| /* 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/core/kernels/data/window_dataset_op.h" |
| |
| #include "tensorflow/core/kernels/data/dataset_test_base.h" |
| |
| namespace tensorflow { |
| namespace data { |
| namespace { |
| |
| constexpr char kNodeName[] = "window_dataset"; |
| |
| class WindowDatasetOpTest : public DatasetOpsTestBase { |
| protected: |
| // Creates a new `WindowDataset` op kernel |
| Status CreateWindowDatasetKernel( |
| const DataTypeVector& output_types, |
| const std::vector<PartialTensorShape>& output_shapes, |
| std::unique_ptr<OpKernel>* op_kernel) { |
| NodeDef node_def = test::function::NDef( |
| kNodeName, name_utils::OpName(WindowDatasetOp::kDatasetType), |
| {WindowDatasetOp::kInputDataset, WindowDatasetOp::kSize, |
| WindowDatasetOp::kShift, WindowDatasetOp::kStride, |
| WindowDatasetOp::kDropRemainder}, |
| {{WindowDatasetOp::kOutputTypes, output_types}, |
| {WindowDatasetOp::kOutputShapes, output_shapes}}); |
| TF_RETURN_IF_ERROR(CreateOpKernel(node_def, op_kernel)); |
| return Status::OK(); |
| } |
| |
| // Creates a new `WindowDataset` op kernel context. |
| Status CreateWindowDatasetContext( |
| OpKernel* const op_kernel, |
| gtl::InlinedVector<TensorValue, 4>* const inputs, |
| std::unique_ptr<OpKernelContext>* context) { |
| TF_RETURN_IF_ERROR(CheckOpKernelInput(*op_kernel, *inputs)); |
| TF_RETURN_IF_ERROR(CreateOpKernelContext(op_kernel, inputs, context)); |
| return Status::OK(); |
| } |
| }; |
| |
| struct RangeDatasetParam { |
| int64 start; |
| int64 end; |
| int64 step; |
| }; |
| |
| struct TestCase { |
| RangeDatasetParam range_data_param; |
| Tensor size; |
| Tensor shift; |
| Tensor stride; |
| Tensor drop_remainder; |
| std::vector<std::vector<Tensor>> expected_outputs; |
| DataTypeVector expected_output_dtypes; |
| std::vector<PartialTensorShape> expected_output_shapes; |
| int64 expected_cardinality; |
| std::vector<int> breakpoints; |
| }; |
| |
| // Test case 1: size=2, shift=2, stride=1, drop_remainder=false. |
| TestCase TestCase1() { |
| return {/*range_data_param*/ {0, 7, 1}, |
| /*size*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*shift*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*stride*/ CreateTensor<int64>(TensorShape({}), {1}), |
| /*drop_remainder*/ |
| CreateTensor<bool>(TensorShape({}), {false}), |
| /*expected_outputs*/ |
| {{CreateTensor<int64>(TensorShape({}), {0}), |
| CreateTensor<int64>(TensorShape({}), {1})}, |
| {CreateTensor<int64>(TensorShape({}), {2}), |
| CreateTensor<int64>(TensorShape({}), {3})}, |
| {CreateTensor<int64>(TensorShape({}), {4}), |
| CreateTensor<int64>(TensorShape({}), {5})}, |
| {CreateTensor<int64>(TensorShape({}), {6})}}, |
| /*expected_output_dtypes*/ {DT_VARIANT}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ 4, |
| /*breakpoints*/ {0, 1, 9}}; |
| } |
| |
| // Test case 2: size=2, shift=2, stride=2, drop_remainder=true. |
| TestCase TestCase2() { |
| return {/*range_data_param*/ {0, 7, 1}, |
| /*size*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*shift*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*stride*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*drop_remainder*/ |
| CreateTensor<bool>(TensorShape({}), {true}), |
| /*expected_outputs*/ |
| {{CreateTensor<int64>(TensorShape({}), {0}), |
| CreateTensor<int64>(TensorShape({}), {2})}, |
| {CreateTensor<int64>(TensorShape({}), {2}), |
| CreateTensor<int64>(TensorShape({}), {4})}, |
| {CreateTensor<int64>(TensorShape({}), {4}), |
| CreateTensor<int64>(TensorShape({}), {6})}}, |
| /*expected_output_dtypes*/ {DT_VARIANT}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ 3, |
| /*breakpoints*/ {0, 1, 9}}; |
| } |
| |
| // Test case 3: size=8, shift=3, stride=1, drop_remainder=false. |
| TestCase TestCase3() { |
| return {/*range_data_param*/ {0, 7, 1}, |
| /*size*/ CreateTensor<int64>(TensorShape({}), {8}), |
| /*shift*/ CreateTensor<int64>(TensorShape({}), {3}), |
| /*stride*/ CreateTensor<int64>(TensorShape({}), {1}), |
| /*drop_remainder*/ |
| CreateTensor<bool>(TensorShape({}), {false}), |
| /*expected_outputs*/ |
| {{CreateTensor<int64>(TensorShape({}), {0}), |
| CreateTensor<int64>(TensorShape({}), {1}), |
