| /* 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/filter_dataset_op.h" |
| |
| #include "tensorflow/core/kernels/data/dataset_test_base.h" |
| |
| namespace tensorflow { |
| namespace data { |
| namespace { |
| |
| constexpr char kNodeName[] = "filter_dataset"; |
| |
| class FilterDatasetOpTest : public DatasetOpsTestBase { |
| protected: |
| // Creates `TensorSliceDataset` variant tensor from the input vector of |
| // tensors. |
| Status CreateTensorSliceDatasetTensor( |
| std::vector<Tensor> *const tensor_vector, Tensor *dataset_tensor) { |
| DatasetBase *tensor_slice_dataset; |
| TF_RETURN_IF_ERROR(CreateTensorSliceDataset( |
| "tensor_slice_node", tensor_vector, &tensor_slice_dataset)); |
| TF_RETURN_IF_ERROR( |
| StoreDatasetInVariantTensor(tensor_slice_dataset, dataset_tensor)); |
| return Status::OK(); |
| } |
| |
| // Creates a new `FilterDataset` op kernel |
| Status CreateFilterDatasetKernel( |
| const FunctionDefHelper::AttrValueWrapper &func, |
| 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(FilterDatasetOp::kDatasetType), |
| {FilterDatasetOp::kInputDataset}, |
| {{FilterDatasetOp::kPredicate, func}, |
| {FilterDatasetOp::kTarguments, {}}, |
| {FilterDatasetOp::kOutputTypes, output_types}, |
| {FilterDatasetOp::kOutputShapes, output_shapes}}); |
| TF_RETURN_IF_ERROR(CreateOpKernel(node_def, op_kernel)); |
| return Status::OK(); |
| } |
| |
| // Creates a new `FilterDataset` op kernel context. |
| Status CreateFilterDatasetContext( |
| 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 TestCase { |
| std::vector<Tensor> input_tensors; |
| FunctionDefHelper::AttrValueWrapper func; |
| std::vector<FunctionDef> func_lib; |
| std::vector<Tensor> expected_outputs; |
| DataTypeVector expected_output_dtypes; |
| std::vector<PartialTensorShape> expected_output_shapes; |
| int64 expected_cardinality; |
| std::vector<int> breakpoints; |
| }; |
| |
| template <typename T> |
| std::vector<Tensor> ConvertToTensorVec(std::vector<T> values) { |
| std::vector<Tensor> tensors; |
| tensors.reserve(values.size()); |
| for (auto &value : values) { |
| tensors.emplace_back(CreateTensor<T>(TensorShape({1}), {value})); |
| } |
| return tensors; |
| } |
| |
| // Test case 1: norm case. |
| TestCase TestCase1() { |
| return {/*input_tensors*/ |
| {CreateTensor<int64>(TensorShape{9, 1}, {0, 0, 0, 3, 4, 5, 6, 7, 8})}, |
| /*func*/ FunctionDefHelper::FunctionRef("IsZero", {{"T", DT_INT64}}), |
| /*func_lib*/ {test::function::IsZero()}, |
| /*expected_outputs*/ |
| ConvertToTensorVec<int64>({0, 0, 0}), |
| /*expected_output_dtypes*/ {DT_INT64}, |
| /*expected_output_shapes*/ {PartialTensorShape({1})}, |
| /*expected_cardinality*/ kUnknownCardinality, |
| /*breakpoints*/ {0, 2, 6}}; |
| } |
| |
| // Test case 2: the input dataset has no outputs. |
| TestCase TestCase2() { |
| return {/*input_tensors*/ |
| {CreateTensor<int64>(TensorShape{0}, {})}, |
| /*func*/ FunctionDefHelper::FunctionRef("IsZero", {{"T", DT_INT64}}), |
| /*func_lib*/ {test::function::IsZero()}, |
| /*expected_outputs*/ |
| ConvertToTensorVec<int64>({}), |
| /*expected_output_dtypes*/ {DT_INT64}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ kUnknownCardinality, |
| /*breakpoints*/ {0, 2, 6}}; |
