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" Return `False`, or the Digraph symbol to be used. " if cli.quoted_insert: return '^' if cli.vi_state.waiting_for_digraph: if cli.vi_state.digraph_symbol1: return cli.vi_state.digraph_symbol1 return '?' return False
def _get_digraph_char(self, cli)
Return `False`, or the Digraph symbol to be used.
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digraph_char = self._get_digraph_char(cli) if digraph_char: cpos = new_screen.cursor_position new_screen.data_buffer[cpos.y][cpos.x] = \ _CHAR_CACHE[digraph_char, Token.Digraph]
def _highlight_digraph(self, cli, new_screen)
When we are in Vi digraph mode, put a question mark underneath the cursor.
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key_buffer = cli.input_processor.key_buffer if key_buffer and _in_insert_mode(cli) and not cli.is_done: # The textual data for the given key. (Can be a VT100 escape # sequence.) data = key_buffer[-1].data # Display only if this is a 1 cell width...
def _show_input_processor_key_buffer(self, cli, new_screen)
When the user is typing a key binding that consists of several keys, display the last pressed key if the user is in insert mode and the key is meaningful to be displayed. E.g. Some people want to bind 'jj' to escape in Vi insert mode. But the first 'j' needs to be displayed in order...
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cursor_line_token = (':', ) + self.cursorline_token cursor_column_token = (':', ) + self.cursorcolumn_token data_buffer = new_screen.data_buffer # Highlight cursor line. if self.cursorline(cli): row = data_buffer[cpos.y] for x in range(x, x + wi...
def _highlight_cursorlines(self, cli, new_screen, cpos, x, y, width, height)
Highlight cursor row/column.
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xpos = write_position.xpos + move_x ypos = write_position.ypos margin_write_position = WritePosition(xpos, ypos, width, write_position.height) self._copy_body(cli, lazy_screen, new_screen, margin_write_position, 0, width)
def _copy_margin(self, cli, lazy_screen, new_screen, write_position, move_x, width)
Copy characters from the margin screen to the real screen.
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scroll_offsets_bottom = self.scroll_offsets.bottom scroll_offsets_top = self.scroll_offsets.top # We don't have horizontal scrolling. self.horizontal_scroll = 0 # If the current line consumes more than the whole window height, # then we have to scroll verticall...
def _scroll_when_linewrapping(self, ui_content, width, height, cli)
Scroll to make sure the cursor position is visible and that we maintain the requested scroll offset. Set `self.horizontal_scroll/vertical_scroll`.
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cursor_position = ui_content.cursor_position or Point(0, 0) # Without line wrapping, we will never have to scroll vertically inside # a single line. self.vertical_scroll_2 = 0 if ui_content.line_count == 0: self.vertical_scroll = 0 self.horizont...
def _scroll_without_linewrapping(self, ui_content, width, height, cli)
Scroll to make sure the cursor position is visible and that we maintain the requested scroll offset. Set `self.horizontal_scroll/vertical_scroll`.
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if mouse_event.event_type == MouseEventType.SCROLL_DOWN: self._scroll_down(cli) elif mouse_event.event_type == MouseEventType.SCROLL_UP: self._scroll_up(cli)
def _mouse_handler(self, cli, mouse_event)
Mouse handler. Called when the UI control doesn't handle this particular event.
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" Scroll window down. " info = self.render_info if self.vertical_scroll < info.content_height - info.window_height: if info.cursor_position.y <= info.configured_scroll_offsets.top: self.content.move_cursor_down(cli) self.vertical_scroll += 1
def _scroll_down(self, cli)
Scroll window down.
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" Scroll window up. " info = self.render_info if info.vertical_scroll > 0: # TODO: not entirely correct yet in case of line wrapping and long lines. if info.cursor_position.y >= info.window_height - 1 - info.configured_scroll_offsets.bottom: self.content....
def _scroll_up(self, cli)
Scroll window up.
