compile_context, input, nullptr, &_not_reshaped_output, axis, op); } else { @@ -135,22 +140,22 @@ void CLArgMinMaxLayer::configure(const ICLTensor *input, int axis, ICLTensor *ou // Apply ReductionOperation only on first kernel _memory_group.manage(&_results_vector[0]); - _reduction_kernels_vector[0].configure(input, nullptr, &_results_vector[0], axis, op); + _reduction_kernels_vector[0].configure(compile_context, input, nullptr, &_results_vector[0], axis, op); // Apply ReductionOperation on intermediate stages for(unsigned int i = 1; i < _num_of_stages - 1; ++i) { _memory_group.manage(&_results_vector[i]); - _reduction_kernels_vector[i].configure(input, &_results_vector[i - 1], &_results_vector[i], axis, op); + _reduction_kernels_vector[i].configure(compile_context, input, &_results_vector[i - 1], &_results_vector[i], axis, op); _results_vector[i - 1].allocator()->allocate(); } // Apply ReductionOperation on the last stage const unsigned int last_stage = _num_of_stages - 1; - _reduction_kernels_vector[last_stage].configure(input, &_results_vector[last_stage - 1], &_not_reshaped_output, axis, op); + _reduction_kernels_vector[last_stage].configure(compile_context, input, &_results_vector[last_stage - 1], &_not_reshaped_output, axis, op); _results_vector[last_stage - 1].allocator()->allocate(); } - _reshape_kernel.configure(&_not_reshaped_output, output); + _reshape_kernel.configure(compile_context, &_not_reshaped_output, output); _not_reshaped_output.allocator()->allocate(); } |