| } |
| |
| // Test case 3: the filter function returns two outputs. |
| TestCase InvalidFuncTestCase1() { |
| return {/*input_tensors*/ |
| {CreateTensor<int64>(TensorShape{3, 3}, {0, 0, 0, 3, 4, 5, 6, 7, 8})}, |
| /*func*/ |
| FunctionDefHelper::FunctionRef( |
| "GetUnique", {{"T", DT_INT64}, {"out_idx", DT_INT32}}), |
| /*func_lib*/ {test::function::Unique()}, |
| /*expected_outputs*/ |
| ConvertToTensorVec<int64>({}), |
| /*expected_output_dtypes*/ {DT_INT64}, |
| /*expected_output_shapes*/ {PartialTensorShape({3, 1})}, |
| /*expected_cardinality*/ kUnknownCardinality, |
| /*breakpoints*/ {}}; |
| } |
| |
| // Test case 4: the filter function returns a 1-D bool tensor. |
| TestCase InvalidFuncTestCase2() { |
| return { |
| /*input_tensors*/ |
| {CreateTensor<int64>(TensorShape{3, 3, 1}, {0, 0, 0, 3, 4, 5, 6, 7, 8})}, |
| /*func*/ FunctionDefHelper::FunctionRef("IsZero", {{"T", DT_INT64}}), |
| /*func_lib*/ {test::function::IsZero()}, |
| /*expected_outputs*/ |
| ConvertToTensorVec<int64>({}), |
| /*expected_output_dtypes*/ {DT_INT64}, |
| /*expected_output_shapes*/ {PartialTensorShape({3, 1})}, |
| /*expected_cardinality*/ kUnknownCardinality, |
| /*breakpoints*/ {}}; |
| } |
| |
| // Test case 5: the filter function returns a scalar int64 tensor. |
| TestCase InvalidFuncTestCase3() { |
| return {/*input_tensors*/ |
| {CreateTensor<int64>(TensorShape{9}, {0, 0, 0, 3, 4, 5, 6, 7, 8})}, |
| /*func*/ FunctionDefHelper::FunctionRef("NonZero", {{"T", DT_INT64}}), |
| /*func_lib*/ {test::function::NonZero()}, |
| /*expected_outputs*/ |
| ConvertToTensorVec<int64>({}), |
| /*expected_output_dtypes*/ {DT_INT64}, |
| /*expected_output_shapes*/ {PartialTensorShape({})}, |
| /*expected_cardinality*/ kUnknownCardinality, |
| /*breakpoints*/ {}}; |
| } |
| |
| class ParameterizedFilterDatasetOpTest |
| : public FilterDatasetOpTest, |
| public ::testing::WithParamInterface<TestCase> {}; |
| |
| TEST_P(ParameterizedFilterDatasetOpTest, GetNext) { |
| int thread_num = 2, cpu_num = 2; |
| const TestCase &test_case = GetParam(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime(test_case.func_lib, cpu_num)); |
| |
| std::unique_ptr<OpKernel> filter_dataset_kernel; |
| TF_ASSERT_OK(CreateFilterDatasetKernel( |
| test_case.func, test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, &filter_dataset_kernel)); |
| |
| Tensor tensor_slice_dataset_tensor(DT_VARIANT, TensorShape({})); |
| std::vector<Tensor> inputs_for_tensor_slice_dataset = test_case.input_tensors; |
| TF_ASSERT_OK(CreateTensorSliceDatasetTensor(&inputs_for_tensor_slice_dataset, |
| &tensor_slice_dataset_tensor)); |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&tensor_slice_dataset_tensor)}); |
| std::unique_ptr<OpKernelContext> filter_dataset_context; |
| TF_ASSERT_OK(CreateFilterDatasetContext(filter_dataset_kernel.get(), &inputs, |
| &filter_dataset_context)); |
| DatasetBase *filter_dataset; |
| TF_ASSERT_OK(CreateDataset(filter_dataset_kernel.get(), |
| filter_dataset_context.get(), &filter_dataset)); |
| core::ScopedUnref scoped_unref(filter_dataset); |
| |
| std::unique_ptr<IteratorContext> iterator_ctx; |
| TF_ASSERT_OK( |
| CreateIteratorContext(filter_dataset_context.get(), &iterator_ctx)); |
