| /* Copyright 2019 The TensorFlow Authors. All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| |
| #include "tensorflow/lite/delegates/gpu/metal/kernels/slice.h" |
| |
| #import <XCTest/XCTest.h> |
| |
| #include <string> |
| #include <vector> |
| |
| #include "tensorflow/lite/delegates/gpu/common/operations.h" |
| #include "tensorflow/lite/delegates/gpu/common/shape.h" |
| #include "tensorflow/lite/delegates/gpu/common/status.h" |
| #include "tensorflow/lite/delegates/gpu/common/tensor.h" |
| #include "tensorflow/lite/delegates/gpu/common/util.h" |
| #include "tensorflow/lite/delegates/gpu/metal/compute_task_descriptor.h" |
| #include "tensorflow/lite/delegates/gpu/metal/kernels/test_util.h" |
| |
| using ::tflite::gpu::BHWC; |
| using ::tflite::gpu::DataType; |
| using ::tflite::gpu::OperationType; |
| using ::tflite::gpu::ReLUAttributes; |
| using ::tflite::gpu::TensorRef; |
| using ::tflite::gpu::metal::CompareVectors; |
| using ::tflite::gpu::metal::SingleOpModel; |
| |
| @interface SliceTest : XCTestCase |
| @end |
| |
| @implementation SliceTest |
| - (void)setUp { |
| [super setUp]; |
| } |
| |
| TensorRef<BHWC> GetTensorRef(int ref) { |
| TensorRef<BHWC> tensor_ref; |
| tensor_ref.type = DataType::FLOAT32; |
| tensor_ref.ref = ref; |
| tensor_ref.shape = BHWC(1, 2, 2, 1); |
| return tensor_ref; |
| } |
| |
| - (void)testReluSmoke { |
| OperationType op_type = OperationType::RELU; |
| ReLUAttributes attr; |
| attr.clip = 0; |
| attr.alpha = 0; |
| SingleOpModel model({ToString(op_type), attr}, {GetTensorRef(0)}, {GetTensorRef(1)}); |
| XCTAssertTrue(model.PopulateTensor(0, {-6.0, 0.0, 2.0, 8.0})); |
| auto status = model.Invoke(); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| status = CompareVectors({0.0, 0.0, 2.0, 8.0}, model.GetOutput(0), 1e-6f); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| } |
| |
| - (void)testReluClipOnly { |
| OperationType op_type = OperationType::RELU; |
| ReLUAttributes attr; |
| attr.clip = 6; |
| attr.alpha = 0; |
| SingleOpModel model({ToString(op_type), attr}, {GetTensorRef(0)}, {GetTensorRef(1)}); |
| XCTAssertTrue(model.PopulateTensor(0, {-6.0, 0.0, 2.0, 8.0})); |
| auto status = model.Invoke(); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| status = CompareVectors({0.0, 0.0, 2.0, 6.0}, model.GetOutput(0), 1e-6f); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| } |
| |
| - (void)testReluAlphaOnly { |
| OperationType op_type = OperationType::RELU; |
| ReLUAttributes attr; |
| attr.clip = 0; |
| attr.alpha = 0.5; |
| SingleOpModel model({ToString(op_type), attr}, {GetTensorRef(0)}, {GetTensorRef(1)}); |
| XCTAssertTrue(model.PopulateTensor(0, {-6.0, 0.0, 2.0, 8.0})); |
| auto status = model.Invoke(); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| status = CompareVectors({-3.0, 0.0, 2.0, 8.0}, model.GetOutput(0), 1e-6f); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| } |
| |
| - (void)testReluClipAndAlpha { |
| OperationType op_type = OperationType::RELU; |
| ReLUAttributes attr; |
| attr.clip = 6; |
| attr.alpha = 0.5; |
| SingleOpModel model({ToString(op_type), attr}, {GetTensorRef(0)}, {GetTensorRef(1)}); |
| XCTAssertTrue(model.PopulateTensor(0, {-6.0, 0.0, 2.0, 8.0})); |
| auto status = model.Invoke(); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| status = CompareVectors({-3.0, 0.0, 2.0, 6.0}, model.GetOutput(0), 1e-6f); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| } |
| |
| @end |