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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2017-06-14 09:07:31 -0700 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-06-14 09:14:10 -0700 |
| commit | 5cc5161c40a05e8d61872044321b8d954b5939e4 (patch) | |
| tree | 2992a9e30234e46a2327923ecf0848d5f4ff6e6e | |
| parent | df511d09b051914cbc4fc559807a3f0d07dfee71 (diff) | |
Minor cleanup
PiperOrigin-RevId: 158984989
| -rw-r--r-- | tensorflow/compiler/xla/legacy_flags/BUILD | 1 | ||||
| -rw-r--r-- | tensorflow/core/kernels/fft_ops.cc | 6 |
2 files changed, 3 insertions, 4 deletions
diff --git a/tensorflow/compiler/xla/legacy_flags/BUILD b/tensorflow/compiler/xla/legacy_flags/BUILD index a147ce67a2..0775dbe86e 100644 --- a/tensorflow/compiler/xla/legacy_flags/BUILD +++ b/tensorflow/compiler/xla/legacy_flags/BUILD @@ -73,7 +73,6 @@ cc_library( deps = [ ":parse_flags_from_env", - "//tensorflow/compiler/xla:types", "//tensorflow/compiler/xla:xla_proto", "//tensorflow/core:framework_internal", "//tensorflow/core:lib", diff --git a/tensorflow/core/kernels/fft_ops.cc b/tensorflow/core/kernels/fft_ops.cc index 32936d65c8..35a3f7b189 100644 --- a/tensorflow/core/kernels/fft_ops.cc +++ b/tensorflow/core/kernels/fft_ops.cc @@ -128,7 +128,7 @@ class FFTCPU : public FFTBase { auto device = ctx->eigen_device<CPUDevice>(); if (!IsReal()) { - auto input = (Tensor(in)).flat_inner_dims<complex64, FFTRank + 1>(); + auto input = Tensor(in).flat_inner_dims<complex64, FFTRank + 1>(); // Compute the FFT using eigen. auto output = out->flat_inner_dims<complex64, FFTRank + 1>(); constexpr auto direction = @@ -137,7 +137,7 @@ class FFTCPU : public FFTBase { input.template fft<Eigen::BothParts, direction>(axes); } else { if (IsForward()) { - auto input = (Tensor(in)).flat_inner_dims<float, FFTRank + 1>(); + auto input = Tensor(in).flat_inner_dims<float, FFTRank + 1>(); const auto input_dims = input.dimensions(); // Slice input to fft_shape on its inner-most dimensions. @@ -166,7 +166,7 @@ class FFTCPU : public FFTBase { full_fft.slice(zero_start_indices, output.dimensions()); } else { // Reconstruct the full FFT and take the inverse. - auto input = ((Tensor)in).flat_inner_dims<complex64, FFTRank + 1>(); + auto input = Tensor(in).flat_inner_dims<complex64, FFTRank + 1>(); auto output = out->flat_inner_dims<float, FFTRank + 1>(); const auto input_dims = input.dimensions(); |