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| author | Sheri Zhang <sheri.zhang@arm.com> | 2020-05-05 11:47:36 +0100 |
|---|---|---|
| committer | Sheri Zhang <sheri.zhang@arm.com> | 2020-05-12 13:12:58 +0000 |
| commit | 1f567afcdfb2919fab417f0060155deda7132df8 (patch) | |
| tree | 79631c4b121b89ff261156c41d1cc217afd891fc /tests/validation/reference/LogSoftmaxLayer.cpp | |
| parent | c630e94d143ac5f46381f53a4994b29ea7ef2ac0 (diff) | |
| download | ComputeLibrary-1f567afcdfb2919fab417f0060155deda7132df8.tar.gz | |
COMPMID-3442: Add support of negative axis in NESoftmaxLayer and reference code
Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Change-Id: I285cc3b74ac0a45f0ad5830baed5237cea568f15
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3147
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/reference/LogSoftmaxLayer.cpp')
| -rw-r--r-- | tests/validation/reference/LogSoftmaxLayer.cpp | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/tests/validation/reference/LogSoftmaxLayer.cpp b/tests/validation/reference/LogSoftmaxLayer.cpp index e4403956ab..edb208e6ae 100644 --- a/tests/validation/reference/LogSoftmaxLayer.cpp +++ b/tests/validation/reference/LogSoftmaxLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019 ARM Limited. + * Copyright (c) 2019-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -35,13 +35,13 @@ namespace validation namespace reference { template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type> -SimpleTensor<T> log_softmax_layer(const SimpleTensor<T> &src, float beta, size_t axis) +SimpleTensor<T> log_softmax_layer(const SimpleTensor<T> &src, float beta, int32_t axis) { return softmax_layer_generic<T>(src, beta, axis, true); } -template <typename T, typename std::enable_if<std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int>::type> -SimpleTensor<T> log_softmax_layer(const SimpleTensor<T> &src, float beta, size_t axis) +template < typename T, typename std::enable_if < std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int >::type > +SimpleTensor<T> log_softmax_layer(const SimpleTensor<T> &src, float beta, int32_t axis) { const QuantizationInfo output_quantization_info = arm_compute::get_softmax_output_quantization_info(src.data_type(), true); @@ -51,10 +51,10 @@ SimpleTensor<T> log_softmax_layer(const SimpleTensor<T> &src, float beta, size_t return dst; } -template SimpleTensor<float> log_softmax_layer(const SimpleTensor<float> &src, float beta, size_t axis); -template SimpleTensor<half> log_softmax_layer(const SimpleTensor<half> &src, float beta, size_t axis); -template SimpleTensor<uint8_t> log_softmax_layer(const SimpleTensor<uint8_t> &src, float beta, size_t axis); -template SimpleTensor<int8_t> log_softmax_layer(const SimpleTensor<int8_t> &src, float beta, size_t axis); +template SimpleTensor<float> log_softmax_layer(const SimpleTensor<float> &src, float beta, int32_t axis); +template SimpleTensor<half> log_softmax_layer(const SimpleTensor<half> &src, float beta, int32_t axis); +template SimpleTensor<uint8_t> log_softmax_layer(const SimpleTensor<uint8_t> &src, float beta, int32_t axis); +template SimpleTensor<int8_t> log_softmax_layer(const SimpleTensor<int8_t> &src, float beta, int32_t axis); } // namespace reference } // namespace validation } // namespace test |