Created
May 5, 2016 10:54
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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. | |
# ============================================================================== | |
"""A simple script for inspect checkpoint files.""" | |
from __future__ import absolute_import | |
from __future__ import division | |
from __future__ import print_function | |
import sys | |
import tensorflow as tf | |
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") | |
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: | |
reader = tf.train.NewCheckpointReader(file_name) | |
if not tensor_name: | |
print(reader.debug_string().decode("utf-8")) | |
else: | |
print("tensor_name: ", tensor_name) | |
print(reader.get_tensor(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.") | |
def main(unused_argv): | |
if not FLAGS.file_name: | |
print("Usage: inspect_checkpoint --file_name=checkpoint_file_name " | |
"[--tensor_name=tensor_to_print]") | |
sys.exit(1) | |
else: | |
print_tensors_in_checkpoint_file(FLAGS.file_name, FLAGS.tensor_name) | |
if __name__ == "__main__": | |
tf.app.run() |
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