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author | A. Unique TensorFlower <gardener@tensorflow.org> | 2017-12-15 17:32:50 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-12-15 17:39:26 -0800 |
commit | 9648f8040a559f6cf9bbe0501ba96f2b2c2864b1 (patch) | |
tree | 57dc6e959e0a534622eaf392ee43b7691378b10e /tensorflow/examples/wav_to_spectrogram | |
parent | 5b5445b9a7aa2664a90c4fc946ecf268c971425b (diff) |
Automated g4 rollback of changelist 179258973
PiperOrigin-RevId: 179260538
Diffstat (limited to 'tensorflow/examples/wav_to_spectrogram')
-rw-r--r-- | tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.cc | 7 |
1 files changed, 3 insertions, 4 deletions
diff --git a/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.cc b/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.cc index 4a429837b7..1e375ed48e 100644 --- a/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.cc +++ b/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.cc @@ -53,8 +53,7 @@ tensorflow::Status WavToSpectrogram(const tensorflow::string& input_wav, // - Scales, clamps, and converts that spectrogram to 0 to 255 uint8's. // - Reshapes the tensor so that it's [height, width, 1] for imaging. // - Encodes it as a PNG stream and saves it out to a file. - Output file_reader = - tensorflow::ops::ReadFile(root.WithOpName("input_wav"), input_wav); + Output file_reader = ReadFile(root.WithOpName("input_wav"), input_wav); DecodeWav wav_decoder = DecodeWav(root.WithOpName("wav_decoder"), file_reader); Output spectrogram = AudioSpectrogram(root.WithOpName("spectrogram"), @@ -72,8 +71,8 @@ tensorflow::Status WavToSpectrogram(const tensorflow::string& input_wav, Output squeeze = Squeeze(root.WithOpName("squeeze"), expand_dims, Squeeze::Attrs().Axis({0})); Output png_encoder = EncodePng(root.WithOpName("png_encoder"), squeeze); - tensorflow::ops::WriteFile file_writer = tensorflow::ops::WriteFile( - root.WithOpName("output_image"), output_image, png_encoder); + WriteFile file_writer = + WriteFile(root.WithOpName("output_image"), output_image, png_encoder); tensorflow::GraphDef graph; TF_RETURN_IF_ERROR(root.ToGraphDef(&graph)); |