+++ /dev/null
-# Copyright 2016 The TensorFlow Authors. 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.
-# ==============================================================================
-"""Smoke test for reading records from GCS to TensorFlow."""
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-import sys
-import time
-
-import numpy as np
-import tensorflow as tf
-from tensorflow.core.example import example_pb2
-from tensorflow.python.lib.io import file_io
-
-flags = tf.app.flags
-flags.DEFINE_string("gcs_bucket_url", "",
- "The URL to the GCS bucket in which the temporary "
- "tfrecord file is to be written and read, e.g., "
- "gs://my-gcs-bucket/test-directory")
-flags.DEFINE_integer("num_examples", 10, "Number of examples to generate")
-
-FLAGS = flags.FLAGS
-
-
-def create_examples(num_examples, input_mean):
- """Create ExampleProto's containing data."""
- ids = np.arange(num_examples).reshape([num_examples, 1])
- inputs = np.random.randn(num_examples, 1) + input_mean
- target = inputs - input_mean
- examples = []
- for row in range(num_examples):
- ex = example_pb2.Example()
- ex.features.feature["id"].bytes_list.value.append(str(ids[row, 0]))
- ex.features.feature["target"].float_list.value.append(target[row, 0])
- ex.features.feature["inputs"].float_list.value.append(inputs[row, 0])
- examples.append(ex)
- return examples
-
-
-def create_dir_test():
- """Verifies file_io directory handling methods."""
-
- # Test directory creation.
- starttime_ms = int(round(time.time() * 1000))
- dir_name = "%s/tf_gcs_test_%s" % (FLAGS.gcs_bucket_url, starttime_ms)
- print("Creating dir %s" % dir_name)
- file_io.create_dir(dir_name)
- elapsed_ms = int(round(time.time() * 1000)) - starttime_ms
- print("Created directory in: %d milliseconds" % elapsed_ms)
-
- # Check that the directory exists.
- dir_exists = file_io.is_directory(dir_name)
- assert dir_exists
- print("%s directory exists: %s" % (dir_name, dir_exists))
-
- # Test recursive directory creation.
- starttime_ms = int(round(time.time() * 1000))
- recursive_dir_name = "%s/%s/%s" % (dir_name,
- "nested_dir1",
- "nested_dir2")
- print("Creating recursive dir %s" % recursive_dir_name)
- file_io.recursive_create_dir(recursive_dir_name)
- elapsed_ms = int(round(time.time() * 1000)) - starttime_ms
- print("Created directory recursively in: %d milliseconds" % elapsed_ms)
-
- # Check that the directory exists.
- recursive_dir_exists = file_io.is_directory(recursive_dir_name)
- assert recursive_dir_exists
- print("%s directory exists: %s" % (recursive_dir_name, recursive_dir_exists))
-
- # Create some contents in the just created directory and list the contents.
- num_files = 10
- files_to_create = ["file_%d.txt" % n for n in range(num_files)]
- for file_num in files_to_create:
- file_name = "%s/%s" % (dir_name, file_num)
- print("Creating file %s." % file_name)
- file_io.write_string_to_file(file_name, "test file.")
-
- print("Listing directory %s." % dir_name)
- starttime_ms = int(round(time.time() * 1000))
- directory_contents = file_io.list_directory(dir_name)
- print(directory_contents)
- elapsed_ms = int(round(time.time() * 1000)) - starttime_ms
- print("Listed directory %s in %s milliseconds" % (dir_name, elapsed_ms))
- assert set(directory_contents) == set(files_to_create + ["nested_dir1/"])
-
- # Test directory renaming.
- dir_to_rename = "%s/old_dir" % dir_name
- new_dir_name = "%s/new_dir" % dir_name
- file_io.create_dir(dir_to_rename)
- assert file_io.is_directory(dir_to_rename)
- assert not file_io.is_directory(new_dir_name)
-
- starttime_ms = int(round(time.time() * 1000))
- print("Will try renaming directory %s to %s" % (dir_to_rename, new_dir_name))
- file_io.rename(dir_to_rename, new_dir_name)
- elapsed_ms = int(round(time.time() * 1000)) - starttime_ms
- print("Renamed directory %s to %s in %s milliseconds" % (
- dir_to_rename, new_dir_name, elapsed_ms))
- assert not file_io.is_directory(dir_to_rename)
- assert file_io.is_directory(new_dir_name)
-
- # Test Delete directory recursively.
- print("Deleting directory recursively %s." % dir_name)
- starttime_ms = int(round(time.time() * 1000))
- file_io.delete_recursively(dir_name)
- elapsed_ms = int(round(time.time() * 1000)) - starttime_ms
- dir_exists = file_io.is_directory(dir_name)
- assert not dir_exists
- print("Deleted directory recursively %s in %s milliseconds" % (
- dir_name, elapsed_ms))
-
-
-def create_object_test():
- """Verifies file_io's object manipulation methods ."""
- starttime_ms = int(round(time.time() * 1000))
- dir_name = "%s/tf_gcs_test_%s" % (FLAGS.gcs_bucket_url, starttime_ms)
- print("Creating dir %s." % dir_name)
- file_io.create_dir(dir_name)
-
- num_files = 5
- # Create files of 2 different patterns in this directory.