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if not key_vals: return write_items = self._update(key_vals, overwrite) self._root._root_set(self._path, write_items) self._root._write(commit=True)
def update(self, key_vals=None, overwrite=True)
Locked keys will be overwritten unless overwrite=False. Otherwise, written keys will be added to the "locked" list.
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if isinstance(json_value, dict): if json_value.get("_type") in H5_TYPES: return self.read_h5(path, json_value) elif json_value.get("_type") == 'data-frame': wandb.termerror( 'This data frame was saved via the wandb data API. Co...
def _decode(self, path, json_value)
Decode a `dict` encoded by `Summary._encode()`, loading h5 objects. h5 objects may be very large, so we won't have loaded them automatically.
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# Constructs a new `dict` tree in `json_value` that discards and/or # encodes objects that aren't JSON serializable. if isinstance(value, dict): json_value = {} for key, value in six.iteritems(value): json_value[key] = self._encode(value, path_f...
def _encode(self, value, path_from_root)
Normalize, compress, and encode sub-objects for backend storage. value: Object to encode. path_from_root: `tuple` of key strings from the top-level summary to the current `value`. Returns: A new tree of dict's with large objects replaced with dictionaries wi...
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w = _current_window_for_event(event) b = event.cli.current_buffer if w and w.render_info: info = w.render_info ui_content = info.ui_content # Height to scroll. scroll_height = info.window_height if half: scroll_height //= 2 # Calculate how ...
def scroll_forward(event, half=False)
Scroll window down.
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w = find_window_for_buffer_name(event.cli, event.cli.current_buffer_name) b = event.cli.current_buffer if w: # When the cursor is at the top, move to the next line. (Otherwise, only scroll.) if w.render_info: info = w.render_info if w.vertical_scroll < info.con...
def scroll_one_line_down(event)
scroll_offset += 1
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w = find_window_for_buffer_name(event.cli, event.cli.current_buffer_name) b = event.cli.current_buffer if w: # When the cursor is at the bottom, move to the previous line. (Otherwise, only scroll.) if w.render_info: info = w.render_info if w.vertical_scroll > 0...
def scroll_one_line_up(event)
scroll_offset -= 1
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w = _current_window_for_event(event) b = event.cli.current_buffer if w and w.render_info: # Scroll down one page. line_index = max(w.render_info.last_visible_line(), w.vertical_scroll + 1) w.vertical_scroll = line_index b.cursor_position = b.document.translate_row_col_...
def scroll_page_down(event)
Scroll page down. (Prefer the cursor at the top of the page, after scrolling.)
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w = _current_window_for_event(event) b = event.cli.current_buffer if w and w.render_info: # Put cursor at the first visible line. (But make sure that the cursor # moves at least one line up.) line_index = max(0, min(w.render_info.first_visible_line(), ...
def scroll_page_up(event)
Scroll page up. (Prefer the cursor at the bottom of the page, after scrolling.)
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width = get_cwidth(text) # When the text is too wide, trim it. if width > max_width: # When there are no double width characters, just use slice operation. if len(text) == width: trimmed_text = (text[:max(1, max_width-3)] + '...')[:max_width] return trimmed_text...
def _trim_text(text, max_width)
Trim the text to `max_width`, append dots when the text is too long. Returns (text, width) tuple.
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complete_state = cli.current_buffer.complete_state if complete_state: completions = complete_state.current_completions index = complete_state.complete_index # Can be None! # Calculate width of completions menu. menu_width = self._get_menu_width(...
def create_content(self, cli, width, height)
Create a UIContent object for this control.
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return min(max_width, max(self.MIN_WIDTH, max(get_cwidth(c.display) for c in complete_state.current_completions) + 2))
def _get_menu_width(self, max_width, complete_state)
Return the width of the main column.
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if self._show_meta(complete_state): return min(max_width, max(get_cwidth(c.display_meta) for c in complete_state.current_completions) + 2) else: return 0
def _get_menu_meta_width(self, max_width, complete_state)
Return the width of the meta column.
