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Remove dependency on contrib.learn in inspect_checkpoint binary.
Add inspect checkpoint binary to contrib.learn with additional functionality: - supports sorted output. - inspect checkpoints folder (finds latest checkpoint). Change: 122306430
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tensorflow/contrib/learn/python/learn/utils/inspect_checkpoint.py
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# Copyright 2016 Google Inc. All Rights Reserved. | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
# ============================================================================== | ||
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"""A simple script for inspect checkpoint files.""" | ||
from __future__ import absolute_import | ||
from __future__ import division | ||
from __future__ import print_function | ||
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import sys | ||
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import tensorflow as tf | ||
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from tensorflow.contrib.learn.python.learn.utils import checkpoints | ||
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FLAGS = tf.app.flags.FLAGS | ||
tf.app.flags.DEFINE_string("file_name", "", "Checkpoint filename") | ||
tf.app.flags.DEFINE_string("tensor_name", "", "Name of the tensor to inspect") | ||
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def print_tensors_in_checkpoint_file(file_name, tensor_name): | ||
"""Prints tensors in a checkpoint file. | ||
If no `tensor_name` is provided, prints the tensor names and shapes | ||
in the checkpoint file. | ||
If `tensor_name` is provided, prints the content of the tensor. | ||
Args: | ||
file_name: Name of the checkpoint file. | ||
tensor_name: Name of the tensor in the checkpoint file to print. | ||
""" | ||
try: | ||
if not tensor_name: | ||
variables = checkpoints.list_variables(file_name) | ||
for name, shape in variables: | ||
print("%s\t%s" % (name, str(shape))) | ||
else: | ||
print("tensor_name: ", tensor_name) | ||
print(checkpoints.load_variable(file_name, tensor_name)) | ||
except Exception as e: # pylint: disable=broad-except | ||
print(str(e)) | ||
if "corrupted compressed block contents" in str(e): | ||
print("It's likely that your checkpoint file has been compressed " | ||
"with SNAPPY.") | ||
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def main(unused_argv): | ||
if not FLAGS.file_name: | ||
print("Usage: inspect_checkpoint --file_name=<checkpoint_file_name " | ||
"or directory> [--tensor_name=tensor_to_print]") | ||
sys.exit(1) | ||
else: | ||
print_tensors_in_checkpoint_file(FLAGS.file_name, FLAGS.tensor_name) | ||
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if __name__ == "__main__": | ||
tf.app.run() |
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