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131 lines
4.9 KiB
131 lines
4.9 KiB
# Copyright 2016 The TensorFlow Authors. All Rights Reserved. |
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# |
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# Licensed under the Apache License, Version 2.0 (the "License"); |
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# you may not use this file except in compliance with the License. |
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# You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, software |
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# distributed under the License is distributed on an "AS IS" BASIS, |
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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# See the License for the specific language governing permissions and |
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# limitations under the License. |
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# ============================================================================== |
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"""A simple script for inspect checkpoint files.""" |
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from __future__ import absolute_import |
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from __future__ import division |
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from __future__ import print_function |
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import argparse |
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import sys |
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import numpy as np |
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from tensorflow.python import pywrap_tensorflow |
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from tensorflow.python.platform import app |
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from tensorflow.python.platform import flags |
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FLAGS = None |
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def print_tensors_in_checkpoint_file(file_name, tensor_name, all_tensors): |
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"""Prints tensors in a checkpoint file. |
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If no `tensor_name` is provided, prints the tensor names and shapes |
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in the checkpoint file. |
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If `tensor_name` is provided, prints the content of the tensor. |
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Args: |
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file_name: Name of the checkpoint file. |
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tensor_name: Name of the tensor in the checkpoint file to print. |
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all_tensors: Boolean indicating whether to print all tensors. |
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""" |
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try: |
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reader = pywrap_tensorflow.NewCheckpointReader(file_name) |
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if all_tensors: |
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var_to_shape_map = reader.get_variable_to_shape_map() |
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for key in var_to_shape_map: |
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print("tensor_name: ", key) |
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print(reader.get_tensor(key)) |
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elif not tensor_name: |
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print(reader.debug_string().decode("utf-8")) |
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else: |
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print("tensor_name: ", tensor_name) |
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print(reader.get_tensor(tensor_name)) |
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except Exception as e: # pylint: disable=broad-except |
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print(str(e)) |
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if "corrupted compressed block contents" in str(e): |
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print("It's likely that your checkpoint file has been compressed " |
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"with SNAPPY.") |
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def parse_numpy_printoption(kv_str): |
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"""Sets a single numpy printoption from a string of the form 'x=y'. |
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See documentation on numpy.set_printoptions() for details about what values |
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x and y can take. x can be any option listed there other than 'formatter'. |
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Args: |
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kv_str: A string of the form 'x=y', such as 'threshold=100000' |
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Raises: |
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argparse.ArgumentTypeError: If the string couldn't be used to set any |
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nump printoption. |
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""" |
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k_v_str = kv_str.split("=", 1) |
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if len(k_v_str) != 2 or not k_v_str[0]: |
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raise argparse.ArgumentTypeError("'%s' is not in the form k=v." % kv_str) |
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k, v_str = k_v_str |
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printoptions = np.get_printoptions() |
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if k not in printoptions: |
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raise argparse.ArgumentTypeError("'%s' is not a valid printoption." % k) |
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v_type = type(printoptions[k]) |
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if v_type is type(None): |
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raise argparse.ArgumentTypeError( |
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"Setting '%s' from the command line is not supported." % k) |
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try: |
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v = (v_type(v_str) if v_type is not bool |
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else flags.BooleanParser().Parse(v_str)) |
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except ValueError as e: |
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raise argparse.ArgumentTypeError(e.message) |
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np.set_printoptions(**{k: v}) |
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def main(unused_argv): |
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if not FLAGS.file_name: |
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print("Usage: inspect_checkpoint --file_name=checkpoint_file_name " |
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"[--tensor_name=tensor_to_print]") |
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sys.exit(1) |
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else: |
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print_tensors_in_checkpoint_file(FLAGS.file_name, FLAGS.tensor_name, |
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FLAGS.all_tensors) |
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if __name__ == "__main__": |
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parser = argparse.ArgumentParser() |
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parser.register("type", "bool", lambda v: v.lower() == "true") |
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parser.add_argument( |
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"--file_name", type=str, default="", help="Checkpoint filename. " |
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"Note, if using Checkpoint V2 format, file_name is the " |
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"shared prefix between all files in the checkpoint.") |
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parser.add_argument( |
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"--tensor_name", |
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type=str, |
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default="", |
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help="Name of the tensor to inspect") |
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parser.add_argument( |
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"--all_tensors", |
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nargs="?", |
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const=True, |
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type="bool", |
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default=False, |
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help="If True, print the values of all the tensors.") |
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parser.add_argument( |
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"--printoptions", |
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nargs="*", |
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type=parse_numpy_printoption, |
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help="Argument for numpy.set_printoptions(), in the form 'k=v'.") |
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FLAGS, unparsed = parser.parse_known_args() |
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app.run(main=main, argv=[sys.argv[0]] + unparsed)
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