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author | Manuel Bottini <manuel.bottini@arm.com> | 2021-03-23 11:50:34 +0000 |
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committer | Manuel Bottini <manuel.bottini@arm.com> | 2021-04-06 11:28:16 +0000 |
commit | ca62c6f53eb7244e6fed9f7e932608aa2496d9eb (patch) | |
tree | e5c7630c40d9f009e9baef4e849c6c7cc6ca90a7 /src/core/cpu/kernels/pooling/neon/nchw/all.cpp | |
parent | 4ed7b39dbbe8ccc6267a9eacefca51717c3b3e10 (diff) | |
download | ComputeLibrary-ca62c6f53eb7244e6fed9f7e932608aa2496d9eb.tar.gz |
Mixed data-layout testing on high priority operators
Change data layouts after the configure in validation tests for:
- Scale
- Pooling
- FullyConnected
- DepthwiseConvolution
- DirectConvolution
- FFTConvolution
- WinogradConvolution
- GEMMConvolution (Indirect GEMM included)
Extending fixtures
Fixes for new mixed data layout tests
Resolves: COMPMID-4162
Change-Id: I2f2eb2075f7e24ab3872249d88cadb57b82c5dde
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5326
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'src/core/cpu/kernels/pooling/neon/nchw/all.cpp')
-rw-r--r-- | src/core/cpu/kernels/pooling/neon/nchw/all.cpp | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/src/core/cpu/kernels/pooling/neon/nchw/all.cpp b/src/core/cpu/kernels/pooling/neon/nchw/all.cpp index 47ac7b4f7f..80eac684aa 100644 --- a/src/core/cpu/kernels/pooling/neon/nchw/all.cpp +++ b/src/core/cpu/kernels/pooling/neon/nchw/all.cpp @@ -150,7 +150,7 @@ void pooling2_nchw_maxpool_indices(const ITensor *src, ITensor *dst0, ITensor *d *(reinterpret_cast<T *>(out.ptr())) = static_cast<T>(vget_lane_f32(max_data, 0)); // Calculate max data indice, which will be used in max unpool. - const uint32_t offset_base = offset_no_padding<T>(in.offset(), id, *src->info(), pool_stride_x, pool_stride_y); + const uint32_t offset_base = offset_no_padding<T>(in.offset(), id, *src->info(), pool_stride_x, pool_stride_y, DataLayout::NCHW); const uint32_t offset_top = (uint32_t)(offset_base / sizeof(T)); const uint32_t offset_bottom = offset_top + in_stride_y / sizeof(T) - pad_right - pad_left; const uint32x2_t voffset_top = { offset_top, offset_top + 1u }; |