| CreateTensor<int64>(TensorShape({}), {2}), |
| CreateTensor<int64>(TensorShape({}), {3}), |
| CreateTensor<int64>(TensorShape({}), {4}), |
| CreateTensor<int64>(TensorShape({}), {5}), |
| CreateTensor<int64>(TensorShape({}), {6})}, |
| {CreateTensor<int64>(TensorShape({}), {3}), |
| CreateTensor<int64>(TensorShape({}), {4}), |
| CreateTensor<int64>(TensorShape({}), {5}), |
| CreateTensor<int64>(TensorShape({}), {6})}, |
| {CreateTensor<int64>(TensorShape({}), {6})}}, |
| /*expected_output_dtypes*/ {DT_VARIANT}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ 3, |
| /*breakpoints*/ {0, 1, 9}}; |
| } |
| |
| // Test case 4: size=8, shift=3, stride=1, drop_remainder=true. |
| TestCase TestCase4() { |
| return {/*range_data_param*/ {0, 7, 1}, |
| /*size*/ CreateTensor<int64>(TensorShape({}), {8}), |
| /*shift*/ CreateTensor<int64>(TensorShape({}), {3}), |
| /*stride*/ CreateTensor<int64>(TensorShape({}), {1}), |
| /*drop_remainder*/ |
| CreateTensor<bool>(TensorShape({}), {true}), |
| /*expected_outputs*/ {}, |
| /*expected_output_dtypes*/ {DT_VARIANT}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ 0, |
| /*breakpoints*/ {0, 1, 9}}; |
| } |
| |
| // Test case 5: size=2, shift=8, stride=1, drop_remainder=false. |
| TestCase TestCase5() { |
| return {/*range_data_param*/ {0, 7, 1}, |
| /*size*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*shift*/ CreateTensor<int64>(TensorShape({}), {8}), |
| /*stride*/ CreateTensor<int64>(TensorShape({}), {1}), |
| /*drop_remainder*/ |
| CreateTensor<bool>(TensorShape({}), {false}), |
| /*expected_outputs*/ |
| {{CreateTensor<int64>(TensorShape({}), {0}), |
| CreateTensor<int64>(TensorShape({}), {1})}}, |
| /*expected_output_dtypes*/ {DT_VARIANT}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ 1, |
| /*breakpoints*/ {0, 1, 9}}; |
| } |
| |
| // Test case 6: size=2, shift=8, stride=1, drop_remainder=true. |
| TestCase TestCase6() { |
| return {/*range_data_param*/ {0, 7, 1}, |
| /*size*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*shift*/ CreateTensor<int64>(TensorShape({}), {8}), |
| /*stride*/ CreateTensor<int64>(TensorShape({}), {1}), |
| /*drop_remainder*/ |
| CreateTensor<bool>(TensorShape({}), {true}), |
| /*expected_outputs*/ |
| {{CreateTensor<int64>(TensorShape({}), {0}), |
| CreateTensor<int64>(TensorShape({}), {1})}}, |
| /*expected_output_dtypes*/ {DT_VARIANT}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ 1, |
| /*breakpoints*/ {0, 1, 9}}; |
| } |
| |
| // Test case 7: size=2, shift=2, stride=8, drop_remainder=false. |
| TestCase TestCase7() { |
| return {/*range_data_param*/ {0, 7, 1}, |
| /*size*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*shift*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*stride*/ CreateTensor<int64>(TensorShape({}), {8}), |
| /*drop_remainder*/ |
| CreateTensor<bool>(TensorShape({}), {false}), |
| /*expected_outputs*/ |
| {{CreateTensor<int64>(TensorShape({}), {0})}, |
| {CreateTensor<int64>(TensorShape({}), {2})}, |
| {CreateTensor<int64>(TensorShape({}), {4})}, |
| {CreateTensor<int64>(TensorShape({}), {6})}}, |
| /*expected_output_dtypes*/ {DT_VARIANT}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ 4, |
| /*breakpoints*/ {0, 1, 9}}; |
| } |
| |
| // Test case 8: size=2, shift=2, stride=8, drop_remainder=true. |
| TestCase TestCase8() { |
| return {/*range_data_param*/ {0, 7, 1}, |
| /*size*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*shift*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*stride*/ CreateTensor<int64>(TensorShape({}), {8}), |
| /*drop_remainder*/ |
| CreateTensor<bool>(TensorShape({}), {true}), |
| /*expected_outputs*/ {}, |
| /*expected_output_dtypes*/ {DT_VARIANT}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ 0, |
| /*breakpoints*/ {0, 1, 9}}; |
| } |
| |
| // Test case 9: size=4, shift=2, stride=2, drop_remainder=true. |
| TestCase TestCase9() { |
| return {/*range_data_param*/ {0, 7, 1}, |
| /*size*/ CreateTensor<int64>(TensorShape({}), {4}), |
| /*shift*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*stride*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*drop_remainder*/ |
| CreateTensor<bool>(TensorShape({}), {true}), |