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b = cli.current_buffer if mouse_event.event_type == MouseEventType.MOUSE_UP: # Select completion. b.go_to_completion(mouse_event.position.y) b.complete_state = None elif mouse_event.event_type == MouseEventType.SCROLL_DOWN: # Scroll up. ...
def mouse_handler(self, cli, mouse_event)
Handle mouse events: clicking and scrolling.
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complete_state = cli.current_buffer.complete_state column_width = self._get_column_width(complete_state) result = int(column_width * math.ceil(len(complete_state.current_completions) / float(self.min_rows))) # When the desired width is still more than the maximum available, ...
def preferred_width(self, cli, max_available_width)
Preferred width: prefer to use at least min_rows, but otherwise as much as possible horizontally.
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complete_state = cli.current_buffer.complete_state column_width = self._get_column_width(complete_state) column_count = max(1, (width - self._required_margin) // column_width) return int(math.ceil(len(complete_state.current_completions) / float(column_count)))
def preferred_height(self, cli, width, max_available_height, wrap_lines)
Preferred height: as much as needed in order to display all the completions.
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complete_state = cli.current_buffer.complete_state column_width = self._get_column_width(complete_state) self._render_pos_to_completion = {} def grouper(n, iterable, fillvalue=None): " grouper(3, 'ABCDEFG', 'x') --> ABC DEF Gxx " args = [iter(iterable)] ...
def create_content(self, cli, width, height)
Create a UIContent object for this menu.
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return max(get_cwidth(c.display) for c in complete_state.current_completions) + 1
def _get_column_width(self, complete_state)
Return the width of each column.
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b = cli.current_buffer def scroll_left(): b.complete_previous(count=self._rendered_rows, disable_wrap_around=True) self.scroll = max(0, self.scroll - 1) def scroll_right(): b.complete_next(count=self._rendered_rows, disable_wrap_around=True) ...
def mouse_handler(self, cli, mouse_event)
Handle scoll and click events.
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if cli.current_buffer.complete_state: state = cli.current_buffer.complete_state return 2 + max(get_cwidth(c.display_meta) for c in state.current_completions) else: return 0
def preferred_width(self, cli, max_available_width)
Report the width of the longest meta text as the preferred width of this control. It could be that we use less width, but this way, we're sure that the layout doesn't change when we select another completion (E.g. that completions are suddenly shown in more or fewer columns.)
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result = [] current = [] for part in token + (':', ): if part == ':': if current: result.append(tuple(current)) current = [] else: current.append(part) return result
def split_token_in_parts(token)
Take a Token, and turn it in a list of tokens, by splitting it on ':' (taking that as a separator.)
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result = DEFAULT_ATTRS for attr in list_of_attrs: result = Attrs( color=attr.color or result.color, bgcolor=attr.bgcolor or result.bgcolor, bold=attr.bold or result.bold, underline=attr.underline or result.underline, italic=attr.italic or...
def merge_attrs(list_of_attrs)
Take a list of :class:`.Attrs` instances and merge them into one. Every `Attr` in the list can override the styling of the previous one.
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def set_text(self, text): # Not abstract. assert isinstance(text, six.string_types) self.set_data(ClipboardData(text))
Shortcut for setting plain text on clipboard.
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self.counter += 1 local_counter = self.counter def timer_timeout(): if self.counter == local_counter and self.running: self.callback() self.loop.call_later(self.timeout, timer_timeout)
def reset(self)
Reset the timeout. Starts a new timer.
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sentry_exc(exc) # this will messily add this "reraise" function to the stack trace # but hopefully it's not too bad six.reraise(type(exc), exc, sys.exc_info()[2])
def sentry_reraise(exc)
Re-raise an exception after logging it to Sentry Use this for top-level exceptions when you want the user to see the traceback. Must be called from within an exception handler.
