1 /* Copyright 2015 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/common_runtime/kernel_benchmark_testlib.h" 17 #include "tensorflow/core/framework/fake_input.h" 18 #include "tensorflow/core/framework/node_def_builder.h" 19 #include "tensorflow/core/framework/tensor.h" 20 #include "tensorflow/core/framework/types.pb.h" 21 #include "tensorflow/core/kernels/ops_testutil.h" 22 #include "tensorflow/core/kernels/ops_util.h" 23 #include "tensorflow/core/platform/test.h" 24 #include "tensorflow/core/platform/test_benchmark.h" 25 26 using Eigen::half; 27 28 namespace tensorflow { 29 30 template <typename Src, typename Dst> 31 static Graph* Cast(int num) { 32 Graph* g = new Graph(OpRegistry::Global()); 33 Tensor data(DataTypeToEnum<Src>::value, 34 TensorShape({64, 64, num / (64 * 64)})); 35 data.flat<Src>().setRandom(); 36 test::graph::Cast(g, test::graph::Constant(g, data), 37 DataTypeToEnum<Dst>::value); 38 return g; 39 } 40 41 class CastOpTest : public OpsTestBase { 42 protected: 43 void MakeOp(DataType src, DataType dst) { 44 TF_EXPECT_OK(NodeDefBuilder("cast_op", "Cast") 45 .Input(FakeInput(src)) 46 .Attr("SrcT", src) 47 .Attr("DstT", dst) 48 .Finalize(node_def())); 49 TF_EXPECT_OK(InitOp()); 50 } 51 52 template <typename INPUT, typename OUTPUT> 53 void CheckCast() { 54 DataType in_type = DataTypeToEnum<INPUT>::v(); 55 DataType out_type = DataTypeToEnum<OUTPUT>::v(); 56 MakeOp(in_type, out_type); 57 AddInputFromArray<INPUT>(TensorShape({1, 2, 2, 1}), 58 {INPUT(1), INPUT(2), INPUT(3), INPUT(4)}); 59 TF_ASSERT_OK(RunOpKernel()); 60 Tensor expected(allocator(), out_type, TensorShape({1, 2, 2, 1})); 61 test::FillValues<OUTPUT>(&expected, 62 {OUTPUT(1), OUTPUT(2), OUTPUT(3), OUTPUT(4)}); 63 test::ExpectTensorEqual<OUTPUT>(expected, *GetOutput(0)); 64 } 65 }; 66 67 #define TEST_CAST(in, out) \ 68 TEST_F(CastOpTest, TestCast##_##in##_##out) { CheckCast<in, out>(); } 69 70 #define TEST_ALL_CASTS_FROM(in) \ 71 TEST_CAST(in, uint8); \ 72 TEST_CAST(in, uint16); \ 73 TEST_CAST(in, int16); \ 74 TEST_CAST(in, int32); \ 75 TEST_CAST(in, int64); \ 76 TEST_CAST(in, half); \ 77 TEST_CAST(in, float); \ 78 TEST_CAST(in, double) 79 80 TEST_ALL_CASTS_FROM(uint8) 81 TEST_ALL_CASTS_FROM(uint16) 82 TEST_ALL_CASTS_FROM(int16) 83 TEST_ALL_CASTS_FROM(int32) 84 TEST_ALL_CASTS_FROM(int64) 85 TEST_ALL_CASTS_FROM(half) 86 TEST_ALL_CASTS_FROM(float) 87 TEST_ALL_CASTS_FROM(double) 88 89 #undef TEST_ALL_CASTS_FROM 90 #undef TEST_CAST 91 92 // TODO(wicke): check conversions from/to bool, and bfloat16 93 94 static void BM_cpu_float_int64(int iters, int num) { 95 testing::ItemsProcessed(static_cast<int64>(iters) * num); 96 testing::BytesProcessed(static_cast<int64>(iters) * num * 97 (sizeof(float) + sizeof(int64))); 98 testing::UseRealTime(); 99 test::Benchmark("cpu", Cast<float, int64>(num)).Run(iters); 100 } 101 BENCHMARK(BM_cpu_float_int64)->Arg(64 << 10)->Arg(32 << 20); 102 103 static void BM_gpu_float_int64(int iters, int num) { 104 testing::ItemsProcessed(static_cast<int64>(iters) * num); 105 testing::BytesProcessed(static_cast<int64>(iters) * num * 106 (sizeof(float) + sizeof(int64))); 107 testing::UseRealTime(); 108 #if GOOGLE_CUDA 109 test::Benchmark("gpu", Cast<float, int64>(num)).Run(iters); 110 #endif // GOOGLE_CUDA 111 #ifdef TENSORFLOW_USE_SYCL 112 test::Benchmark("sycl", Cast<float, int64>(num)).Run(iters); 113 #endif // TENSORFLOW_USE_SYCL 114 } 115 BENCHMARK(BM_gpu_float_int64)->Arg(64 << 10)->Arg(32 << 20); 