| std::unique_ptr<IteratorBase> iterator; |
| TF_ASSERT_OK( |
| filter_dataset->MakeIterator(iterator_ctx.get(), "Iterator", &iterator)); |
| bool end_of_sequence = false; |
| std::vector<Tensor> out_tensors; |
| while (!end_of_sequence) { |
| std::vector<Tensor> next; |
| TF_EXPECT_OK( |
| iterator->GetNext(iterator_ctx.get(), &next, &end_of_sequence)); |
| out_tensors.insert(out_tensors.end(), next.begin(), next.end()); |
| } |
| |
| TF_EXPECT_OK(ExpectEqual(out_tensors, test_case.expected_outputs, |
| /*compare_order*/ true)); |
| } |
| |
| TEST_F(FilterDatasetOpTest, DatasetNodeName) { |
| int thread_num = 2, cpu_num = 2; |
| const TestCase &test_case = TestCase1(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime(test_case.func_lib, cpu_num)); |
| |
| std::unique_ptr<OpKernel> filter_dataset_kernel; |
| TF_ASSERT_OK(CreateFilterDatasetKernel( |
| test_case.func, test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, &filter_dataset_kernel)); |
| |
| Tensor tensor_slice_dataset_tensor(DT_VARIANT, TensorShape({})); |
| std::vector<Tensor> inputs_for_tensor_slice_dataset = test_case.input_tensors; |
| TF_ASSERT_OK(CreateTensorSliceDatasetTensor(&inputs_for_tensor_slice_dataset, |
| &tensor_slice_dataset_tensor)); |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&tensor_slice_dataset_tensor)}); |
| std::unique_ptr<OpKernelContext> filter_dataset_context; |
| TF_ASSERT_OK(CreateFilterDatasetContext(filter_dataset_kernel.get(), &inputs, |
| &filter_dataset_context)); |
| DatasetBase *filter_dataset; |
| TF_ASSERT_OK(CreateDataset(filter_dataset_kernel.get(), |
| filter_dataset_context.get(), &filter_dataset)); |
| core::ScopedUnref scoped_unref(filter_dataset); |
| |
| EXPECT_EQ(filter_dataset->node_name(), kNodeName); |
| } |
| |
| TEST_F(FilterDatasetOpTest, DatasetTypeString) { |
| int thread_num = 2, cpu_num = 2; |
| const TestCase &test_case = TestCase1(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime(test_case.func_lib, cpu_num)); |
| |
| std::unique_ptr<OpKernel> filter_dataset_kernel; |
| TF_ASSERT_OK(CreateFilterDatasetKernel( |
| test_case.func, test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, &filter_dataset_kernel)); |
| |
| Tensor tensor_slice_dataset_tensor(DT_VARIANT, TensorShape({})); |
| std::vector<Tensor> inputs_for_tensor_slice_dataset = test_case.input_tensors; |
| TF_ASSERT_OK(CreateTensorSliceDatasetTensor(&inputs_for_tensor_slice_dataset, |
| &tensor_slice_dataset_tensor)); |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&tensor_slice_dataset_tensor)}); |
| std::unique_ptr<OpKernelContext> filter_dataset_context; |
| TF_ASSERT_OK(CreateFilterDatasetContext(filter_dataset_kernel.get(), &inputs, |
| &filter_dataset_context)); |
| DatasetBase *filter_dataset; |
| TF_ASSERT_OK(CreateDataset(filter_dataset_kernel.get(), |
| filter_dataset_context.get(), &filter_dataset)); |
| core::ScopedUnref scoped_unref(filter_dataset); |
| |
| EXPECT_EQ(filter_dataset->type_string(), |
| name_utils::OpName(FilterDatasetOp::kDatasetType)); |
| } |
| |
| TEST_P(ParameterizedFilterDatasetOpTest, DatasetOutputDtypes) { |
| int thread_num = 2, cpu_num = 2; |