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parent_dir = os.path.abspath(os.path.dirname(__file__)) vendor_dir = os.path.join(parent_dir, 'vendor') sys.path.insert(1, vendor_dir) return import_module(name)
def vendor_import(name)
This enables us to use the vendor directory for packages we don't depend on
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if name not in _not_importable: try: return import_module(name) except ImportError: _not_importable.add(name) if required: raise ValueError(required) except Exception as e: _not_importable.add(name) msg = "Error...
def get_module(name, required=None)
Return module or None. Absolute import is required. :param (str) name: Dot-separated module path. E.g., 'scipy.stats'. :param (str) required: A string to raise a ValueError if missing :return: (module|None) If import succeeds, the module will be returned.
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instance_name = o.__class__.__module__ + "." + o.__class__.__name__ if instance_name in ["builtins.module", "__builtin__.module"]: return o.__name__ else: return instance_name
def get_full_typename(o)
We determine types based on type names so we don't have to import (and therefore depend on) PyTorch, TensorFlow, etc.
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import matplotlib from matplotlib.figure import Figure if obj == matplotlib.pyplot: obj = obj.gcf() elif not isinstance(obj, Figure): if hasattr(obj, "figure"): obj = obj.figure # Some matplotlib objects have a figure function if not isinstance(ob...
def ensure_matplotlib_figure(obj)
Extract the current figure from a matplotlib object or return the object if it's a figure. raises ValueError if the object can't be converted.
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converted = True typename = get_full_typename(obj) if is_tf_tensor_typename(typename): obj = obj.eval() elif is_pytorch_tensor_typename(typename): try: if obj.requires_grad: obj = obj.detach() except AttributeError: pass # before 0.4...
def json_friendly(obj)
Convert an object into something that's more becoming of JSON
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_DISPLAY_VARIABLES = ['DISPLAY', 'WAYLAND_DISPLAY', 'MIR_SOCKET'] _WEBBROWSER_NAMES_BLACKLIST = [ 'www-browser', 'lynx', 'links', 'elinks', 'w3m'] import webbrowser launch_browser = attempt_launch_browser if launch_browser: if ('linux' in sys.platform and not a...
def launch_browser(attempt_launch_browser=True)
Decide if we should launch a browser
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if os.getenv("TF_CONFIG"): try: return json.loads(os.environ["TF_CONFIG"]) except ValueError: return False else: return False
def parse_tfjob_config()
Attempts to parse TFJob config, returning False if it can't find it
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sagemaker_config = "/opt/ml/input/config/hyperparameters.json" if os.path.exists(sagemaker_config): conf = {} conf["sagemaker_training_job_name"] = os.getenv('TRAINING_JOB_NAME') # Hyper-parameter searchs quote configs... for k, v in six.iteritems(json.load(open(sagemaker_co...
def parse_sm_config()
Attempts to parse SageMaker configuration returning False if it can't find it
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pandas = get_module("pandas") fastparquet = get_module("fastparquet") if not pandas or not fastparquet: raise wandb.Error( "Failed to save data frame: unable to import either pandas or fastparquet.") data_frame_id = generate_id() # We have to call this wandb_run_id because...
def encode_data_frame(name, df, run)
Encode a Pandas DataFrame into the JSON/backend format. Writes the data to a file and returns a dictionary that we use to represent it in `Summary`'s. Arguments: name (str): Name of the DataFrame, eg. the summary key in which it's stored. This is for convenience, so people exploring th...
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if len(key) != 40: click.secho( 'API-key must be exactly 40 characters long: {} ({} chars)'.format(key, len(key))) return None try: normalized_host = host.split("/")[-1].split(":")[0] print("Appending key for %s to your netrc file: %s" % (normalized...
def write_netrc(host, entity, key)
Add our host and key to .netrc
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max_retries = kwargs.pop('max_retries', 30) sleep = 2 retry_count = 0 while True: try: response = func(*args, **kwargs) response.raise_for_status() return response except (requests.exceptions.ConnectionError, requests.exceptions.HT...
def request_with_retry(func, *args, **kwargs)
Perform a requests http call, retrying with exponential backoff. Args: func: An http-requesting function to call, like requests.post max_retries: Maximum retries before giving up. By default we retry 30 times in ~2 hours before dropping the chunk *args: passed through to func **kwar...
