COMPMID-1060 LSTM FP32 NEON

Change-Id: I0bdf874e61917903c26f713ec41a7ffc29e07233
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/143892
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

1 files changed, 181 insertions, 0 deletions

diff --git a/tests/validation/NEON/LSTMLayer.cpp b/tests/validation/NEON/LSTMLayer.cpp
new file mode 100644
index 0000000000..3693d4f20d
--- /dev/null
+++ b/tests/validation/NEON/LSTMLayer.cpp
@@ -0,0 +1,181 @@
+/*
+ * Copyright (c) 2018 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(0.001f);
+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, 13U), 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(datasets::SmallLSTMLayerDataset(), framework::dataset::make("DataType",
+                                                                                                                 DataType::F32)),
+                                                                                                         framework::dataset::make("ProjectionOpt", { true, false })),
+                                                                                                 framework::dataset::make("PeepholeOpt", { true, false })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, 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(datasets::SmallLSTMLayerDataset(), framework::dataset::make("DataType", DataType::F16)),
+                                                                                                        framework::dataset::make("ProjectionOpt", { true, false })),
+                                                                                                framework::dataset::make("PeepholeOpt", { true, false })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, 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