| const TestCase &test_case = GetParam(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime(test_case.func_lib, cpu_num)); |
| |
| std::unique_ptr<OpKernel> filter_dataset_kernel; |
| TF_ASSERT_OK(CreateFilterDatasetKernel( |
| test_case.func, test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, &filter_dataset_kernel)); |
| |
| Tensor tensor_slice_dataset_tensor(DT_VARIANT, TensorShape({})); |
| std::vector<Tensor> inputs_for_tensor_slice_dataset = test_case.input_tensors; |
| TF_ASSERT_OK(CreateTensorSliceDatasetTensor(&inputs_for_tensor_slice_dataset, |
| &tensor_slice_dataset_tensor)); |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&tensor_slice_dataset_tensor)}); |
| std::unique_ptr<OpKernelContext> filter_dataset_context; |
| TF_ASSERT_OK(CreateFilterDatasetContext(filter_dataset_kernel.get(), &inputs, |
| &filter_dataset_context)); |
| DatasetBase *filter_dataset; |
| TF_ASSERT_OK(CreateDataset(filter_dataset_kernel.get(), |
| filter_dataset_context.get(), &filter_dataset)); |
| core::ScopedUnref scoped_unref(filter_dataset); |
| |
| TF_EXPECT_OK(VerifyTypesMatch(filter_dataset->output_dtypes(), |
| test_case.expected_output_dtypes)); |
| } |
| |
| TEST_P(ParameterizedFilterDatasetOpTest, DatasetOutputShapes) { |
| int thread_num = 2, cpu_num = 2; |
| const TestCase &test_case = GetParam(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime(test_case.func_lib, cpu_num)); |
| |
| std::unique_ptr<OpKernel> filter_dataset_kernel; |
| TF_ASSERT_OK(CreateFilterDatasetKernel( |
| test_case.func, test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, &filter_dataset_kernel)); |
| |
| Tensor tensor_slice_dataset_tensor(DT_VARIANT, TensorShape({})); |
| std::vector<Tensor> inputs_for_tensor_slice_dataset = test_case.input_tensors; |
| TF_ASSERT_OK(CreateTensorSliceDatasetTensor(&inputs_for_tensor_slice_dataset, |
| &tensor_slice_dataset_tensor)); |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&tensor_slice_dataset_tensor)}); |
| std::unique_ptr<OpKernelContext> filter_dataset_context; |
| TF_ASSERT_OK(CreateFilterDatasetContext(filter_dataset_kernel.get(), &inputs, |
| &filter_dataset_context)); |
| DatasetBase *filter_dataset; |
| TF_ASSERT_OK(CreateDataset(filter_dataset_kernel.get(), |
| filter_dataset_context.get(), &filter_dataset)); |
| core::ScopedUnref scoped_unref(filter_dataset); |
| |
| TF_EXPECT_OK(VerifyShapesCompatible(filter_dataset->output_shapes(), |
| test_case.expected_output_shapes)); |
| } |
| |
| TEST_P(ParameterizedFilterDatasetOpTest, Cardinality) { |
| int thread_num = 2, cpu_num = 2; |
| const TestCase &test_case = GetParam(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime(test_case.func_lib, cpu_num)); |
| |
| std::unique_ptr<OpKernel> filter_dataset_kernel; |
| TF_ASSERT_OK(CreateFilterDatasetKernel( |
| test_case.func, test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, &filter_dataset_kernel)); |
| |
| Tensor tensor_slice_dataset_tensor(DT_VARIANT, TensorShape({})); |
| std::vector<Tensor> inputs_for_tensor_slice_dataset = test_case.input_tensors; |
| TF_ASSERT_OK(CreateTensorSliceDatasetTensor(&inputs_for_tensor_slice_dataset, |
| &tensor_slice_dataset_tensor)); |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&tensor_slice_dataset_tensor)}); |