| /*expected_outputs*/ |
| {{CreateTensor<int64>(TensorShape({}), {0}), |
| CreateTensor<int64>(TensorShape({}), {2}), |
| CreateTensor<int64>(TensorShape({}), {4}), |
| CreateTensor<int64>(TensorShape({}), {6})}}, |
| /*expected_output_dtypes*/ {DT_VARIANT}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ 1, |
| /*breakpoints*/ {0, 1, 9}}; |
| } |
| |
| // Test case 10: size=5, shift=2, stride=2, drop_remainder=true. |
| TestCase TestCase10() { |
| return {/*range_data_param*/ {0, 7, 1}, |
| /*size*/ CreateTensor<int64>(TensorShape({}), {5}), |
| /*shift*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*stride*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*drop_remainder*/ |
| CreateTensor<bool>(TensorShape({}), {true}), |
| /*expected_outputs*/ {}, |
| /*expected_output_dtypes*/ {DT_VARIANT}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ 0, |
| /*breakpoints*/ {0, 1, 9}}; |
| } |
| |
| // Test case 11: size=0, shift=2, stride=2, drop_remainder=true. |
| TestCase InvalidWindowSizeTestCase() { |
| return {/*range_data_param*/ {0, 7, 1}, |
| /*size*/ CreateTensor<int64>(TensorShape({}), {0}), |
| /*shift*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*stride*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*drop_remainder*/ |
| CreateTensor<bool>(TensorShape({}), {true}), |
| /*expected_outputs*/ {}, |
| /*expected_output_dtypes*/ {DT_VARIANT}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ 0, |
| /*breakpoints*/ {0, 1, 9}}; |
| } |
| |
| // Test case 12: size=2, shift=0, stride=2, drop_remainder=true. |
| TestCase InvalidWindowShiftTestCase() { |
| return {/*range_data_param*/ {0, 7, 1}, |
| /*size*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*shift*/ CreateTensor<int64>(TensorShape({}), {0}), |
| /*stride*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*drop_remainder*/ |
| CreateTensor<bool>(TensorShape({}), {true}), |
| /*expected_outputs*/ {}, |
| /*expected_output_dtypes*/ {DT_VARIANT}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ 0, |
| /*breakpoints*/ {0, 1, 9}}; |
| } |
| |
| // Test case 13: size=2, shift=2, stride=0, drop_remainder=true. |
| TestCase InvalidWindowStrideTestCase() { |
| return {/*range_data_param*/ {0, 7, 1}, |
| /*size*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*shift*/ CreateTensor<int64>(TensorShape({}), {2}), |
| /*stride*/ CreateTensor<int64>(TensorShape({}), {0}), |
| /*drop_remainder*/ |
| CreateTensor<bool>(TensorShape({}), {true}), |
| /*expected_outputs*/ {}, |
| /*expected_output_dtypes*/ {DT_VARIANT}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ 0, |
| /*breakpoints*/ {0, 1, 9}}; |
| } |
| |
| class ParameterizedWindowDatasetOpTest |
| : public WindowDatasetOpTest, |
| public ::testing::WithParamInterface<TestCase> {}; |
| |
| TEST_P(ParameterizedWindowDatasetOpTest, GetNext) { |
| int thread_num = 2, cpu_num = 2; |
| TestCase test_case = GetParam(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime({}, cpu_num)); |
| |
| std::unique_ptr<OpKernel> window_dataset_kernel; |
| TF_ASSERT_OK(CreateWindowDatasetKernel(test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, |
| &window_dataset_kernel)); |
| |
| DatasetBase* range_dataset; |
| TF_ASSERT_OK(CreateRangeDataset<int64>( |
| test_case.range_data_param.start, test_case.range_data_param.end, |
| test_case.range_data_param.step, "range", &range_dataset)); |
| Tensor range_dataset_tensor(DT_VARIANT, TensorShape({})); |
| TF_ASSERT_OK( |
| StoreDatasetInVariantTensor(range_dataset, &range_dataset_tensor)); |
| Tensor size = test_case.size; |
| Tensor shift = test_case.shift; |
| Tensor stride = test_case.stride; |
| Tensor drop_remainder = test_case.drop_remainder; |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&range_dataset_tensor), TensorValue(&size), |
| TensorValue(&shift), TensorValue(&stride), |
| TensorValue(&drop_remainder)}); |
| |
| std::unique_ptr<OpKernelContext> window_dataset_op_ctx; |
| TF_ASSERT_OK(CreateWindowDatasetContext(window_dataset_kernel.get(), &inputs, |
| &window_dataset_op_ctx)); |
| DatasetBase* dataset; |
| TF_ASSERT_OK(CreateDataset(window_dataset_kernel.get(), |
| window_dataset_op_ctx.get(), &dataset)); |