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if os.path.isfile(program) and not os.access(program, os.X_OK): # program is a path to a non-executable file try: opened = open(program) except PermissionError: return None first_line = opened.readline().strip() if first_line.startswith('#!'): ...
def find_runner(program)
Return a command that will run program. Args: program: The string name of the program to try to run. Returns: commandline list of strings to run the program (eg. with subprocess.call()) or None
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assert target_length > 1 values = list(values) if len(values) < target_length: return values ratio = float(len(values) - 1) / (target_length - 1) result = [] for i in range(target_length): result.append(values[int(i * ratio)]) return result
def downsample(values, target_length)
Downsamples 1d values to target_length, including start and end. Algorithm just rounds index down. Values can be any sequence, including a generator.
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bool_args = ["-t", "--tty", "--rm","--privileged", "--oom-kill-disable","--no-healthcheck", "-i", "--interactive", "--init", "--help", "--detach", "-d", "--sig-proxy", "-it", "-itd"] last_flag = -2 last_arg = "" possible_images = [] if len(args) > 0 and args[0] == "run": args.po...
def image_from_docker_args(args)
This scans docker run args and attempts to find the most likely docker image argument. If excludes any argments that start with a dash, and the argument after it if it isn't a boolean switch. This can be improved, we currently fallback gracefully when this fails.
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if hasattr(yaml, "full_load"): return yaml.full_load(file) else: return yaml.load(file)
def load_yaml(file)
If pyyaml > 5.1 use full_load to avoid warning
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token_path = "/var/run/secrets/kubernetes.io/serviceaccount/token" if os.path.exists(token_path): k8s_server = "https://{}:{}/api/v1/namespaces/default/pods/{}".format( os.getenv("KUBERNETES_SERVICE_HOST"), os.getenv( "KUBERNETES_PORT_443_TCP_PORT"), os.getenv("HOSTNAME"...
def image_id_from_k8s()
Pings the k8s metadata service for the image id
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q = queue.Queue() def wrapped_target(q, *args, **kwargs): try: q.put(target(*args, **kwargs)) except Exception as e: q.put(e) def wrapper(*args, **kwargs): thread = threading.Thread(target=wrapped_target, args=(q,)+args, kwargs=kwargs) thread.dae...
def async_call(target, timeout=None)
Accepts a method and optional timeout. Returns a new method that will call the original with any args, waiting for upto timeout seconds. This new method blocks on the original and returns the result or None if timeout was reached, along with the thread. You can check thread.isAlive() to dete...
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if six.PY2: now = time.time() else: now = time.monotonic() return now
def stopwatch_now()
Get a timevalue for interval comparisons When possible it is a monotonic clock to prevent backwards time issues.
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if len(self.focus_stack) > 1: try: return self[self.focus_stack[-2]] except KeyError: pass
def previous(self, cli)
Return the previously focussed :class:`.Buffer` or `None`.
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assert isinstance(buffer_name, six.text_type) self.focus_stack = [buffer_name]
def focus(self, cli, buffer_name)
Focus the buffer with the given name.
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assert isinstance(buffer_name, six.text_type) self.focus_stack.append(buffer_name)
def push_focus(self, cli, buffer_name)
Push buffer on the focus stack.
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if len(self.focus_stack) > 1: self.focus_stack.pop() else: raise IndexError('Cannot pop last item from the focus stack.')
def pop_focus(self, cli)
Pop buffer from the focus stack.