| std::unique_ptr<OpKernelContext> filter_dataset_context; |
| TF_ASSERT_OK(CreateFilterDatasetContext(filter_dataset_kernel.get(), &inputs, |
| &filter_dataset_context)); |
| DatasetBase *filter_dataset; |
| TF_ASSERT_OK(CreateDataset(filter_dataset_kernel.get(), |
| filter_dataset_context.get(), &filter_dataset)); |
| core::ScopedUnref scoped_unref(filter_dataset); |
| |
| EXPECT_EQ(filter_dataset->Cardinality(), test_case.expected_cardinality); |
| } |
| |
| TEST_P(ParameterizedFilterDatasetOpTest, IteratorOutputDtypes) { |
| int thread_num = 2, cpu_num = 2; |
| const TestCase &test_case = GetParam(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime(test_case.func_lib, cpu_num)); |
| |
| std::unique_ptr<OpKernel> filter_dataset_kernel; |
| TF_ASSERT_OK(CreateFilterDatasetKernel( |
| test_case.func, test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, &filter_dataset_kernel)); |
| |
| Tensor tensor_slice_dataset_tensor(DT_VARIANT, TensorShape({})); |
| std::vector<Tensor> inputs_for_tensor_slice_dataset = test_case.input_tensors; |
| TF_ASSERT_OK(CreateTensorSliceDatasetTensor(&inputs_for_tensor_slice_dataset, |
| &tensor_slice_dataset_tensor)); |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&tensor_slice_dataset_tensor)}); |
| std::unique_ptr<OpKernelContext> filter_dataset_context; |
| TF_ASSERT_OK(CreateFilterDatasetContext(filter_dataset_kernel.get(), &inputs, |
| &filter_dataset_context)); |
| DatasetBase *filter_dataset; |
| TF_ASSERT_OK(CreateDataset(filter_dataset_kernel.get(), |
| filter_dataset_context.get(), &filter_dataset)); |
| core::ScopedUnref scoped_unref(filter_dataset); |
| |
| std::unique_ptr<IteratorContext> iterator_ctx; |
| TF_ASSERT_OK( |
| CreateIteratorContext(filter_dataset_context.get(), &iterator_ctx)); |
| std::unique_ptr<IteratorBase> iterator; |
| TF_ASSERT_OK( |
| filter_dataset->MakeIterator(iterator_ctx.get(), "Iterator", &iterator)); |
| |
| TF_EXPECT_OK(VerifyTypesMatch(iterator->output_dtypes(), |
| test_case.expected_output_dtypes)); |
| } |
| |
| TEST_P(ParameterizedFilterDatasetOpTest, IteratorOutputShapes) { |
| int thread_num = 2, cpu_num = 2; |
| const TestCase &test_case = GetParam(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime(test_case.func_lib, cpu_num)); |
| |
| std::unique_ptr<OpKernel> filter_dataset_kernel; |
| TF_ASSERT_OK(CreateFilterDatasetKernel( |
| test_case.func, test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, &filter_dataset_kernel)); |
| |
| Tensor tensor_slice_dataset_tensor(DT_VARIANT, TensorShape({})); |
| std::vector<Tensor> inputs_for_tensor_slice_dataset = test_case.input_tensors; |
| TF_ASSERT_OK(CreateTensorSliceDatasetTensor(&inputs_for_tensor_slice_dataset, |
| &tensor_slice_dataset_tensor)); |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&tensor_slice_dataset_tensor)}); |
| std::unique_ptr<OpKernelContext> filter_dataset_context; |
| TF_ASSERT_OK(CreateFilterDatasetContext(filter_dataset_kernel.get(), &inputs, |
| &filter_dataset_context)); |
| DatasetBase *filter_dataset; |
| TF_ASSERT_OK(CreateDataset(filter_dataset_kernel.get(), |
| filter_dataset_context.get(), &filter_dataset)); |
| core::ScopedUnref scoped_unref(filter_dataset); |
| |
