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| author | Pablo Marquez Tello <pablo.tello@arm.com> | 2023-07-13 15:45:23 +0100 |
|---|---|---|
| committer | Pablo Marquez Tello <pablo.tello@arm.com> | 2023-07-21 08:59:22 +0000 |
| commit | 8dfb8820d5fe0f72a923eccc3bb73ee0b87d5511 (patch) | |
| tree | a6709f9f77d39d9db4e795b2deb5c7d16ea0ca12 /src/runtime/CL | |
| parent | 2e0714d4bb6795e34bcdcdaf812e9863dea2f43f (diff) | |
| download | ComputeLibrary-8dfb8820d5fe0f72a923eccc3bb73ee0b87d5511.tar.gz | |
Enable S64 output in CLArgMinMax
Resolves MLCE-1089
Change-Id: I8b385ef8a00ec5de60299bc7a359766ba5417e68
Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9918
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/runtime/CL')
| -rw-r--r-- | src/runtime/CL/functions/CLArgMinMaxLayer.cpp | 5 |
1 files changed, 5 insertions, 0 deletions
diff --git a/src/runtime/CL/functions/CLArgMinMaxLayer.cpp b/src/runtime/CL/functions/CLArgMinMaxLayer.cpp index ea6311afdb..b30d739025 100644 --- a/src/runtime/CL/functions/CLArgMinMaxLayer.cpp +++ b/src/runtime/CL/functions/CLArgMinMaxLayer.cpp @@ -96,10 +96,15 @@ void CLArgMinMaxLayer::configure(const CLCompileContext &compile_context, const DataType output_data_type = (output->info()->data_type() == DataType::UNKNOWN) ? DataType::S32 : output->info()->data_type(); auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape).set_data_type(output_data_type).reset_padding().set_is_resizable(true)); + TensorShape not_reshaped_output_shape{ input->info()->tensor_shape() }; + not_reshaped_output_shape.set(axis, 1); + auto_init_if_empty(*_not_reshaped_output.info(), input->info()->clone()->set_tensor_shape(not_reshaped_output_shape).set_data_type(output_data_type).reset_padding().set_is_resizable(true)); + _arg_min_max_kernel = std::make_unique<CLArgMinMaxLayerKernel>(); _arg_min_max_kernel->configure(compile_context, input, &_not_reshaped_output, axis, op); _memory_group.manage(&_not_reshaped_output); + _reshape.configure(compile_context, &_not_reshaped_output, output); _not_reshaped_output.allocator()->allocate(); } |