diff options
Diffstat (limited to 'tests')
-rw-r--r-- | tests/benchmark/CL/ActivationLayer.cpp | 4 | ||||
-rw-r--r-- | tests/benchmark/CL/BatchNormalizationLayer.cpp | 4 | ||||
-rw-r--r-- | tests/benchmark/CL/ConvolutionLayer.cpp | 4 | ||||
-rw-r--r-- | tests/benchmark/CL/DepthConcatenateLayer.cpp | 4 | ||||
-rw-r--r-- | tests/benchmark/CL/FlattenLayer.cpp | 4 | ||||
-rw-r--r-- | tests/benchmark/CL/FullyConnectedLayer.cpp | 4 | ||||
-rw-r--r-- | tests/benchmark/CL/NormalizationLayer.cpp | 4 | ||||
-rw-r--r-- | tests/benchmark/CL/SoftmaxLayer.cpp | 4 | ||||
-rw-r--r-- | tests/benchmark/NEON/ActivationLayer.cpp | 6 | ||||
-rw-r--r-- | tests/benchmark/NEON/BatchNormalizationLayer.cpp | 6 | ||||
-rw-r--r-- | tests/benchmark/NEON/ConvolutionLayer.cpp | 6 | ||||
-rw-r--r-- | tests/benchmark/NEON/DepthConcatenateLayer.cpp | 4 | ||||
-rw-r--r-- | tests/benchmark/NEON/DirectConvolutionLayer.cpp | 16 | ||||
-rw-r--r-- | tests/benchmark/NEON/FlattenLayer.cpp | 4 | ||||
-rw-r--r-- | tests/benchmark/NEON/FullyConnectedLayer.cpp | 6 | ||||
-rw-r--r-- | tests/benchmark/NEON/GEMM.cpp | 5 | ||||
-rw-r--r-- | tests/benchmark/NEON/NormalizationLayer.cpp | 6 | ||||
-rw-r--r-- | tests/benchmark/NEON/PoolingLayer.cpp | 4 | ||||
-rw-r--r-- | tests/benchmark/NEON/SoftmaxLayer.cpp | 4 |
19 files changed, 48 insertions, 51 deletions
diff --git a/tests/benchmark/CL/ActivationLayer.cpp b/tests/benchmark/CL/ActivationLayer.cpp index e919c7820b..6412bd9680 100644 --- a/tests/benchmark/CL/ActivationLayer.cpp +++ b/tests/benchmark/CL/ActivationLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -45,7 +45,7 @@ namespace test { namespace { -const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); } // namespace using CLActivationLayerFixture = ActivationLayerFixture<CLTensor, CLActivationLayer, CLAccessor>; diff --git a/tests/benchmark/CL/BatchNormalizationLayer.cpp b/tests/benchmark/CL/BatchNormalizationLayer.cpp index af88278fef..0fc8727241 100644 --- a/tests/benchmark/CL/BatchNormalizationLayer.cpp +++ b/tests/benchmark/CL/BatchNormalizationLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -40,7 +40,7 @@ namespace test { namespace { -const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8, DataType::QS16 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F32 }); } // namespace using CLBatchNormalizationLayerFixture = BatchNormalizationLayerFixture<CLTensor, CLBatchNormalizationLayer, CLAccessor>; diff --git a/tests/benchmark/CL/ConvolutionLayer.cpp b/tests/benchmark/CL/ConvolutionLayer.cpp index 4467765878..e163dadb30 100644 --- a/tests/benchmark/CL/ConvolutionLayer.cpp +++ b/tests/benchmark/CL/ConvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -45,7 +45,7 @@ namespace test { namespace { -const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); } // namespace using CLConvolutionLayerFixture = ConvolutionLayerFixture<CLTensor, CLConvolutionLayer, CLAccessor>; diff --git a/tests/benchmark/CL/DepthConcatenateLayer.cpp b/tests/benchmark/CL/DepthConcatenateLayer.cpp index ebc225ac89..3a5c457135 100644 --- a/tests/benchmark/CL/DepthConcatenateLayer.cpp +++ b/tests/benchmark/CL/DepthConcatenateLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -41,7 +41,7 @@ namespace benchmark { namespace { -const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F16, DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); } // namespace using CLDepthConcatenateLayerFixture = DepthConcatenateLayerFixture<CLTensor, ICLTensor, CLDepthConcatenateLayer, CLAccessor>; diff --git a/tests/benchmark/CL/FlattenLayer.cpp b/tests/benchmark/CL/FlattenLayer.cpp index f31f829ae7..e7e5a475b1 100644 --- a/tests/benchmark/CL/FlattenLayer.cpp +++ b/tests/benchmark/CL/FlattenLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -40,7 +40,7 @@ namespace benchmark { namespace { -const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F32 }); } // namespace using CLFlattenLayerFixture = FlattenLayerFixture<CLTensor, CLFlattenLayer, CLAccessor>; diff --git a/tests/benchmark/CL/FullyConnectedLayer.cpp b/tests/benchmark/CL/FullyConnectedLayer.cpp index e5f3217368..482188560a 100644 --- a/tests/benchmark/CL/FullyConnectedLayer.cpp +++ b/tests/benchmark/CL/FullyConnectedLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -43,7 +43,7 @@ namespace test { namespace { -const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); } // namespace using