| core::ScopedUnref scoped_unref_dataset(dataset); |
| |
| std::unique_ptr<IteratorContext> iterator_ctx; |
| TF_ASSERT_OK( |
| CreateIteratorContext(window_dataset_op_ctx.get(), &iterator_ctx)); |
| std::unique_ptr<IteratorBase> iterator; |
| TF_ASSERT_OK( |
| dataset->MakeIterator(iterator_ctx.get(), "Iterator", &iterator)); |
| |
| bool end_of_sequence = false; |
| auto expected_outputs_it = test_case.expected_outputs.begin(); |
| while (!end_of_sequence) { |
| // Owns the window_datasets, which are stored as the variant tensors in the |
| // vector. |
| std::vector<Tensor> out_tensors; |
| TF_EXPECT_OK( |
| iterator->GetNext(iterator_ctx.get(), &out_tensors, &end_of_sequence)); |
| if (!end_of_sequence) { |
| for (const auto& window_dataset_tensor : out_tensors) { |
| // Not owned. |
| DatasetBase* window_dataset; |
| TF_ASSERT_OK(GetDatasetFromVariantTensor(window_dataset_tensor, |
| &window_dataset)); |
| std::unique_ptr<IteratorBase> window_dataset_iterator; |
| TF_ASSERT_OK(window_dataset->MakeIterator( |
| iterator_ctx.get(), "Iterator", &window_dataset_iterator)); |
| bool end_of_window_dataset = false; |
| std::vector<Tensor> window_elements; |
| // Fetches all the elements in window_dataset. |
| while (!end_of_window_dataset) { |
| std::vector<Tensor> next_element; |
| TF_EXPECT_OK(window_dataset_iterator->GetNext( |
| iterator_ctx.get(), &next_element, &end_of_window_dataset)); |
| window_elements.insert(window_elements.end(), next_element.begin(), |
| next_element.end()); |
| } |
| EXPECT_LT(expected_outputs_it, test_case.expected_outputs.end()); |
| TF_EXPECT_OK(ExpectEqual(window_elements, *expected_outputs_it, false)); |
| expected_outputs_it++; |
| } |
| } |
| } |
| EXPECT_EQ(expected_outputs_it, test_case.expected_outputs.end()); |
| } |
| |
| TEST_F(WindowDatasetOpTest, DatasetNodeName) { |
| int thread_num = 2, cpu_num = 2; |
| TestCase test_case = TestCase1(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime({}, cpu_num)); |
| |
| std::unique_ptr<OpKernel> window_dataset_kernel; |
| TF_ASSERT_OK(CreateWindowDatasetKernel(test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, |
| &window_dataset_kernel)); |
| |
| DatasetBase* range_dataset; |
| TF_ASSERT_OK(CreateRangeDataset<int64>( |
| test_case.range_data_param.start, test_case.range_data_param.end, |
| test_case.range_data_param.step, "range", &range_dataset)); |
| Tensor range_dataset_tensor(DT_VARIANT, TensorShape({})); |
| TF_ASSERT_OK( |
| StoreDatasetInVariantTensor(range_dataset, &range_dataset_tensor)); |
| Tensor size = test_case.size; |
| Tensor shift = test_case.shift; |
| Tensor stride = test_case.stride; |
| Tensor drop_remainder = test_case.drop_remainder; |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&range_dataset_tensor), TensorValue(&size), |
| TensorValue(&shift), TensorValue(&stride), |
| TensorValue(&drop_remainder)}); |
| |
| std::unique_ptr<OpKernelContext> window_dataset_op_ctx; |
| TF_ASSERT_OK(CreateWindowDatasetContext(window_dataset_kernel.get(), &inputs, |
| &window_dataset_op_ctx)); |
| DatasetBase* dataset; |
| TF_ASSERT_OK(CreateDataset(window_dataset_kernel.get(), |
| window_dataset_op_ctx.get(), &dataset)); |
| core::ScopedUnref scoped_unref_dataset(dataset); |
| |
| EXPECT_EQ(dataset->node_name(), kNodeName); |
| } |
| |
| TEST_F(WindowDatasetOpTest, DatasetTypeString) { |
| int thread_num = 2, cpu_num = 2; |
| TestCase test_case = TestCase1(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime({}, cpu_num)); |
| |
| std::unique_ptr<OpKernel> window_dataset_kernel; |
| TF_ASSERT_OK(CreateWindowDatasetKernel(test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, |
| &window_dataset_kernel)); |
| |
| DatasetBase* range_dataset; |
| TF_ASSERT_OK(CreateRangeDataset<int64>( |
| test_case.range_data_param.start, test_case.range_data_param.end, |
| test_case.range_data_param.step, "range", &range_dataset)); |
| Tensor range_dataset_tensor(DT_VARIANT, TensorShape({})); |
| TF_ASSERT_OK( |
| StoreDatasetInVariantTensor(range_dataset, &range_dataset_tensor)); |
| Tensor size = test_case.size; |
| Tensor shift = test_case.shift; |
| Tensor stride = test_case.stride; |