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@wraps(func) def wrapper(*args, **kwargs): message = "Whoa, you found a bug." try: return func(*args, **kwargs) except requests.HTTPError as err: raise CommError(err.response, err) except RetryError as err: if "response" in dir(err.last_ex...
def normalize_exceptions(func)
Function decorator for catching common errors and re-raising as wandb.Error
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bites = self.file.read(size) self.bytes_read += len(bites) self.callback(len(bites), self.bytes_read) return bites
def read(self, size=-1)
Read bytes and call the callback
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"Call watch method to log model topology, gradients & weights" # Set self.best, method inherited from "TrackerCallback" by "SaveModelCallback" super().on_train_begin() # Ensure we don't call "watch" multiple times if not WandbCallback.watch_called: WandbCallback.wat...
def on_train_begin(self, **kwargs)
Call watch method to log model topology, gradients & weights
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"Logs training loss, validation loss and custom metrics & log prediction samples & save model" if self.save_model: # Adapted from fast.ai "SaveModelCallback" current = self.get_monitor_value() if current is not None and self.operator(current, self.best): ...
def on_epoch_end(self, epoch, smooth_loss, last_metrics, **kwargs)
Logs training loss, validation loss and custom metrics & log prediction samples & save model
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"Load the best model." if self.save_model: # Adapted from fast.ai "SaveModelCallback" if self.model_path.is_file(): with self.model_path.open('rb') as model_file: self.learn.load(model_file, purge=False) print(f'Loaded best...
def on_train_end(self, **kwargs)
Load the best model.
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if self.stream_name != "default": raise ValueError("Nested streams aren't supported") if self._streams.get(name) == None: self._streams[name] = History(self.fname, out_dir=self.out_dir, add_callback=self._add_callback, stream_nam...
def stream(self, name)
Stream can be used to record different time series: run.history.stream("batch").add({"gradients": 1})
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for row in self.rows: if key in row: yield row[key]
def column(self, key)
Iterator over a given column, skipping steps that don't have that key
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if not isinstance(row, collections.Mapping): raise wandb.Error('history.add expects dict-like object') if step is None: self.update(row) if not self.batched: self._write() else: if not isinstance(step, numbers.Integral): ...
def add(self, row={}, step=None)
Adds or updates a history step. If row isn't specified, will write the current state of row. If step is specified, the row will be written only when add() is called with a different step value. run.history.row["duration"] = 1.0 run.history.add({"loss": 1}) => {"duratio...
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for k, v in six.iteritems(new_vals): k = k.strip() if k in self.row: warnings.warn("Adding history key ({}) that is already set in this step".format( k), wandb.WandbWarning) self.row[k] = v
def update(self, new_vals)
Add a dictionary of values to the current step without writing it to disk.
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if self.batched: # we're already in a context manager raise wandb.Error("Nested History step contexts aren't supported") self.batched = True self.compute = compute yield self if compute: self._write() compute = True
def step(self, compute=True)
Context manager to gradually build a history row, then commit it at the end. To reduce the number of conditionals needed, code can check run.history.compute: with run.history.step(batch_idx % log_interval == 0): run.history.add({"nice": "ok"}) if run.history.compute: ...
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self.rows.append(row) self._keys.update(row.keys()) self._steps += 1
def _index(self, row)
Add a row to the internal list of rows without writing it to disk. This function should keep the data structure consistent so it's usable for both adding new rows, and loading pre-existing histories.
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master_fd, slave_fd = pty.openpty() # raw mode so carriage returns etc. don't get added by the terminal driver, # bash for windows blows up on this so we catch the error and do nothing # TODO(adrian): (when) will this be called on windows? try: tty.setraw(master_fd) except termios.e...
def wandb_pty(resize=True)
Get a PTY set to raw mode and registered to hear about window size changes.
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def _reader_thread(): while True: out = get_data_fn() put_data_fn(out) if not out: # EOF. # We've passed this on so things farther down the pipeline will # know to shut down. break t = threading.Thr...
def spawn_reader_writer(get_data_fn, put_data_fn)
Spawn a thread that reads from a data source and writes to a sink. The thread will terminate if it receives a Falsey value from the source. Args: get_data_fn: Data-reading function. Called repeatedly until it returns False-y to indicate that the thread should terminate. put_data_fn...
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# NOTE: dup2 makes `self._from_fd` inheritable unconditionally self.redir_file.flush() os.dup2(self.orig_file.fileno(), self._from_fd)
def restore(self)
Restore `self.redir_file` to its original state.
