1 /* Copyright 2017 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 <memory> 17 #include <utility> 18 19 #include "tensorflow/compiler/xla/client/computation.h" 20 #include "tensorflow/compiler/xla/client/computation_builder.h" 21 #include "tensorflow/compiler/xla/literal_util.h" 22 #include "tensorflow/compiler/xla/shape_util.h" 23 #include "tensorflow/compiler/xla/test_helpers.h" 24 #include "tensorflow/compiler/xla/tests/client_library_test_base.h" 25 #include "tensorflow/compiler/xla/tests/literal_test_util.h" 26 #include "tensorflow/compiler/xla/tests/test_macros.h" 27 #include "tensorflow/compiler/xla/xla_data.pb.h" 28 #include "tensorflow/core/platform/test.h" 29 30 namespace xla { 31 namespace { 32 33 class CallOpTest : public ClientLibraryTestBase { 34 protected: 35 Computation CreateR0F32IdentityComputation() { 36 ComputationBuilder builder(client_, "Identity"); 37 builder.Parameter(0, r0f32_, "x"); 38 auto build_status = builder.Build(); 39 EXPECT_IS_OK(build_status.status()); 40 return build_status.ConsumeValueOrDie(); 41 } 42 43 Computation CreateR1S0F32AdditionComputation() { 44 ComputationBuilder builder(client_, "Addition"); 45 auto x = builder.Parameter(0, r1s0f32_, "x"); 46 auto y = builder.Parameter(1, r1s0f32_, "y"); 47 builder.Add(x, y); 48 auto build_status = builder.Build(); 49 EXPECT_IS_OK(build_status.status()); 50 return build_status.ConsumeValueOrDie(); 51 } 52 53 Computation CreateR1S2F32AdditionComputation() { 54 ComputationBuilder builder(client_, "Addition"); 55 auto x = builder.Parameter(0, r1s2f32_, "x"); 56 auto y = builder.Parameter(1, r1s2f32_, "y"); 57 builder.Add(x, y); 58 auto build_status = builder.Build(); 59 EXPECT_IS_OK(build_status.status()); 60 return build_status.ConsumeValueOrDie(); 61 } 62 63 Computation CreateR0F32TupleComputation() { 64 ComputationBuilder builder(client_, "Tuple"); 65 builder.Tuple({builder.Parameter(0, r0f32_, "x")}); 66 auto build_status = builder.Build(); 67 EXPECT_IS_OK(build_status.status()); 68 return build_status.ConsumeValueOrDie(); 69 } 70 71 Shape r0f32_ = ShapeUtil::MakeShape(F32, {}); 72 Shape r1s0f32_ = ShapeUtil::MakeShape(F32, {0}); 73 Shape r1s2f32_ = ShapeUtil::MakeShape(F32, {2}); 74 }; 75 76 XLA_TEST_F(CallOpTest, CallR0F32IdentityScalar) { 77 ComputationBuilder builder(client_, TestName()); 78 Computation callee = CreateR0F32IdentityComputation(); 79 auto constant = builder.ConstantLiteral(*Literal::CreateR0<float>(42.0)); 80 builder.Call(callee, {constant}); 81 82 ComputeAndCompareR0<float>(&builder, 42.0, {}, ErrorSpec(0.01f)); 83 } 84 85 XLA_TEST_F(CallOpTest, CallR1S0F32AddArray) { 86 ComputationBuilder builder(client_, TestName()); 87 Computation callee = CreateR1S0F32AdditionComputation(); 88 auto x = builder.ConstantLiteral(*Literal::CreateR1<float>({})); 89 auto y = builder.ConstantLiteral(*Literal::CreateR1<float>({})); 90 builder.Call(callee, {x, y}); 91 92 ComputeAndCompareR1<float>(&builder, {}, {}, ErrorSpec(0.01f)); 93 } 94 95 XLA_TEST_F(CallOpTest, CallR1S2F32AddArray) { 96 ComputationBuilder builder(client_, TestName()); 97 Computation callee = CreateR1S2F32AdditionComputation(); 98 auto x = builder.ConstantLiteral(*Literal::CreateR1<float>({1.0f, 2.0f})); 99 auto y = builder.ConstantLiteral(*Literal::CreateR1<float>({2.0f, 3.0f})); 100 builder.Call(callee, {x, y}); 101 102 ComputeAndCompareR1<float>(&builder, {3.0f, 5.0f}, {}, ErrorSpec(0.01f)); 103 } 104 105 XLA_TEST_F(CallOpTest, CallTreeTwoDeepBranchFactorThree) { 106 ComputationBuilder builder(client_, "inner"); 107 { 108 auto x = builder.Parameter(0, r0f32_, "x"); 109 builder.Add(x, builder.ConstantR0<float>(1.0)); 110 } 111 TF_ASSERT_OK_AND_ASSIGN(Computation inner, builder.Build()); 112 113 ComputationBuilder builder2(client_, "outer"); 114 { 115 auto x = builder2.Parameter(0, r0f32_, "x"); 116 x = builder2.Call(inner, {x}); 117 x = builder2.Call(inner, {x}); 118 x = builder2.Call(inner, {x}); 119 } 120 TF_ASSERT_OK_AND_ASSIGN(Computation outer, builder2.Build()); 121 122 ComputationBuilder builder3(client_, "outermost"); 123 { 124 auto x = builder3.Parameter(0, r0f32_, "x"); 125 x = builder3.Call(outer, {x}); 126 x = builder3.Call(outer, {x}); 127 x = builder3.Call(outer, {x}); 128 } 129 130 TF_ASSERT_OK_AND_ASSIGN( 131 std::unique_ptr<GlobalData> start, 132 client_->TransferToServer(*Literal::CreateR0<float>(1.0f))); 133 ComputeAndCompareR0<float>(&builder3, 10.0f, {start.get()}, ErrorSpec(0.0f)); 134 } 135 136 XLA_TEST_F(CallOpTest, CallR0F32Tuple) { 137 ComputationBuilder builder(client_, TestName()); 138 Computation callee = CreateR0F32TupleComputation(); 139 auto elem = Literal::CreateR0<float>(42.0); 140 auto tuple = Literal::MakeTuple({elem.get()}); 141 builder.Call(callee, {builder.ConstantLiteral(*elem)}); 142 143 ComputeAndCompareTuple(&builder, *tuple, {}, ErrorSpec(0.01f)); 144 } 145 146 } // namespace 147 } // namespace xla 148