| Tensor drop_remainder = test_case.drop_remainder; |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&range_dataset_tensor), TensorValue(&size), |
| TensorValue(&shift), TensorValue(&stride), |
| TensorValue(&drop_remainder)}); |
| |
| std::unique_ptr<OpKernelContext> window_dataset_op_ctx; |
| TF_ASSERT_OK(CreateWindowDatasetContext(window_dataset_kernel.get(), &inputs, |
| &window_dataset_op_ctx)); |
| DatasetBase* dataset; |
| TF_ASSERT_OK(CreateDataset(window_dataset_kernel.get(), |
| window_dataset_op_ctx.get(), &dataset)); |
| core::ScopedUnref scoped_unref_dataset(dataset); |
| |
| EXPECT_EQ(dataset->type_string(), |
| name_utils::OpName(WindowDatasetOp::kDatasetType)); |
| } |
| |
| TEST_P(ParameterizedWindowDatasetOpTest, DatasetOutputDtypes) { |
| int thread_num = 2, cpu_num = 2; |
| TestCase test_case = GetParam(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime({}, cpu_num)); |
| |
| std::unique_ptr<OpKernel> window_dataset_kernel; |
| TF_ASSERT_OK(CreateWindowDatasetKernel(test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, |
| &window_dataset_kernel)); |
| |
| DatasetBase* range_dataset; |
| TF_ASSERT_OK(CreateRangeDataset<int64>( |
| test_case.range_data_param.start, test_case.range_data_param.end, |
| test_case.range_data_param.step, "range", &range_dataset)); |
| Tensor range_dataset_tensor(DT_VARIANT, TensorShape({})); |
| TF_ASSERT_OK( |
| StoreDatasetInVariantTensor(range_dataset, &range_dataset_tensor)); |
| Tensor size = test_case.size; |
| Tensor shift = test_case.shift; |
| Tensor stride = test_case.stride; |
| Tensor drop_remainder = test_case.drop_remainder; |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&range_dataset_tensor), TensorValue(&size), |
| TensorValue(&shift), TensorValue(&stride), |
| TensorValue(&drop_remainder)}); |
| |
| std::unique_ptr<OpKernelContext> window_dataset_op_ctx; |
| TF_ASSERT_OK(CreateWindowDatasetContext(window_dataset_kernel.get(), &inputs, |
| &window_dataset_op_ctx)); |
| DatasetBase* dataset; |
| TF_ASSERT_OK(CreateDataset(window_dataset_kernel.get(), |
| window_dataset_op_ctx.get(), &dataset)); |
| core::ScopedUnref scoped_unref_dataset(dataset); |
| |
| TF_EXPECT_OK(VerifyTypesMatch(dataset->output_dtypes(), |
| test_case.expected_output_dtypes)); |
| } |
| |
| TEST_P(ParameterizedWindowDatasetOpTest, DatasetOutputShapes) { |
| int thread_num = 2, cpu_num = 2; |
| TestCase test_case = GetParam(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime({}, cpu_num)); |
| |
| std::unique_ptr<OpKernel> window_dataset_kernel; |
| TF_ASSERT_OK(CreateWindowDatasetKernel(test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, |
| &window_dataset_kernel)); |
| |
| DatasetBase* range_dataset; |
| TF_ASSERT_OK(CreateRangeDataset<int64>( |
| test_case.range_data_param.start, test_case.range_data_param.end, |
| test_case.range_data_param.step, "range", &range_dataset)); |
| Tensor range_dataset_tensor(DT_VARIANT, TensorShape({})); |
| TF_ASSERT_OK( |
| StoreDatasetInVariantTensor(range_dataset, &range_dataset_tensor)); |
| Tensor size = test_case.size; |
| Tensor shift = test_case.shift; |
| Tensor stride = test_case.stride; |
| Tensor drop_remainder = test_case.drop_remainder; |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&range_dataset_tensor), TensorValue(&size), |
| TensorValue(&shift), TensorValue(&stride), |
| TensorValue(&drop_remainder)}); |
| |
| std::unique_ptr<OpKernelContext> window_dataset_op_ctx; |
| TF_ASSERT_OK(CreateWindowDatasetContext(window_dataset_kernel.get(), &inputs, |
| &window_dataset_op_ctx)); |
| DatasetBase* dataset; |
| TF_ASSERT_OK(CreateDataset(window_dataset_kernel.get(), |
| window_dataset_op_ctx.get(), &dataset)); |
| core::ScopedUnref scoped_unref_dataset(dataset); |
| |
| TF_EXPECT_OK(VerifyShapesCompatible(dataset->output_shapes(), |
| test_case.expected_output_shapes)); |
| } |
| |
| TEST_P(ParameterizedWindowDatasetOpTest, Cardinality) { |
| int thread_num = 2, cpu_num = 2; |
| TestCase test_case = GetParam(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime({}, cpu_num)); |
| |
| std::unique_ptr<OpKernel> window_dataset_kernel; |
