Set the signal handlers to the default.

Releases this mutex.

Update nesting state with current line. Args: filename: The name of the current file. clean_lines: A CleansedLines instance containin

Fill up the include_state with new includes found from the file. Args: filename: the name of the header to read. include_state: an _Include

Update preprocessor stack. We need to handle preprocessors due to classes like this: #ifdef SWIG struct ResultDetailsPageElementExten

Generates non-fatal failures and returns false if regex is invalid; otherwise returns true.

Blocks until the controller thread notifies. Must be called from a test thread.

Reads the GTEST_SHARD_STATUS_FILE environment variable, and creates the file if the variable is present. If a file already exists at this location, th

Figures out what kind of header 'include' is. Args: fileinfo: The current file cpplint is running over. A FileInfo instance. include: The p

Collapses strings and chars on a line to simple "" or '' blocks. We nix strings first so we're not fooled by text like '"http://"' Args:

Returns the module's list of output filters, as a list.

r"""Retrieves all the text between matching open and close parentheses. Given a string of lines and a regular expression string, retrieve all the t

Determines if the given filename has a suffix that identifies it as a test. Args: filename: The input filename. Returns: True if 'filena

Gets the module's output format.

Sets the module's counting options.

Sets the module's error-message filters. These filters are applied when deciding whether to emit a given error message. Args: filters: A s

Sets the module's output format.

If confidence >= verbose, category passes filter and is not suppressed.

Returns the TestResult for the ad hoc test.

Converts a N-dimensional array to blob proto. If diff is given, also convert the diff. You need to make sure that arr and diff have the same s

Convert a blob proto to an array. In default, we will just return the data, unless return_diff is True, in which case we will return the diff

In addition, MKL comes with an additional function axpby that is not present in standard blas. We will simply use a two-step (inefficient, of course)

Define colors for nodes based on the layer type.

Configure crop dimensions and amount of context for cropping. If context is included, make the special input mean for context padding

Returns the TestCase object for the test that's currently running, or NULL if no test is running. L < mutex_

Do windowed detection over Selective Search proposals by extracting the crop and warping to the input dimensions of the net.

Draws a caffe net and returns the image string encoded using the given extension. Parameters ---------- caffe_net : a caffe.proto.caf

Controls whether events will be forwarded to listeners_. Set to false in death test child processes.

Define edge label based on layer type.

Define node label based on layer type. Parameters ---------- layer : ? rankdir : {'LR', 'TB', 'BT'} Direction of graph layout

Get year from log file system timestamp

Get dictionary mapping pooling type number to type name

Create a data structure which represents the `caffe_net`. Parameters ---------- caffe_net : object rankdir : {'LR', 'TB', 'BT'}

Find start time from group of lines

Returns true iff this is NAN (not a number).

Do the file extension and encoding match?

Gets the message associated with the test part.

Find out the correspondence between layer names and parameter names.

* @brief Specifies whether the layer should compute gradients w.r.t. a * parameter at a particular index given by param_id. * * You ca

Parse input arguments

Parse log file Returns (train_dict_list, train_dict_names, test_dict_list, test_dict_names) train_dict_list and test_dict_list are lists of d

Predict classification probabilities of inputs. Parameters ---------- inputs : iterable of (H x W x K) input ndarray

Usage: caffe_('reset')

Takes an image name, resize it and crop the center square

Resize an image array with interpolation. Parameters ---------- im : (H x W x K) ndarray new_dims : (height, width) tuple of new

Save CSV files to output_dir If the input log file is, e.g., caffe.INFO, the names will be caffe.INFO.train and caffe.INFO.test

* @brief Sets the loss associated with a top blob at a given index. */

STL-style container methods.

Gets the number of successful tests.

Returns the number of the test properties.

Time: benchmark the execution time of a model.

Generate a NetParameter that contains all layers needed to compute all arguments.

Generate a NetParameter that contains all layers needed to compute this top.

Gets the number of all test parts. This is the sum of the number of successful test parts and the number of failed test parts.