diff options
author | Dandelion Man? <dandelion@google.com> | 2017-12-15 18:15:07 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-12-15 18:19:09 -0800 |
commit | 90e42f3ac8c43474633136af4242dca04b6a1e09 (patch) | |
tree | 64dbb44252c89c847bee86db07cea5aa94072e7c /tensorflow/examples/wav_to_spectrogram | |
parent | 713d45278491d792c525344de6038a61ebcb2136 (diff) |
Automated g4 rollback of changelist 179260538
PiperOrigin-RevId: 179263865
Diffstat (limited to 'tensorflow/examples/wav_to_spectrogram')
-rw-r--r-- | tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.cc | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.cc b/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.cc index 1e375ed48e..4a429837b7 100644 --- a/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.cc +++ b/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.cc @@ -53,7 +53,8 @@ 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 = ReadFile(root.WithOpName("input_wav"), input_wav); + Output file_reader = + tensorflow::ops::ReadFile(root.WithOpName("input_wav"), input_wav); DecodeWav wav_decoder = DecodeWav(root.WithOpName("wav_decoder"), file_reader); Output spectrogram = AudioSpectrogram(root.WithOpName("spectrogram"), @@ -71,8 +72,8 @@ 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); - WriteFile file_writer = - WriteFile(root.WithOpName("output_image"), output_image, png_encoder); + tensorflow::ops::WriteFile file_writer = tensorflow::ops::WriteFile( + root.WithOpName("output_image"), output_image, png_encoder); tensorflow::GraphDef graph; TF_RETURN_IF_ERROR(root.ToGraphDef(&graph)); |