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author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2021-04-26 08:39:28 +0100 |
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committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-04-27 11:44:17 +0000 |
commit | 40471d12a19088df4af6ad80e5c0437d724dd8fa (patch) | |
tree | d17c921b0285d447d6055c7bd88e9962bf4e8f1d /src/core/gpu/cl | |
parent | 3eb5d29de823f7dbe0dc6b3a882a7db5950428a3 (diff) | |
download | ComputeLibrary-40471d12a19088df4af6ad80e5c0437d724dd8fa.tar.gz |
Add optimization for global pooling in pooling_layer.cl
- Simplify the implementation when the pooling size has the same spatial
dimensions of the input tensor
- Rework the heuristic for F32/F16
- Add test for validating the global pooling path
- Fix compare_dimensions in validation. The validation fails because we have different
number of dimensions for NCHW and NHWC (e.g. 1,1,2,1(NCHW) -> 2,1,1,1(NHWC)
Change-Id: Iba680cb30bf2a5d0952265a4cc9794f368549ca5
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5510
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/gpu/cl')
-rw-r--r-- | src/core/gpu/cl/kernels/ClPoolingKernel.cpp | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/src/core/gpu/cl/kernels/ClPoolingKernel.cpp b/src/core/gpu/cl/kernels/ClPoolingKernel.cpp index 78243402bf..a432877a1d 100644 --- a/src/core/gpu/cl/kernels/ClPoolingKernel.cpp +++ b/src/core/gpu/cl/kernels/ClPoolingKernel.cpp @@ -173,9 +173,11 @@ std::tuple<Status, Window, ClPoolingConfig> validate_and_configure_window(ITenso } case DataLayout::NHWC: { + const size_t vec_size = dst->data_type() == DataType::F32 ? 2 : 4; + // Initialize border size border_size = BorderSize(); - num_elems_processed_per_iteration = adjust_vec_size(4, dst->dimension(0)); + num_elems_processed_per_iteration = adjust_vec_size(vec_size, dst->dimension(0)); win = calculate_max_window(*dst, Steps(num_elems_processed_per_iteration)); break; } |