| TF_ASSERT_OK(CreateWindowDatasetKernel(test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, |
| &window_dataset_kernel)); |
| |
| DatasetBase* range_dataset; |
| TF_ASSERT_OK(CreateRangeDataset<int64>( |
| test_case.range_data_param.start, test_case.range_data_param.end, |
| test_case.range_data_param.step, "range", &range_dataset)); |
| Tensor range_dataset_tensor(DT_VARIANT, TensorShape({})); |
| TF_ASSERT_OK( |
| StoreDatasetInVariantTensor(range_dataset, &range_dataset_tensor)); |
| Tensor size = test_case.size; |
| Tensor shift = test_case.shift; |
| Tensor stride = test_case.stride; |
| Tensor drop_remainder = test_case.drop_remainder; |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&range_dataset_tensor), TensorValue(&size), |
| TensorValue(&shift), TensorValue(&stride), |
| TensorValue(&drop_remainder)}); |
| |
| std::unique_ptr<OpKernelContext> window_dataset_op_ctx; |
| TF_ASSERT_OK(CreateWindowDatasetContext(window_dataset_kernel.get(), &inputs, |
| &window_dataset_op_ctx)); |
| DatasetBase* dataset; |
| TF_ASSERT_OK(CreateDataset(window_dataset_kernel.get(), |
| window_dataset_op_ctx.get(), &dataset)); |
| core::ScopedUnref scoped_unref_dataset(dataset); |
| |
| EXPECT_EQ(dataset->Cardinality(), test_case.expected_cardinality); |
| } |
| |
| TEST_P(ParameterizedWindowDatasetOpTest, IteratorOutputDtypes) { |
| int thread_num = 2, cpu_num = 2; |
| TestCase test_case = GetParam(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime({}, cpu_num)); |
| |
| std::unique_ptr<OpKernel> window_dataset_kernel; |
| TF_ASSERT_OK(CreateWindowDatasetKernel(test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, |
| &window_dataset_kernel)); |
| |
| DatasetBase* range_dataset; |
| TF_ASSERT_OK(CreateRangeDataset<int64>( |
| test_case.range_data_param.start, test_case.range_data_param.end, |
| test_case.range_data_param.step, "range", &range_dataset)); |
| Tensor range_dataset_tensor(DT_VARIANT, TensorShape({})); |
| TF_ASSERT_OK( |
| StoreDatasetInVariantTensor(range_dataset, &range_dataset_tensor)); |
| Tensor size = test_case.size; |
| Tensor shift = test_case.shift; |
| Tensor stride = test_case.stride; |
| Tensor drop_remainder = test_case.drop_remainder; |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&range_dataset_tensor), TensorValue(&size), |
| TensorValue(&shift), TensorValue(&stride), |
| TensorValue(&drop_remainder)}); |
| |
| std::unique_ptr<OpKernelContext> window_dataset_op_ctx; |
| TF_ASSERT_OK(CreateWindowDatasetContext(window_dataset_kernel.get(), &inputs, |
| &window_dataset_op_ctx)); |
| DatasetBase* dataset; |
| TF_ASSERT_OK(CreateDataset(window_dataset_kernel.get(), |
| window_dataset_op_ctx.get(), &dataset)); |
| core::ScopedUnref scoped_unref_dataset(dataset); |
| |
| std::unique_ptr<IteratorContext> iterator_ctx; |
| TF_ASSERT_OK( |
| CreateIteratorContext(window_dataset_op_ctx.get(), &iterator_ctx)); |
| std::unique_ptr<IteratorBase> iterator; |
| TF_ASSERT_OK( |
| dataset->MakeIterator(iterator_ctx.get(), "Iterator", &iterator)); |
| |
| TF_EXPECT_OK(VerifyTypesMatch(iterator->output_dtypes(), |
| test_case.expected_output_dtypes)); |
| } |
| |
| TEST_P(ParameterizedWindowDatasetOpTest, IteratorOutputShapes) { |
| int thread_num = 2, cpu_num = 2; |
| TestCase test_case = GetParam(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime({}, cpu_num)); |
| |
| std::unique_ptr<OpKernel> window_dataset_kernel; |
| TF_ASSERT_OK(CreateWindowDatasetKernel(test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, |
| &window_dataset_kernel)); |
| |
| DatasetBase* range_dataset; |
| TF_ASSERT_OK(CreateRangeDataset<int64>( |
| test_case.range_data_param.start, test_case.range_data_param.end, |
| test_case.range_data_param.step, "range", &range_dataset)); |
| Tensor range_dataset_tensor(DT_VARIANT, TensorShape({})); |
| TF_ASSERT_OK( |
| StoreDatasetInVariantTensor(range_dataset, &range_dataset_tensor)); |
| Tensor size = test_case.size; |
| Tensor shift = test_case.shift; |
| Tensor stride = test_case.stride; |
| Tensor drop_remainder = test_case.drop_remainder; |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&range_dataset_tensor), TensorValue(&size), |
| TensorValue(&shift), TensorValue(&stride), |
