diff options
Diffstat (limited to 'tensorflow/core/kernels/dynamic_partition_op_test.cc')
| -rw-r--r-- | tensorflow/core/kernels/dynamic_partition_op_test.cc | 58 |
1 files changed, 58 insertions, 0 deletions
diff --git a/tensorflow/core/kernels/dynamic_partition_op_test.cc b/tensorflow/core/kernels/dynamic_partition_op_test.cc index 0e8fbc0a67..9a7ed0af21 100644 --- a/tensorflow/core/kernels/dynamic_partition_op_test.cc +++ b/tensorflow/core/kernels/dynamic_partition_op_test.cc @@ -16,6 +16,7 @@ limitations under the License. #include <functional> #include <memory> +#include "tensorflow/core/common_runtime/kernel_benchmark_testlib.h" #include "tensorflow/core/framework/allocator.h" #include "tensorflow/core/framework/fake_input.h" #include "tensorflow/core/framework/node_def_builder.h" @@ -23,10 +24,14 @@ limitations under the License. #include "tensorflow/core/framework/tensor.h" #include "tensorflow/core/framework/types.h" #include "tensorflow/core/framework/types.pb.h" +#include "tensorflow/core/graph/node_builder.h" +#include "tensorflow/core/graph/testlib.h" #include "tensorflow/core/kernels/ops_testutil.h" #include "tensorflow/core/kernels/ops_util.h" #include "tensorflow/core/lib/core/status_test_util.h" +#include "tensorflow/core/lib/random/simple_philox.h" #include "tensorflow/core/platform/test.h" +#include "tensorflow/core/platform/test_benchmark.h" namespace tensorflow { namespace { @@ -153,5 +158,58 @@ TEST_F(DynamicPartitionOpTest, Error_IndexOutOfRange) { << s; } +Node* DynamicPartitionNode(Graph* g, Node* in0, Node* in1, int num_partitions) { + Node* ret; + TF_CHECK_OK(NodeBuilder(g->NewName("n"), "DynamicPartition") + .Input(in0) + .Input(in1) + .Attr("num_partitions", num_partitions) + .Finalize(g, &ret)); + return ret; +} + +template <typename T> +static Graph* DynamicPartition(int num_partitions, int dim) { + Graph* g = new Graph(OpRegistry::Global()); + // Always use a 128MB buffer. + const int kRows = ((128 << 20) / sizeof(T)) / dim; + Tensor data(DataTypeToEnum<T>::value, TensorShape({kRows, dim})); + data.flat<T>().setRandom(); + + random::PhiloxRandom philox(301, 17); + random::SimplePhilox rnd(&philox); + Tensor partitions(DT_INT32, TensorShape({kRows})); + for (int i = 0; i < kRows; i++) { + partitions.flat<int32>()(i) = rnd.Uniform(num_partitions); + } + DynamicPartitionNode(g, test::graph::Constant(g, data), + test::graph::Constant(g, partitions), num_partitions); + return g; +} + +#define BM_DYNAMIC_PARTITION(DEVICE, T, num) \ + static void BM_##DEVICE##_dynpart_##T##_##num(int iters, int dim) { \ + const int64 items = ((128 << 20) / sizeof(T)); \ + const int64 tot = static_cast<int64>(iters) * items; \ + testing::ItemsProcessed(tot); \ + testing::UseRealTime(); \ + test::Benchmark(#DEVICE, DynamicPartition<T>(num, dim)).Run(iters); \ + } \ + BENCHMARK(BM_##DEVICE##_dynpart_##T##_##num)->Arg(1)->Arg(256) + +BM_DYNAMIC_PARTITION(cpu, float, 2); +BM_DYNAMIC_PARTITION(cpu, float, 100); +BM_DYNAMIC_PARTITION(cpu, double, 2); +BM_DYNAMIC_PARTITION(cpu, double, 100); +BM_DYNAMIC_PARTITION(cpu, complex64, 2); +BM_DYNAMIC_PARTITION(cpu, complex64, 100); + +BM_DYNAMIC_PARTITION(gpu, float, 2); +BM_DYNAMIC_PARTITION(gpu, float, 100); +BM_DYNAMIC_PARTITION(gpu, double, 2); +BM_DYNAMIC_PARTITION(gpu, double, 100); +BM_DYNAMIC_PARTITION(gpu, complex64, 2); +BM_DYNAMIC_PARTITION(gpu, complex64, 100); + } // namespace } // namespace tensorflow |