Fix of issue #23
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DeepSpeech.ipynb
5779
DeepSpeech.ipynb
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images/Parallelism.png
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images/Parallelism.png
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@ -22,7 +22,7 @@ def audiofiles_to_audio_data_sets(audio_filenames, numcep, numcontext):
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# - numcep dimensions for the current mfcc feature set
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# - numcontext*numcep dimensions for each of the past and future (x2) mfcc feature set
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# => so numcep + 2*numcontext*numcep
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train_inputs = np.array([], np.float)
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train_inputs = np.array([], np.float32)
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train_inputs.resize((orig_inputs.shape[0], numcep + 2*numcep*numcontext))
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# Prepare pre-fix post fix context (TODO: Fill empty_mfcc with MCFF of silence)
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util/gpu/__init__.py
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util/gpu/__init__.py
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@ -0,0 +1,5 @@
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from tensorflow.python.client import device_lib
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def get_available_gpus():
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local_device_protos = device_lib.list_local_devices()
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return [x.name for x in local_device_protos if x.device_type == 'GPU']
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@ -1,4 +1,5 @@
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import numpy as np
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import tensorflow as tf
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# Constants
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SPACE_TOKEN = '<space>'
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@ -47,4 +48,4 @@ def sparse_tuple_from(sequences, dtype=np.int32):
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values = np.asarray(values, dtype=dtype)
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shape = np.asarray([len(sequences), np.asarray(indices).max(0)[1]+1], dtype=np.int64)
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return indices, values, shape
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return tf.SparseTensor(indices=indices, values=values, shape=shape)
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