| TensorValue(&drop_remainder)}); |
| |
| std::unique_ptr<OpKernelContext> window_dataset_op_ctx; |
| TF_ASSERT_OK(CreateWindowDatasetContext(window_dataset_kernel.get(), &inputs, |
| &window_dataset_op_ctx)); |
| DatasetBase* dataset; |
| TF_ASSERT_OK(CreateDataset(window_dataset_kernel.get(), |
| window_dataset_op_ctx.get(), &dataset)); |
| core::ScopedUnref scoped_unref_dataset(dataset); |
| |
| std::unique_ptr<IteratorContext> iterator_ctx; |
| TF_ASSERT_OK( |
| CreateIteratorContext(window_dataset_op_ctx.get(), &iterator_ctx)); |
| std::unique_ptr<IteratorBase> iterator; |
| TF_ASSERT_OK( |
| dataset->MakeIterator(iterator_ctx.get(), "Iterator", &iterator)); |
| |
| TF_EXPECT_OK(VerifyShapesCompatible(iterator->output_shapes(), |
| test_case.expected_output_shapes)); |
| } |
| |
| TEST_F(WindowDatasetOpTest, IteratorOutputPrefix) { |
| int thread_num = 2, cpu_num = 2; |
| TestCase test_case = TestCase1(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime({}, cpu_num)); |
| |
| std::unique_ptr<OpKernel> window_dataset_kernel; |
| TF_ASSERT_OK(CreateWindowDatasetKernel(test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, |
| &window_dataset_kernel)); |
| |
| DatasetBase* range_dataset; |
| TF_ASSERT_OK(CreateRangeDataset<int64>( |
| test_case.range_data_param.start, test_case.range_data_param.end, |
| test_case.range_data_param.step, "range", &range_dataset)); |
| Tensor range_dataset_tensor(DT_VARIANT, TensorShape({})); |
| TF_ASSERT_OK( |
| StoreDatasetInVariantTensor(range_dataset, &range_dataset_tensor)); |
| Tensor size = test_case.size; |
| Tensor shift = test_case.shift; |
| Tensor stride = test_case.stride; |
| Tensor drop_remainder = test_case.drop_remainder; |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&range_dataset_tensor), TensorValue(&size), |
| TensorValue(&shift), TensorValue(&stride), |
| TensorValue(&drop_remainder)}); |
| |
| std::unique_ptr<OpKernelContext> window_dataset_op_ctx; |
| TF_ASSERT_OK(CreateWindowDatasetContext(window_dataset_kernel.get(), &inputs, |
| &window_dataset_op_ctx)); |
| DatasetBase* dataset; |
| TF_ASSERT_OK(CreateDataset(window_dataset_kernel.get(), |
| window_dataset_op_ctx.get(), &dataset)); |
| core::ScopedUnref scoped_unref_dataset(dataset); |
| |
| std::unique_ptr<IteratorContext> iterator_ctx; |
| TF_ASSERT_OK( |
| CreateIteratorContext(window_dataset_op_ctx.get(), &iterator_ctx)); |
| std::unique_ptr<IteratorBase> iterator; |
| TF_ASSERT_OK( |
| dataset->MakeIterator(iterator_ctx.get(), "Iterator", &iterator)); |
| |
| EXPECT_EQ(iterator->prefix(), name_utils::IteratorPrefix( |
| WindowDatasetOp::kDatasetType, "Iterator")); |
| } |
| |
| TEST_P(ParameterizedWindowDatasetOpTest, Roundtrip) { |
| int thread_num = 2, cpu_num = 2; |
| TestCase test_case = GetParam(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime({}, cpu_num)); |
| |
| std::unique_ptr<OpKernel> window_dataset_kernel; |
| TF_ASSERT_OK(CreateWindowDatasetKernel(test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, |
| &window_dataset_kernel)); |
| |
| DatasetBase* range_dataset; |
| TF_ASSERT_OK(CreateRangeDataset<int64>( |
| test_case.range_data_param.start, test_case.range_data_param.end, |
| test_case.range_data_param.step, "range", &range_dataset)); |
| Tensor range_dataset_tensor(DT_VARIANT, TensorShape({})); |
| TF_ASSERT_OK( |
| StoreDatasetInVariantTensor(range_dataset, &range_dataset_tensor)); |
| Tensor size = test_case.size; |
| Tensor shift = test_case.shift; |
| Tensor stride = test_case.stride; |
| Tensor drop_remainder = test_case.drop_remainder; |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&range_dataset_tensor), TensorValue(&size), |
| TensorValue(&shift), TensorValue(&stride), |
| TensorValue(&drop_remainder)}); |
| |
| std::unique_ptr<OpKernelContext> window_dataset_op_ctx; |
| TF_ASSERT_OK(CreateWindowDatasetContext(window_dataset_kernel.get(), &inputs, |
| &window_dataset_op_ctx)); |
| DatasetBase* dataset; |
| TF_ASSERT_OK(CreateDataset(window_dataset_kernel.get(), |
| window_dataset_op_ctx.get(), &dataset)); |
| core::ScopedUnref scoped_unref_dataset(dataset); |
| |
| std::unique_ptr<IteratorContext> iterator_ctx; |
| TF_ASSERT_OK( |
