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tf_util: spelling / docstring updates

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This commit is contained in:
Aaron Morris
2017-05-25 22:51:14 -07:00
committed by AAorris
parent 7327a1560b
commit 2361220dfe
1 changed files with 4 additions and 4 deletions
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8
baselines/common/tf_util.py
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@@ -52,7 +52,7 @@ def argmax(x, axis=None):
def switch(condition, then_expression, else_expression):
'''Switches between two operations depending on a scalar value (int or bool).
"""Switches between two operations depending on a scalar value (int or bool).
Note that both `then_expression` and `else_expression`
should be symbolic tensors of the *same shape*.
@@ -60,7 +60,7 @@ def switch(condition, then_expression, else_expression):
condition: scalar tensor.
then_expression: TensorFlow operation.
else_expression: TensorFlow operation.
'''
"""
x_shape = copy.copy(then_expression.get_shape())
x = tf.cond(tf.cast(condition, 'bool'),
lambda: then_expression,
@@ -362,9 +362,9 @@ def dropout(x, pkeep, phase=None, mask=None):
def function(inputs, outputs, updates=None, givens=None):
"""Just like Theano function. Take a bunch of tensorflow placeholders and expersions
"""Just like Theano function. Take a bunch of tensorflow placeholders and expressions
computed based on those placeholders and produces f(inputs) -> outputs. Function f takes
values to be feed to the inputs placeholders and produces the values of the experessions
values to be fed to the input's placeholders and produces the values of the expressions
in outputs.
Input values can be passed in the same order as inputs or can be provided as kwargs based