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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-02-26 12:24:58 -0800
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-02-26 12:24:58 -0800
commit93485d86bcddc0665939ce2c43261dfaa1b8cc90 (patch)
treebda02d881a97fbbd62fd3c260d134ec9245c0d7d /bench/tensors/tensor_benchmarks.h
parent002824e32def5c9a430acac4bd9fc05308c923bb (diff)
Added benchmarks for type casting of float16
Diffstat (limited to 'bench/tensors/tensor_benchmarks.h')
-rw-r--r--bench/tensors/tensor_benchmarks.h6
1 files changed, 3 insertions, 3 deletions
diff --git a/bench/tensors/tensor_benchmarks.h b/bench/tensors/tensor_benchmarks.h
index b208a401a..131d056b4 100644
--- a/bench/tensors/tensor_benchmarks.h
+++ b/bench/tensors/tensor_benchmarks.h
@@ -48,12 +48,12 @@ template <typename Device, typename T> class BenchmarkSuite {
Eigen::array<TensorIndex, 2> sizes;
sizes[0] = m_;
sizes[1] = k_;
- const TensorMap<Tensor<T, 2, 0, TensorIndex>, Eigen::Aligned> A(a_, sizes);
- TensorMap<Tensor<int, 2, 0, TensorIndex>, Eigen::Aligned> B((int*)b_, sizes);
+ const TensorMap<Tensor<int, 2, 0, TensorIndex>, Eigen::Aligned> A((int*)a_, sizes);
+ TensorMap<Tensor<T, 2, 0, TensorIndex>, Eigen::Aligned> B(b_, sizes);
StartBenchmarkTiming();
for (int iter = 0; iter < num_iters; ++iter) {
- B.device(device_) = A.template cast<int>();
+ B.device(device_) = A.template cast<T>();
}
// Record the number of values copied per second
finalizeBenchmark(static_cast<int64_t>(m_) * k_ * num_iters);