CLFullyConnectedLayerFixture = FullyConnectedLayerFixture<CLTensor, CLFullyConnectedLayer, CLAccessor>; diff --git a/tests/benchmark/CL/NormalizationLayer.cpp b/tests/benchmark/CL/NormalizationLayer.cpp index 8dd5f62dd3..75a98b6f0b 100644 --- a/tests/benchmark/CL/NormalizationLayer.cpp +++ b/tests/benchmark/CL/NormalizationLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -40,7 +40,7 @@ namespace test { namespace { -const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F16, DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); } // namespace using CLNormalizationLayerFixture = NormalizationLayerFixture<CLTensor, CLNormalizationLayer, CLAccessor>; diff --git a/tests/benchmark/CL/SoftmaxLayer.cpp b/tests/benchmark/CL/SoftmaxLayer.cpp index ff7d5fdeaa..0bdc47b839 100644 --- a/tests/benchmark/CL/SoftmaxLayer.cpp +++ b/tests/benchmark/CL/SoftmaxLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -39,7 +39,7 @@ namespace test { namespace { -const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QASYMM8, DataType::QS16, DataType::F16, DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::QASYMM8, DataType::F16, DataType::F32 }); } // namespace using CLSoftmaxLayerFixture = SoftmaxLayerFixture<CLTensor, CLSoftmaxLayer, CLAccessor>; diff --git a/tests/benchmark/NEON/ActivationLayer.cpp b/tests/benchmark/NEON/ActivationLayer.cpp index 6344da8853..b51cd7a841 100644 --- a/tests/benchmark/NEON/ActivationLayer.cpp +++ b/tests/benchmark/NEON/ActivationLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -46,9 +46,9 @@ namespace test namespace { #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); #else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ -const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8, DataType::QS16 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F32 }); #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ } // namespace diff --git a/tests/benchmark/NEON/BatchNormalizationLayer.cpp b/tests/benchmark/NEON/BatchNormalizationLayer.cpp index 5b568de5f2..3a7f2c6b63 100644 --- a/tests/benchmark/NEON/BatchNormalizationLayer.cpp +++ b/tests/benchmark/NEON/BatchNormalizationLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -42,9 +42,9 @@ namespace test namespace { #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); #else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ -const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F32 }); #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ } // namespace diff --git a/tests/benchmark/NEON/ConvolutionLayer.cpp b/tests/benchmark/NEON/ConvolutionLayer.cpp index 45138d713e..b2aa92917b 100644 --- a/tests/benchmark/NEON/ConvolutionLayer.cpp +++ b/tests/benchmark/NEON/ConvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -47,9 +47,9 @@ namespace test namespace { #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); #else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ -const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8, DataType::QS16 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F32 }); #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ } // namespace diff --git a/tests/benchmark/NEON/DepthConcatenateLayer.cpp b/tests/benchmark/NEON/DepthConcatenateLayer.cpp index 129dc60fdb..04c0bffccb 100644 --- a/tests/benchmark/NEON/DepthConcatenateLayer.cpp +++ b/tests/benchmark/NEON/DepthConcatenateLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -41,7 +41,7 @@ namespace benchmark { namespace { -const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F16, DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); } // namespace using NEDepthConcatenateLayerFixture = DepthConcatenateLayerFixture<Tensor, ITensor, NEDepthConcatenateLayer, Accessor>; diff --git a/tests/benchmark/NEON/DirectConvolutionLayer.cpp b/tests/benchmark/NEON/DirectConvolutionLayer.cpp index 4b93eeabc6..7854f618b9 100644 --- a/tests/benchmark/NEON/DirectConvolutionLayer.cpp +++ b/tests/benchmark/NEON/DirectConvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -47,11 +47,9 @@ namespace { // Special data types for networks that need 5x5 direct convolution, which does not support Fixed Point #ifdef ARM_COMPUTE_ENABLE_F16 -const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 }); -const auto data_types_no_fixed = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); #else /* ARM_COMPUTE_ENABLE_F16 */ -const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 }); -const auto data_types_no_fixed = framework::dataset::make("DataType", { DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F32 }); #endif /* ARM_COMPUTE_ENABLE_F16 */ } // namespace @@ -60,11 +58,11 @@ using NEConvolutionLayerFixture = ConvolutionLayerFixture<Tensor, NEDirectConvol TEST_SUITE(NEON) REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types_no_fixed), + framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types_no_fixed), + framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, @@ -77,11 +75,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEConvolutionL TEST_SUITE(NIGHTLY) REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types_no_fixed), + framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types_no_fixed), + framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, diff --git a/tests/benchmark/NEON/FlattenLayer.cpp b/tests/benchmark/NEON/FlattenLayer.cpp index e59f435351..9479f01662 100644 --- a/tests/benchmark/NEON/FlattenLayer.cpp +++ b/tests/benchmark/NEON/FlattenLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -40,7 +40,7 @@ namespace benchmark { namespace { -const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F32 }); } // namespace using NEFllattenLayerFixture = FlattenLayerFixture<Tensor, NEFlattenLayer, Accessor>; diff --git a/tests/benchmark/NEON/FullyConnectedLayer.cpp b/tests/benchmark/NEON/FullyConnectedLayer.cpp index c914d26861..edd4406485 100644 --- a/tests/benchmark/NEON/FullyConnectedLayer.cpp +++ b/tests/benchmark/NEON/FullyConnectedLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -44,9 +44,9 @@ namespace test namespace { #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); #else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ -const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8, DataType::QS16 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F32 }); #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ } // namespace diff --git a/tests/benchmark/NEON/GEMM.cpp b/tests/benchmark/NEON/GEMM.cpp index 9c4cd5936d..1d6ea8df7f 100644 --- a/tests/benchmark/NEON/GEMM.cpp +++ b/tests/benchmark/NEON/GEMM.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -46,8 +46,7 @@ const auto data_types = framework::dataset::make("DataType", #if __ARM_FEATURE_FP16_VECTOR_ARITHMETIC DataType::F16, #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - DataType::F32, - DataType::QS8 + DataType::F32 }); } // namespace diff --git a/tests/benchmark/NEON/NormalizationLayer.cpp b/tests/benchmark/NEON/NormalizationLayer.cpp index 3b1720dc95..1f2b2a3405 100644 --- a/tests/benchmark/NEON/NormalizationLayer.cpp +++ b/tests/benchmark/NEON/NormalizationLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -41,9 +41,9 @@ namespace test namespace { #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F16, DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); #else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ -const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F32 }); #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ } // namespace using NENormalizationLayerFixture = NormalizationLayerFixture<Tensor, NENormalizationLayer, Accessor>; diff --git a/tests/benchmark/NEON/PoolingLayer.cpp b/tests/benchmark/NEON/PoolingLayer.cpp index 46f9dfe361..c1e1a01563 100644 --- a/tests/benchmark/NEON/PoolingLayer.cpp +++ b/tests/benchmark/NEON/PoolingLayer.cpp @@ -46,9 +46,9 @@ namespace test namespace { #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QASYMM8 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QASYMM8 }); #else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ -const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8, DataType::QASYMM8 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QASYMM8 }); #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ } // namespace diff --git a/tests/benchmark/NEON/SoftmaxLayer.cpp b/tests/benchmark/NEON/SoftmaxLayer.cpp index 399d581e79..9a6f6a457d 100644 --- a/tests/benchmark/NEON/SoftmaxLayer.cpp +++ b/tests/benchmark/NEON/SoftmaxLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -39,7 +39,7 @@ namespace test { namespace { -const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F32 }); } // namespace using NESoftmaxLayerFixture = SoftmaxLayerFixture<Tensor, NESoftmaxLayer, Accessor>; 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