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| author | SiCongLi <sicong.li@arm.com> | 2021-12-22 11:22:40 +0000 |
|---|---|---|
| committer | SiCong Li <sicong.li@arm.com> | 2021-12-25 10:54:51 +0000 |
| commit | c4270cf958e85e0c41590030e1f9e228493a5ba0 (patch) | |
| tree | fe26e2724df1d9da12c8462a576688b93838bc79 /src/cpu/kernels/CpuPool2dKernel.cpp | |
| parent | cb86956e1972be4b2ddbaacaa23a0d21185f8ccb (diff) | |
| download | ComputeLibrary-c4270cf958e85e0c41590030e1f9e228493a5ba0.tar.gz | |
Add tests for FP Cpu Pooling where pool region is completely outside the input
* Add floating point validation tests for this configuration
* Fix reference implementation to return -inf for this configuration
* Prohibit this config in Cl, as well as non-float cases in Cpu
* Direct this config to non-asm path
Resolves COMPMID-4998
Change-Id: If88025c51b14ea337aea2441c548f858e95e5819
Signed-off-by: SiCongLi <sicong.li@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6857
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/cpu/kernels/CpuPool2dKernel.cpp')
| -rw-r--r-- | src/cpu/kernels/CpuPool2dKernel.cpp | 4 |
1 files changed, 4 insertions, 0 deletions
diff --git a/src/cpu/kernels/CpuPool2dKernel.cpp b/src/cpu/kernels/CpuPool2dKernel.cpp index 00b1ac76f5..f61cd0835d 100644 --- a/src/cpu/kernels/CpuPool2dKernel.cpp +++ b/src/cpu/kernels/CpuPool2dKernel.cpp @@ -199,6 +199,10 @@ Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); + ARM_COMPUTE_RETURN_ERROR_ON_MSG((!is_data_type_float(src->data_type())) + && (is_pool_region_entirely_outside_input(pool_info)), + "Pooling region that is entirely outside input tensor is unsupported for non-float types"); + std::tie(output_width, output_height) = scaled_dimensions_signed(src->tensor_shape()[idx_width], src->tensor_shape()[idx_height], pool_size.x(), pool_size.y(), pool_info.pad_stride_info); ARM_COMPUTE_RETURN_ERROR_ON_MSG((output_width < 1 || output_height < 1), "Calculated output dimension size is invalid"); |