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Change variable name from inpt to input_ (#297)

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Xiaoquan Kong
2018-11-14 03:08:21 +08:00
committed by pzhokhov
parent 18b6390be6
commit 0a13da8dfe
1 changed files with 4 additions and 4 deletions
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8
baselines/deepq/models.py
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@@ -2,9 +2,9 @@ import tensorflow as tf
import tensorflow.contrib.layers as layers import tensorflow.contrib.layers as layers
def _mlp(hiddens, inpt, num_actions, scope, reuse=False, layer_norm=False): def _mlp(hiddens, input_, num_actions, scope, reuse=False, layer_norm=False):
with tf.variable_scope(scope, reuse=reuse): with tf.variable_scope(scope, reuse=reuse):
out = inpt out = input_
for hidden in hiddens: for hidden in hiddens:
out = layers.fully_connected(out, num_outputs=hidden, activation_fn=None) out = layers.fully_connected(out, num_outputs=hidden, activation_fn=None)
if layer_norm: if layer_norm:
@@ -30,9 +30,9 @@ def mlp(hiddens=[], layer_norm=False):
return lambda *args, **kwargs: _mlp(hiddens, layer_norm=layer_norm, *args, **kwargs) return lambda *args, **kwargs: _mlp(hiddens, layer_norm=layer_norm, *args, **kwargs)
def _cnn_to_mlp(convs, hiddens, dueling, inpt, num_actions, scope, reuse=False, layer_norm=False): def _cnn_to_mlp(convs, hiddens, dueling, input_, num_actions, scope, reuse=False, layer_norm=False):
with tf.variable_scope(scope, reuse=reuse): with tf.variable_scope(scope, reuse=reuse):
out = inpt out = input_
with tf.variable_scope("convnet"): with tf.variable_scope("convnet"):
for num_outputs, kernel_size, stride in convs: for num_outputs, kernel_size, stride in convs:
out = layers.convolution2d(out, out = layers.convolution2d(out,