1 /* Copyright 2016 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 #include "tensorflow/core/framework/allocator.h" 17 #include "tensorflow/core/framework/fake_input.h" 18 #include "tensorflow/core/framework/node_def_builder.h" 19 #include "tensorflow/core/framework/op_kernel.h" 20 #include "tensorflow/core/framework/tensor.h" 21 #include "tensorflow/core/framework/tensor_testutil.h" 22 #include "tensorflow/core/framework/types.h" 23 #include "tensorflow/core/kernels/ops_testutil.h" 24 #include "tensorflow/core/platform/test.h" 25 26 namespace tensorflow { 27 28 namespace { 29 30 class SparseReduceSumOpTest : public OpsTestBase { 31 protected: 32 template <typename T> 33 void MakeOp() { 34 DataType value_type = tensorflow::DataTypeToEnum<T>::value; 35 TF_ASSERT_OK(NodeDefBuilder("sparse_reduce_sum", "SparseReduceSum") 36 .Input(FakeInput(DT_INT64)) 37 .Input(FakeInput(value_type)) 38 .Input(FakeInput(DT_INT64)) 39 .Input(FakeInput(DT_INT32)) 40 .Attr("T", value_type) 41 .Finalize(node_def())); 42 TF_ASSERT_OK(InitOp()); 43 } 44 }; 45 46 TEST_F(SparseReduceSumOpTest, SimpleReduce) { 47 MakeOp<float>(); 48 49 // [ 1] 50 // [2 ] 51 // [3 4] 52 53 const auto indices_shape = TensorShape({4, 2}); 54 std::initializer_list<int64> in{0, 1, 1, 0, 2, 0, 2, 1}; 55 const gtl::ArraySlice<int64> indices(in); 56 std::initializer_list<int64> sh{3, 2}; 57 const gtl::ArraySlice<int64> shape(sh); 58 59 AddInputFromArray<int64>(indices_shape, indices); 60 AddInputFromArray<float>(TensorShape({4}), {1, 2, 3, 4}); 61 AddInputFromArray<int64>(TensorShape({2}), shape); 62 AddInputFromArray<int32>(TensorShape({1}), {0}); // reduction axes 63 64 TF_ASSERT_OK(RunOpKernel()); 65 66 Tensor expected_by_0(allocator(), DT_FLOAT, TensorShape({2})); 67 test::FillValues<float>(&expected_by_0, {5, 5}); 68 test::ExpectTensorEqual<float>(expected_by_0, *GetOutput(0)); 69 } 70 71 class SparseReduceSumSparseOpTest : public OpsTestBase { 72 protected: 73 template <typename T> 74 void MakeOp() { 75 DataType value_type = tensorflow::DataTypeToEnum<T>::value; 76 TF_ASSERT_OK( 77 NodeDefBuilder("sparse_reduce_sum_sparse", "SparseReduceSumSparse") 78 .Input(FakeInput(DT_INT64)) 79 .Input(FakeInput(value_type)) 80 .Input(FakeInput(DT_INT64)) 81 .Input(FakeInput(DT_INT32)) 82 .Attr("T", value_type) 83 .Finalize(node_def())); 84 TF_ASSERT_OK(InitOp()); 85 } 86 }; 87 88 TEST_F(SparseReduceSumSparseOpTest, SimpleReduce) { 89 MakeOp<float>(); 90 91 // [ 2] 92 // [2 ] 93 // [3 4] 94 95 const auto indices_shape = TensorShape({4, 2}); 96 std::initializer_list<int64> in{0, 1, 1, 0, 2, 0, 2, 1}; 97 const gtl::ArraySlice<int64> indices(in); 98 std::initializer_list<int64> sh{3, 2}; 99 const gtl::ArraySlice<int64> shape(sh); 100 101 AddInputFromArray<int64>(indices_shape, indices); 102 AddInputFromArray<float>(TensorShape({4}), {2, 2, 3, 4}); 103 AddInputFromArray<int64>(TensorShape({2}), shape); 104 AddInputFromArray<int32>(TensorShape({1}), {0}); // reduction axes 105 106 TF_ASSERT_OK(RunOpKernel()); 107 108 const int expected_nnz = 2; 109 Tensor expected_indices(allocator(), DT_INT64, 110 TensorShape({expected_nnz, 1})); 111 test::FillValues<int64>(&expected_indices, {0, 1}); 112 test::ExpectTensorEqual<int64>(expected_indices, *GetOutput(0)); 113 114 Tensor expected_values(allocator(), DT_FLOAT, TensorShape({2})); 115 test::FillValues<float>(&expected_values, {5, 6}); 116 test::ExpectTensorEqual<float>(expected_values, *GetOutput(1)); 117 118 Tensor expected_shape(allocator(), DT_INT64, {1}); 119 test::FillValues<int64>(&expected_shape, {2}); 120 test::ExpectTensorEqual<int64>(expected_shape, *GetOutput(2)); 121 } 122 123 } // namespace 124 125 } // namespace tensorflow 126