| std::unique_ptr<IteratorContext> iterator_ctx; |
| TF_ASSERT_OK( |
| CreateIteratorContext(filter_dataset_context.get(), &iterator_ctx)); |
| std::unique_ptr<IteratorBase> iterator; |
| TF_ASSERT_OK( |
| filter_dataset->MakeIterator(iterator_ctx.get(), "Iterator", &iterator)); |
| |
| TF_EXPECT_OK(VerifyShapesCompatible(iterator->output_shapes(), |
| test_case.expected_output_shapes)); |
| } |
| |
| TEST_F(ParameterizedFilterDatasetOpTest, IteratorOutputPrefix) { |
| int thread_num = 2, cpu_num = 2; |
| const TestCase &test_case = TestCase1(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime(test_case.func_lib, cpu_num)); |
| |
| std::unique_ptr<OpKernel> filter_dataset_kernel; |
| TF_ASSERT_OK(CreateFilterDatasetKernel( |
| test_case.func, test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, &filter_dataset_kernel)); |
| |
| Tensor tensor_slice_dataset_tensor(DT_VARIANT, TensorShape({})); |
| std::vector<Tensor> inputs_for_tensor_slice_dataset = test_case.input_tensors; |
| TF_ASSERT_OK(CreateTensorSliceDatasetTensor(&inputs_for_tensor_slice_dataset, |
| &tensor_slice_dataset_tensor)); |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&tensor_slice_dataset_tensor)}); |
| std::unique_ptr<OpKernelContext> filter_dataset_context; |
| TF_ASSERT_OK(CreateFilterDatasetContext(filter_dataset_kernel.get(), &inputs, |
| &filter_dataset_context)); |
| DatasetBase *filter_dataset; |
| TF_ASSERT_OK(CreateDataset(filter_dataset_kernel.get(), |
| filter_dataset_context.get(), &filter_dataset)); |
| core::ScopedUnref scoped_unref(filter_dataset); |
| |
| std::unique_ptr<IteratorContext> iterator_ctx; |
| TF_ASSERT_OK( |
| CreateIteratorContext(filter_dataset_context.get(), &iterator_ctx)); |
| std::unique_ptr<IteratorBase> iterator; |
| TF_ASSERT_OK( |
| filter_dataset->MakeIterator(iterator_ctx.get(), "Iterator", &iterator)); |
| |
| EXPECT_EQ(iterator->prefix(), name_utils::IteratorPrefix( |
| FilterDatasetOp::kDatasetType, "Iterator")); |
| } |
| |
| TEST_P(ParameterizedFilterDatasetOpTest, Roundtrip) { |
| int thread_num = 2, cpu_num = 2; |
| const TestCase &test_case = GetParam(); |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime(test_case.func_lib, cpu_num)); |
| |
| std::unique_ptr<OpKernel> filter_dataset_kernel; |
| TF_ASSERT_OK(CreateFilterDatasetKernel( |
| test_case.func, test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, &filter_dataset_kernel)); |
| |
| Tensor tensor_slice_dataset_tensor(DT_VARIANT, TensorShape({})); |
| std::vector<Tensor> inputs_for_tensor_slice_dataset = test_case.input_tensors; |
| TF_ASSERT_OK(CreateTensorSliceDatasetTensor(&inputs_for_tensor_slice_dataset, |
| &tensor_slice_dataset_tensor)); |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&tensor_slice_dataset_tensor)}); |
| std::unique_ptr<OpKernelContext> filter_dataset_context; |
| TF_ASSERT_OK(CreateFilterDatasetContext(filter_dataset_kernel.get(), &inputs, |
| &filter_dataset_context)); |
| DatasetBase *filter_dataset; |
| TF_ASSERT_OK(CreateDataset(filter_dataset_kernel.get(), |
| filter_dataset_context.get(), &filter_dataset)); |
| core::ScopedUnref scoped_unref(filter_dataset); |
| |
| std::unique_ptr<IteratorContext> iterator_ctx; |
| TF_ASSERT_OK( |
