DeepSpeech/native_client/tfcompile.config.pbtxt.src

# Each feed is a positional input argument for the generated function.  The order
# of each entry matches the order of each input argument.  Here “x_hold” and “y_hold”
# refer to the names of placeholder nodes defined in the graph.
#
## From: input_tensor = tf.placeholder(tf.float32, [None, None, n_input + 2*n_input*n_context], name='input_node')
feed {
  id { node_name: "input_node" }
  shape {
    dim { size: 1 } # Batch size of 1
    dim { size: $DS_MODEL_TIMESTEPS } # aNFrames: 146 for data/ldc93s1/LDC93S1.wav
    dim { size: $DS_MODEL_FRAMESIZE } # frameSize: n_input + 2*n_input*n_context] ; n_input=26, n_context=9
  }
}

#feed {
#  id { node_name: "input_lengths" }
#  shape {
#    dim { size: 1 }
#  }
#}

# Each fetch is a positional output argument for the generated function.  The order
# of each entry matches the order of each output argument.  Here “x_y_prod”
# refers to the name of a matmul node defined in the graph.
#fetch {
#  id { node_name: "output_node" }
#}

fetch {
  id { node_name: "logits" }
}