| CreateIteratorContext(window_dataset_op_ctx.get(), &iterator_ctx)); |
| std::unique_ptr<IteratorBase> iterator; |
| TF_ASSERT_OK( |
| dataset->MakeIterator(iterator_ctx.get(), "Iterator", &iterator)); |
| |
| std::unique_ptr<SerializationContext> serialization_ctx; |
| TF_ASSERT_OK(CreateSerializationContext(&serialization_ctx)); |
| |
| bool end_of_sequence = false; |
| auto expected_outputs_it = test_case.expected_outputs.begin(); |
| int cur_iteration = 0; |
| for (int breakpoint : test_case.breakpoints) { |
| VariantTensorData data; |
| VariantTensorDataWriter writer(&data); |
| TF_EXPECT_OK(iterator->Save(serialization_ctx.get(), &writer)); |
| TF_EXPECT_OK(writer.Flush()); |
| VariantTensorDataReader reader(&data); |
| TF_EXPECT_OK(RestoreIterator(iterator_ctx.get(), &reader, "Iterator", |
| *dataset, &iterator)); |
| while (cur_iteration <= breakpoint) { |
| while (!end_of_sequence) { |
| // Owns the datasets, which are stored as the variant tensors in the |
| // vector. |
| std::vector<Tensor> out_tensors; |
| TF_EXPECT_OK(iterator->GetNext(iterator_ctx.get(), &out_tensors, |
| &end_of_sequence)); |
| if (!end_of_sequence) { |
| for (const auto& window_dataset_tensor : out_tensors) { |
| // Not owned. |
| DatasetBase* window_dataset; |
| TF_ASSERT_OK(GetDatasetFromVariantTensor(window_dataset_tensor, |
| &window_dataset)); |
| std::unique_ptr<IteratorBase> window_dataset_iterator; |
| TF_ASSERT_OK(window_dataset->MakeIterator( |
| iterator_ctx.get(), "Iterator", &window_dataset_iterator)); |
| bool end_of_window_dataset = false; |
| std::vector<Tensor> window_elements; |
| while (!end_of_window_dataset) { |
| std::vector<Tensor> next_element; |
| TF_EXPECT_OK(window_dataset_iterator->GetNext( |
| iterator_ctx.get(), &next_element, &end_of_window_dataset)); |
| window_elements.insert(window_elements.end(), |
| next_element.begin(), next_element.end()); |
| } |
| EXPECT_LT(expected_outputs_it, test_case.expected_outputs.end()); |
| TF_EXPECT_OK( |
| ExpectEqual(window_elements, *expected_outputs_it, false)); |
| expected_outputs_it++; |
| } |
| } |
| } |
| cur_iteration++; |
| } |
| } |
| EXPECT_EQ(expected_outputs_it, test_case.expected_outputs.end()); |
| } |
| |
| INSTANTIATE_TEST_SUITE_P( |
| WindowDatasetOpTest, ParameterizedWindowDatasetOpTest, |
| ::testing::ValuesIn(std::vector<TestCase>( |
| {TestCase1(), TestCase2(), TestCase3(), TestCase4(), TestCase5(), |
| TestCase6(), TestCase7(), TestCase8(), TestCase9(), TestCase10()}))); |
| |
| TEST_F(WindowDatasetOpTest, InvalidArguments) { |
| int thread_num = 2, cpu_num = 2; |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime({}, cpu_num)); |
| std::vector<TestCase> test_cases({InvalidWindowSizeTestCase(), |
| InvalidWindowShiftTestCase(), |
| InvalidWindowStrideTestCase()}); |
| for (const auto& test_case : test_cases) { |
| std::unique_ptr<OpKernel> window_dataset_kernel; |
| TF_ASSERT_OK(CreateWindowDatasetKernel(test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, |
| &window_dataset_kernel)); |
| DatasetBase* range_dataset; |
| TF_ASSERT_OK(CreateRangeDataset<int64>( |
| test_case.range_data_param.start, test_case.range_data_param.end, |
| test_case.range_data_param.step, "range", &range_dataset)); |
| Tensor range_dataset_tensor(DT_VARIANT, TensorShape({})); |
| TF_ASSERT_OK( |
| StoreDatasetInVariantTensor(range_dataset, &range_dataset_tensor)); |
| Tensor size = test_case.size; |
| Tensor shift = test_case.shift; |
| Tensor stride = test_case.stride; |
| Tensor drop_remainder = test_case.drop_remainder; |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&range_dataset_tensor), TensorValue(&size), |
| TensorValue(&shift), TensorValue(&stride), |
| TensorValue(&drop_remainder)}); |
| |
| std::unique_ptr<OpKernelContext> window_dataset_op_ctx; |
| TF_ASSERT_OK(CreateWindowDatasetContext(window_dataset_kernel.get(), |
| &inputs, &window_dataset_op_ctx)); |
| DatasetBase* dataset; |
| EXPECT_EQ(CreateDataset(window_dataset_kernel.get(), |
| window_dataset_op_ctx.get(), &dataset) |
| .code(), |
| tensorflow::error::INVALID_ARGUMENT); |
| } |
| } |
| |
| } // namespace |
| } // namespace data |
| } // namespace tensorflow |