| CreateIteratorContext(filter_dataset_context.get(), &iterator_ctx)); |
| std::unique_ptr<IteratorBase> iterator; |
| TF_ASSERT_OK( |
| filter_dataset->MakeIterator(iterator_ctx.get(), "Iterator", &iterator)); |
| |
| std::unique_ptr<SerializationContext> serialization_ctx; |
| TF_ASSERT_OK(CreateSerializationContext(&serialization_ctx)); |
| |
| bool end_of_sequence = false; |
| std::vector<Tensor> out_tensors; |
| int cur_iteration = 0; |
| const std::vector<int> &breakpoints = test_case.breakpoints; |
| for (int breakpoint : 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", |
| *filter_dataset, &iterator)); |
| |
| while (cur_iteration <= breakpoint) { |
| std::vector<Tensor> next; |
| TF_EXPECT_OK( |
| iterator->GetNext(iterator_ctx.get(), &next, &end_of_sequence)); |
| out_tensors.insert(out_tensors.end(), next.begin(), next.end()); |
| cur_iteration++; |
| } |
| } |
| |
| TF_EXPECT_OK(ExpectEqual(out_tensors, test_case.expected_outputs, |
| /*compare_order*/ true)); |
| } |
| |
| INSTANTIATE_TEST_SUITE_P( |
| FilterDatasetOpTest, ParameterizedFilterDatasetOpTest, |
| ::testing::ValuesIn(std::vector<TestCase>({TestCase1(), TestCase2()}))); |
| |
| TEST_F(ParameterizedFilterDatasetOpTest, InvalidFuncs) { |
| int thread_num = 2, cpu_num = 2; |
| TF_ASSERT_OK(InitThreadPool(thread_num)); |
| TF_ASSERT_OK(InitFunctionLibraryRuntime( |
| {test::function::IsZero(), test::function::Unique(), |
| test::function::NonZero()}, |
| cpu_num)); |
| |
| std::vector<TestCase> test_cases( |
| {InvalidFuncTestCase1(), InvalidFuncTestCase2(), InvalidFuncTestCase3()}); |
| for (const auto &test_case : test_cases) { |
| std::unique_ptr<OpKernel> filter_dataset_kernel; |
| TF_ASSERT_OK(CreateFilterDatasetKernel( |
| test_case.func, test_case.expected_output_dtypes, |
| test_case.expected_output_shapes, &filter_dataset_kernel)); |
| Tensor tensor_slice_dataset_tensor(DT_VARIANT, TensorShape({})); |
| std::vector<Tensor> inputs_for_tensor_slice_dataset = |
| test_case.input_tensors; |
| TF_ASSERT_OK(CreateTensorSliceDatasetTensor( |
| &inputs_for_tensor_slice_dataset, &tensor_slice_dataset_tensor)); |
| gtl::InlinedVector<TensorValue, 4> inputs( |
| {TensorValue(&tensor_slice_dataset_tensor)}); |
| std::unique_ptr<OpKernelContext> filter_dataset_context; |
| TF_ASSERT_OK(CreateFilterDatasetContext(filter_dataset_kernel.get(), |
| &inputs, &filter_dataset_context)); |
| DatasetBase *filter_dataset; |
| TF_ASSERT_OK(CreateDataset(filter_dataset_kernel.get(), |
| filter_dataset_context.get(), &filter_dataset)); |
| core::ScopedUnref scoped_unref(filter_dataset); |
| |
| std::unique_ptr<IteratorContext> iterator_ctx; |
| TF_ASSERT_OK( |
| CreateIteratorContext(filter_dataset_context.get(), &iterator_ctx)); |
| std::unique_ptr<IteratorBase> iterator; |
| TF_ASSERT_OK(filter_dataset->MakeIterator(iterator_ctx.get(), "Iterator", |
| &iterator)); |
| |
| bool end_of_sequence = false; |
| std::vector<Tensor> out_tensors; |
| EXPECT_EQ( |
| iterator->GetNext(iterator_ctx.get(), &out_tensors, &end_of_sequence) |
| .code(), |
| tensorflow::error::INVALID_ARGUMENT); |
| EXPECT_TRUE(out_tensors.empty()); |
| } |
| } |
| |
| } // namespace |
| } // namespace data |
| } // namespace tensorflow |
