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#include "tensorflow/core/public/tensor.h"
#include "tensorflow/core/common_runtime/kernel_benchmark_testlib.h"
#include "tensorflow/core/platform/test_benchmark.h"
#include <gtest/gtest.h>
#include "tensorflow/core/kernels/xent_op.h"
namespace tensorflow {
static Graph* Xent(int batch_size, int num_classes) {
Graph* g = new Graph(OpRegistry::Global());
Tensor logits(DT_FLOAT, TensorShape({batch_size, num_classes}));
logits.flat<float>().setRandom();
Tensor labels(DT_FLOAT, TensorShape({batch_size, num_classes}));
labels.flat<float>().setRandom();
test::graph::Binary(g, "SoftmaxCrossEntropyWithLogits",
test::graph::Constant(g, logits),
test::graph::Constant(g, labels));
return g;
}
#define BM_XentDev(BATCH, CLASS, DEVICE) \
static void BM_Xent##_##BATCH##_##CLASS##_##DEVICE(int iters) { \
testing::ItemsProcessed(static_cast<int64>(iters) * BATCH * CLASS); \
test::Benchmark(#DEVICE, Xent(BATCH, CLASS)).Run(iters); \
} \
BENCHMARK(BM_Xent##_##BATCH##_##CLASS##_##DEVICE);
/// The representative tests for ptb_word on GPU
BM_XentDev(16, 10000, gpu);
BM_XentDev(16, 30000, gpu);
BM_XentDev(16, 100000, gpu);
BM_XentDev(32, 10000, gpu);
BM_XentDev(32, 30000, gpu);
BM_XentDev(32, 100000, gpu);
BM_XentDev(64, 10000, gpu);
BM_XentDev(64, 30000, gpu);
BM_XentDev(64, 100000, gpu);
/// Only the smaller tests for CPU. Otherwise, it's too slow
BM_XentDev(16, 10000, cpu);
BM_XentDev(32, 10000, cpu);
BM_XentDev(64, 10000, cpu);
} // end namespace tensorflow
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