116 117 static void BM_cpu_bool_float(int iters, int num) { 118 testing::ItemsProcessed(static_cast<int64>(iters) * num); 119 testing::BytesProcessed(static_cast<int64>(iters) * num * 120 (sizeof(bool) + sizeof(float))); 121 testing::UseRealTime(); 122 test::Benchmark("cpu", Cast<bool, float>(num)).Run(iters); 123 } 124 BENCHMARK(BM_cpu_bool_float)->Arg(64 << 10)->Arg(32 << 20); 125 126 static void BM_gpu_bool_float(int iters, int num) { 127 testing::ItemsProcessed(static_cast<int64>(iters) * num); 128 testing::BytesProcessed(static_cast<int64>(iters) * num * 129 (sizeof(bool) + sizeof(float))); 130 testing::UseRealTime(); 131 #if GOOGLE_CUDA 132 test::Benchmark("gpu", Cast<bool, float>(num)).Run(iters); 133 #endif // GOOGLE_CUDA 134 #ifdef TENSORFLOW_USE_SYCL 135 test::Benchmark("sycl", Cast<bool, float>(num)).Run(iters); 136 #endif // TENSORFLOW_USE_SYCL 137 } 138 BENCHMARK(BM_gpu_bool_float)->Arg(64 << 10)->Arg(32 << 20); 139 140 static void BM_cpu_float_bfloat16(int iters, int num) { 141 testing::ItemsProcessed(static_cast<int64>(iters) * num); 142 testing::BytesProcessed(static_cast<int64>(iters) * num * 143 (sizeof(float) + sizeof(bfloat16))); 144 testing::UseRealTime(); 145 test::Benchmark("cpu", Cast<float, bfloat16>(num)).Run(iters); 146 } 147 BENCHMARK(BM_cpu_float_bfloat16)->Arg(64 << 10)->Arg(32 << 20); 148 149 static void BM_cpu_bfloat16_float(int iters, int num) { 150 testing::ItemsProcessed(static_cast<int64>(iters) * num); 151 testing::BytesProcessed(static_cast<int64>(iters) * num * 152 (sizeof(float) + sizeof(bfloat16))); 153 testing::UseRealTime(); 154 test::Benchmark("cpu", Cast<bfloat16, float>(num)).Run(iters); 155 } 156 BENCHMARK(BM_cpu_bfloat16_float)->Arg(64 << 10)->Arg(32 << 20); 157 158 static void BM_cpu_float_half(int iters, int num) { 159 testing::ItemsProcessed(static_cast<int64>(iters) * num); 160 testing::BytesProcessed(static_cast<int64>(iters) * num * 161 (sizeof(float) + sizeof(Eigen::half))); 162 testing::UseRealTime(); 163 test::Benchmark("cpu", Cast<float, Eigen::half>(num)).Run(iters); 164 } 165 BENCHMARK(BM_cpu_float_half)->Arg(64 << 10)->Arg(32 << 20); 166 167 static void BM_cpu_half_float(int iters, int num) { 168 testing::ItemsProcessed(static_cast<int64>(iters) * num); 169 testing::BytesProcessed(static_cast<int64>(iters) * num * 170 (sizeof(float) + sizeof(Eigen::half))); 171 testing::UseRealTime(); 172 test::Benchmark("cpu", Cast<Eigen::half, float>(num)).Run(iters); 173 } 174 BENCHMARK(BM_cpu_half_float)->Arg(64 << 10)->Arg(32 << 20); 175 176 static void BM_gpu_float_half(int iters, int num) { 177 testing::ItemsProcessed(static_cast<int64>(iters) * num); 178 testing::BytesProcessed(static_cast<int64>(iters) * num * 179 (sizeof(float) + sizeof(Eigen::half))); 180 testing::UseRealTime(); 181 #if GOOGLE_CUDA 182 test::Benchmark("gpu", Cast<float, Eigen::half>(num)).Run(iters); 183 #endif // GOOGLE_CUDA 184 } 185 BENCHMARK(BM_gpu_float_half)->Arg(64 << 10)->Arg(32 << 20); 186 187 static void BM_gpu_half_float(int iters, int num) { 188 testing::ItemsProcessed(static_cast<int64>(iters) * num); 189 testing::BytesProcessed(static_cast<int64>(iters) * num * 190 (sizeof(float) + sizeof(Eigen::half))); 191 testing::UseRealTime(); 192 #if GOOGLE_CUDA 193 test::Benchmark("gpu", Cast<Eigen::half, float>(num)).Run(iters); 194 #endif // GOOGLE_CUDA 195 } 196 BENCHMARK(BM_gpu_half_float)->Arg(64 << 10)->Arg(32 << 20); 197 198 } // end namespace tensorflow 199
