| /* 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/add.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::Axis; |
| using ::tflite::gpu::BHWC; |
| using ::tflite::gpu::ConcatAttributes; |
| using ::tflite::gpu::DataType; |
| using ::tflite::gpu::OperationType; |
| using ::tflite::gpu::TensorRef; |
| using ::tflite::gpu::metal::CompareVectors; |
| using ::tflite::gpu::metal::SingleOpModel; |
| |
| @interface ConcatTest : XCTestCase |
| @end |
| |
| @implementation ConcatTest |
| - (void)setUp { |
| [super setUp]; |
| } |
| |
| - (void)testTwoInputTensorsByUnalignedChannel { |
| TensorRef<BHWC> input1, input2, output; |
| input1.type = DataType::FLOAT32; |
| input1.ref = 0; |
| input1.shape = BHWC(1, 2, 2, 1); |
| |
| input2.type = DataType::FLOAT32; |
| input2.ref = 1; |
| input2.shape = BHWC(1, 2, 2, 1); |
| |
| output.type = DataType::FLOAT32; |
| output.ref = 2; |
| output.shape = BHWC(1, 2, 2, 2); |
| |
| ConcatAttributes attr; |
| attr.axis = Axis::CHANNELS; |
| |
| SingleOpModel model({ToString(OperationType::CONCAT), attr}, {input1, input2}, {output}); |
| XCTAssertTrue(model.PopulateTensor(0, {1, 3, 5, 7})); |
| XCTAssertTrue(model.PopulateTensor(1, {2, 4, 6, 8})); |
| auto status = model.Invoke(); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| status = CompareVectors({1, 2, 3, 4, 5, 6, 7, 8}, model.GetOutput(0), 1e-6f); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| } |
| |
| - (void)testTwoInputTensorsByAlignedChannel { |
| TensorRef<BHWC> input1, input2, output; |
| input1.type = DataType::FLOAT32; |
| input1.ref = 0; |
| input1.shape = BHWC(1, 1, 1, 4); |
| |
| input2.type = DataType::FLOAT32; |
| input2.ref = 1; |
| input2.shape = BHWC(1, 1, 1, 4); |
| |
| output.type = DataType::FLOAT32; |
| output.ref = 2; |
| output.shape = BHWC(1, 1, 1, 8); |
| |
| ConcatAttributes attr; |
| attr.axis = Axis::CHANNELS; |
| |
| SingleOpModel model({ToString(OperationType::CONCAT), attr}, {input1, input2}, {output}); |
| XCTAssertTrue(model.PopulateTensor(0, {1, 2, 3, 4})); |
| XCTAssertTrue(model.PopulateTensor(1, {5, 6, 7, 8})); |
| auto status = model.Invoke(); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| status = CompareVectors({1, 2, 3, 4, 5, 6, 7, 8}, model.GetOutput(0), 1e-6f); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| } |
| |
| - (void)testTwoInputTensorsByHeight { |
| TensorRef<BHWC> input1, input2, output; |
| input1.type = DataType::FLOAT32; |
| input1.ref = 0; |
| input1.shape = BHWC(1, 1, 2, 1); |
| |
| input2.type = DataType::FLOAT32; |
| input2.ref = 1; |
| input2.shape = BHWC(1, 2, 2, 1); |
| |
| output.type = DataType::FLOAT32; |
| output.ref = 2; |
| output.shape = BHWC(1, 3, 2, 1); |
| |
| ConcatAttributes attr; |
| attr.axis = Axis::HEIGHT; |
| |
| SingleOpModel model({ToString(OperationType::CONCAT), attr}, {input1, input2}, {output}); |
| XCTAssertTrue(model.PopulateTensor(0, {1, 2})); |
| XCTAssertTrue(model.PopulateTensor(1, {3, 4, 5, 6})); |
| auto status = model.Invoke(); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| status = CompareVectors({1, 2, 3, 4, 5, 6}, model.GetOutput(0), 1e-6f); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| } |
| |
| - (void)testTwoInputTensorsByWidth { |
| TensorRef<BHWC> input1, input2, output; |
| input1.type = DataType::FLOAT32; |
| input1.ref = 0; |
| input1.shape = BHWC(1, 2, 1, 1); |
| |
| input2.type = DataType::FLOAT32; |
| input2.ref = 1; |
| input2.shape = BHWC(1, 2, 2, 1); |
| |
| output.type = DataType::FLOAT32; |
| output.ref = 2; |
| output.shape = BHWC(1, 2, 3, 1); |
| |
| ConcatAttributes attr; |
| attr.axis = Axis::WIDTH; |
| |
| SingleOpModel model({ToString(OperationType::CONCAT), attr}, {input1, input2}, {output}); |
| XCTAssertTrue(model.PopulateTensor(0, {1, 4})); |
| XCTAssertTrue(model.PopulateTensor(1, {2, 3, 5, 6})); |
| auto status = model.Invoke(); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| status = CompareVectors({1, 2, 3, 4, 5, 6}, model.GetOutput(0), 1e-6f); |
| XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str()); |
| } |
| @end |