- files_pattern_1 = ["%s/test_file_%d.txt" % (dir_name, n)
- for n in range(num_files)]
- files_pattern_2 = ["%s/testfile%d.txt" % (dir_name, n)
- for n in range(num_files)]
-
- starttime_ms = int(round(time.time() * 1000))
- files_to_create = files_pattern_1 + files_pattern_2
- for file_name in files_to_create:
- print("Creating file %s." % file_name)
- file_io.write_string_to_file(file_name, "test file creation.")
- elapsed_ms = int(round(time.time() * 1000)) - starttime_ms
- print("Created %d files in %s milliseconds" %
- (len(files_to_create), elapsed_ms))
-
- # Listing files of pattern1.
- list_files_pattern = "%s/test_file*.txt" % dir_name
- print("Getting files matching pattern %s." % list_files_pattern)
- starttime_ms = int(round(time.time() * 1000))
- files_list = file_io.get_matching_files(list_files_pattern)
- elapsed_ms = int(round(time.time() * 1000)) - starttime_ms
- print("Listed files in %s milliseconds" % elapsed_ms)
- print(files_list)
- assert set(files_list) == set(files_pattern_1)
-
- # Listing files of pattern2.
- list_files_pattern = "%s/testfile*.txt" % dir_name
- print("Getting files matching pattern %s." % list_files_pattern)
- starttime_ms = int(round(time.time() * 1000))
- files_list = file_io.get_matching_files(list_files_pattern)
- elapsed_ms = int(round(time.time() * 1000)) - starttime_ms
- print("Listed files in %s milliseconds" % elapsed_ms)
- print(files_list)
- assert set(files_list) == set(files_pattern_2)
-
- # Test renaming file.
- file_to_rename = "%s/oldname.txt" % dir_name
- file_new_name = "%s/newname.txt" % dir_name
- file_io.write_string_to_file(file_to_rename, "test file.")
- assert file_io.file_exists(file_to_rename)
- assert not file_io.file_exists(file_new_name)
-
- print("Will try renaming file %s to %s" % (file_to_rename, file_new_name))
- starttime_ms = int(round(time.time() * 1000))
- file_io.rename(file_to_rename, file_new_name)
- elapsed_ms = int(round(time.time() * 1000)) - starttime_ms
- print("File %s renamed to %s in %s milliseconds" % (
- file_to_rename, file_new_name, elapsed_ms))
- assert not file_io.file_exists(file_to_rename)
- assert file_io.file_exists(file_new_name)
-
- # Delete directory.
- print("Deleting directory %s." % dir_name)
- file_io.delete_recursively(dir_name)
-
-
-def main(argv):
- del argv # Unused.
- # Sanity check on the GCS bucket URL.
- if not FLAGS.gcs_bucket_url or not FLAGS.gcs_bucket_url.startswith("gs://"):
- print("ERROR: Invalid GCS bucket URL: \"%s\"" % FLAGS.gcs_bucket_url)
- sys.exit(1)
-
- # Verify that writing to the records file in GCS works.
- print("\n=== Testing writing and reading of GCS record file... ===")
- example_data = create_examples(FLAGS.num_examples, 5)
- with tf.python_io.TFRecordWriter(FLAGS.gcs_bucket_url) as hf:
- for e in example_data:
- hf.write(e.SerializeToString())
-
- print("Data written to: %s" % FLAGS.gcs_bucket_url)
-
- # Verify that reading from the tfrecord file works and that
- # tf_record_iterator works.
- record_iter = tf.python_io.tf_record_iterator(FLAGS.gcs_bucket_url)
- read_count = 0
- for _ in record_iter:
- read_count += 1
- print("Read %d records using tf_record_iterator" % read_count)
-
- if read_count != FLAGS.num_examples:
- print("FAIL: The number of records read from tf_record_iterator (%d) "
- "differs from the expected number (%d)" % (read_count,
- FLAGS.num_examples))
- sys.exit(1)
-
- # Verify that running the read op in a session works.
- print("\n=== Testing TFRecordReader.read op in a session... ===")
- with tf.Graph().as_default() as _:
- filename_queue = tf.train.string_input_producer([FLAGS.gcs_bucket_url],
- num_epochs=1)
- reader = tf.TFRecordReader()
- _, serialized_example = reader.read(filename_queue)
-
- with tf.Session() as sess:
- sess.run(tf.global_variables_initializer())
- sess.run(tf.local_variables_initializer())
- tf.train.start_queue_runners()
- index = 0
- for _ in range(FLAGS.num_examples):
- print("Read record: %d" % index)
- sess.run(serialized_example)
- index += 1
-
- # Reading one more record should trigger an exception.
- try:
- sess.run(serialized_example)
- print("FAIL: Failed to catch the expected OutOfRangeError while "
- "reading one more record than is available")
- sys.exit(1)
- except tf.errors.OutOfRangeError:
- print("Successfully caught the expected OutOfRangeError while "
- "reading one more record than is available")
-
- create_dir_test()
- create_object_test()
-
-if __name__ == "__main__":
- tf.app.run(main)
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