| /* |
| * Copyright (c) 2018-2019 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "arm_compute/runtime/NEON/functions/NELSTMLayer.h" |
| #include "tests/NEON/Accessor.h" |
| #include "tests/PaddingCalculator.h" |
| #include "tests/datasets/LSTMLayerDataset.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/framework/datasets/Datasets.h" |
| #include "tests/validation/Validation.h" |
| #include "tests/validation/fixtures/LSTMLayerFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| RelativeTolerance<float> tolerance_f32(0.00001f); |
| RelativeTolerance<half> tolerance_f16(half(0.1)); |
| } // namespace |
| |
| TEST_SUITE(NEON) |
| TEST_SUITE(LSTMLayer) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(zip( |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(8U, 2U), 1, DataType::U8), // Wrong data type |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Wrong input size |
| TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), // Wrong input weights size |
| TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), // Wrong recurrent weights size |
| TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), // Wrong cell bias size |
| TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), // Wrong cell state size |
| TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), // Wrong output size |
| TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), // Wrong scratch size |
| }), |
| framework::dataset::make("InputWeightsInfo", { TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), |
| })), |
| framework::dataset::make("RecurrentWeightsInfo", { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), |
| })), |
| framework::dataset::make("CellBiasInfo", { TensorInfo(TensorShape(16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U), 1, DataType::F32), |
| TensorInfo(TensorShape(30U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U), 1, DataType::F32), |
| })), |
| framework::dataset::make("ProjectionBiasInfo", { TensorInfo(TensorShape(16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U), 1, DataType::F32), |
| })), |
| framework::dataset::make("CellStateInfo", { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(11U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), |
| })), |
| framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(11U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), |
| })), |
| framework::dataset::make("ScratchInfo", { TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(12U, 2U), 1, DataType::F32), |
| })), |
| framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| })), |
| framework::dataset::make("Expected", { false, false, false, false, false, false, false, false })), |
| input_info, input_weights_info, recurrent_weights_info, cell_bias_info, projection_bias_info, cell_state_info, output_info, scratch_info, info, expected) |
| { |
| LSTMParams<ITensorInfo> lstm_params_info; |
| lstm_params_info.set_peephole_params(&cell_bias_info, &cell_bias_info) |
| .set_projection_params(&recurrent_weights_info, &projection_bias_info) |
| .set_cifg_params(&input_weights_info, &recurrent_weights_info, &cell_bias_info, &cell_bias_info); |
| |
| ARM_COMPUTE_EXPECT(bool(NELSTMLayer::validate(&input_info.clone()->set_is_resizable(false), &input_weights_info.clone()->set_is_resizable(false), &input_weights_info.clone()->set_is_resizable(false), |
| &input_weights_info.clone()->set_is_resizable(false), &recurrent_weights_info.clone()->set_is_resizable(false), &recurrent_weights_info.clone()->set_is_resizable(false), |
| &recurrent_weights_info.clone()->set_is_resizable(false), &cell_bias_info.clone()->set_is_resizable(false), &cell_bias_info.clone()->set_is_resizable(false), |
| &cell_bias_info.clone()->set_is_resizable(false), |
| &output_info.clone()->set_is_resizable(false), &cell_state_info.clone()->set_is_resizable(false), |
| &scratch_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), &cell_state_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), |
| lstm_params_info, info, 0.05, 0.9)) == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| template <typename T> |
| using NELSTMLayerFixture = LSTMLayerValidationFixture<Tensor, Accessor, NELSTMLayer, LSTMParams<ITensor>, T>; |
| |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NELSTMLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallLSTMLayerDataset(), framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("ProjectionOpt", { true, false })), |
| framework::dataset::make("PeepholeOpt", { true, false })), |
| framework::dataset::make("UseLayerNorm", { true, false }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f32); |
| validate(Accessor(_target_scratch), _reference_scratch, tolerance_f32); |
| } |
| TEST_SUITE_END() // FP32 |
| |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NELSTMLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallLSTMLayerDataset(), framework::dataset::make("DataType", |
| DataType::F16)), |
| framework::dataset::make("ProjectionOpt", { true, false })), |
| framework::dataset::make("PeepholeOpt", { true, false })), |
| framework::dataset::make("UseLayerNorm", { true, false }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f16); |
| validate(Accessor(_target_scratch), _reference_scratch, tolerance_f16); |
| } |
| TEST_SUITE_END() // FP16 |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| TEST_SUITE_END() // LSTMLayer |
| TEST_SUITE_END() // NEON |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
