Created
January 11, 2018 14:47
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Get Placeholders in Graph
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from tensorflow.python.framework import ops | |
def get_placeholders(graph): | |
"""Get placeholders of a graph. | |
For example: | |
```python | |
a = tf.placeholder(dtype=tf.float32, shape=[2, 2], name='a') | |
a = tf.placeholder(dtype=tf.int32, shape=[3, 2], name='b') | |
# would give [<tf.Tensor 'a:0' shape=(2, 2) dtype=float32>, | |
# <tf.Tensor 'b:0' shape=(3, 2) dtype=int32>] | |
tf.contrib.framework.get_placeholders(tf.get_default_graph()) | |
``` | |
Args: | |
graph: A tf.Graph. | |
Returns: | |
A list contains all placeholders of given graph. | |
Raises: | |
TypeError: If `graph` is not a tensorflow graph. | |
""" | |
if not isinstance(graph, ops.Graph): | |
raise TypeError("Input graph needs to be a Graph: %s" % graph) | |
# For each placeholder() call, there is a corresponding | |
# operation of type 'Placeholder' registered to the graph. | |
# The return value (a Tensor) of placeholder() is the | |
# first output of this operation in fact. | |
operations = graph.get_operations() | |
result = [i.outputs[0] for i in operations if i.type == "Placeholder"] | |
return result | |
get_placeholders(tf.get_default_graph()) |
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