Add --printoptions flag to inspect_checkpoint, to control how numpy f…

…ormats tensor values. For example, this allows

  --printoptions threshold=1000000
to print all the values in a large tensor instead of ellipsis in place of most of them.
Change: 148876650

tensorflow/python/tools/inspect_checkpoint.py

@@ -20,8 +20,11 @@
 import argparse
 import sys
 
+import numpy as np
+
 from tensorflow.python import pywrap_tensorflow
 from tensorflow.python.platform import app
+from tensorflow.python.platform import flags
 
 FLAGS = None
 
@@ -58,6 +61,38 @@ def print_tensors_in_checkpoint_file(file_name, tensor_name, all_tensors):
             "with SNAPPY.")
 
 
+def parse_numpy_printoption(kv_str):
+  """Sets a single numpy printoption from a string of the form 'x=y'.
+
+  See documentation on numpy.set_printoptions() for details about what values
+  x and y can take. x can be any option listed there other than 'formatter'.
+
+  Args:
+    kv_str: A string of the form 'x=y', such as 'threshold=100000'
+
+  Raises:
+    argparse.ArgumentTypeError: If the string couldn't be used to set any
+        nump printoption.
+  """
+  k_v_str = kv_str.split("=", 1)
+  if len(k_v_str) != 2 or not k_v_str[0]:
+    raise argparse.ArgumentTypeError("'%s' is not in the form k=v." % kv_str)
+  k, v_str = k_v_str
+  printoptions = np.get_printoptions()
+  if k not in printoptions:
+    raise argparse.ArgumentTypeError("'%s' is not a valid printoption." % k)
+  v_type = type(printoptions[k])
+  if v_type is type(None):
+    raise argparse.ArgumentTypeError(
+        "Setting '%s' from the command line is not supported." % k)
+  try:
+    v = (v_type(v_str) if v_type is not bool
+         else flags.BooleanParser().Parse(v_str))
+  except ValueError as e:
+    raise argparse.ArgumentTypeError(e.message)
+  np.set_printoptions(**{k: v})
+
+
 def main(unused_argv):
   if not FLAGS.file_name:
     print("Usage: inspect_checkpoint --file_name=checkpoint_file_name "
@@ -87,5 +122,10 @@ def main(unused_argv):
       type="bool",
       default=False,
       help="If True, print the values of all the tensors.")
+  parser.add_argument(
+      "--printoptions",
+      nargs="*",
+      type=parse_numpy_printoption,
+      help="Argument for numpy.set_printoptions(), in the form 'k=v'.")
   FLAGS, unparsed = parser.parse_known_args()
   app.run(main=main, argv=[sys.argv[0]] + unparsed)