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if len(data) == 4: # NOTE: the first parameter of struct.unpack should be # a 'str' object. Both on Py2/py3. This crashes on OSX # otherwise. columns, rows = struct.unpack(str('!HH'), data) self.size_received_callback(rows, columns) el...
def naws(self, data)
Received NAWS. (Window dimensions.)
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command, payload = data[0:1], data[1:] assert isinstance(command, bytes) if command == NAWS: self.naws(payload) else: logger.info('Negotiate (%r got bytes)', len(data))
def negotiate(self, data)
Got negotiate data.
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while True: d = yield if d == int2byte(0): pass # NOP # Go to state escaped. elif d == IAC: d2 = yield if d2 == IAC: self.received_data(d2) # Handle simple commands. ...
def _parse_coroutine(self)
Parser state machine. Every 'yield' expression returns the next byte.
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assert isinstance(data, binary_type) for b in iterbytes(data): self._parser.send(int2byte(b))
def feed(self, data)
Feed data to the parser.
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run = self.settings['run'] project = self.settings['project'] username = self.settings['username'] parts = path.replace("/runs/", "/").split("/") if ":" in parts[-1]: run = parts[-1].split(":")[-1] parts[-1] = parts[-1].split(":")[0] elif ...
def _parse_path(self, path)
Parses paths in the following formats: url: username/project/runs/run_id path: username/project/run_id docker: username/project:run_id username is optional and will fallback to the current logged in user.
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username, project, run = self._parse_path(path) if not self._runs.get(path): self._runs[path + str(filters) + str(order)] = Runs(self.client, username, project, filters=filters, order=order, per_page=per_page) r...
def runs(self, path="", filters={}, order="-created_at", per_page=None)
Return a set of runs from a project that match the filters provided. You can filter by config.*, summary.*, state, username, createdAt, etc. The filters use the same query language as MongoDB: https://docs.mongodb.com/manual/reference/operator/query Order can be created_at, heartbeat_...
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username, project, run = self._parse_path(path) if not self._runs.get(path): self._runs[path] = Run(self.client, username, project, run) return self._runs[path]
def run(self, path="")
Returns a run by parsing path in the form username/project/run, if defaults were set on the Api, only overrides what's passed. I.E. you can just pass run_id if you set username and project on the Api
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run_id = run_id or util.generate_id() project = project or api.settings.get("project") mutation = gql(''' mutation upsertRun($project: String, $entity: String, $name: String!) { upsertBucket(input: {modelName: $project, entityName: $entity, name: $name}) { ...
def create(cls, api, run_id=None, project=None, username=None)
Create a run for the given project
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variables = {'entity': self.username, 'project': self.project, 'name': self.name} variables.update(kwargs) return self.client.execute(query, variable_values=variables)
def _exec(self, query, **kwargs)
Execute a query against the cloud backend
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node = "history" if stream == "default" else "events" query = gql(''' query Run($project: String!, $entity: String!, $name: String!, $samples: Int!) { project(name: $project, entityName: $entity) { run(name: $name) { %s(samples: $samples) } } ...
def history(self, samples=500, pandas=True, stream="default")
Return history metrics for a run Args: samples (int, optional): The number of samples to return pandas (bool, optional): Return a pandas dataframe stream (str, optional): "default" for metrics, "system" for machine metrics
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assert isinstance(exclude, tuple) # When we have a bit of saturation, avoid the gray-like colors, otherwise, # too often the distance to the gray color is less. saturation = abs(r - g) + abs(g - b) + abs(b - r) # Between 0..510 if saturation > 30: exclude += ('ansilightgray', 'ansida...
def _get_closest_ansi_color(r, g, b, exclude=())
Find closest ANSI color. Return it by name. :param r: Red (Between 0 and 255.) :param g: Green (Between 0 and 255.) :param b: Blue (Between 0 and 255.) :param exclude: A tuple of color names to exclude. (E.g. ``('ansired', )``.)
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# Thanks to fabric (fabfile.org), and # http://sqizit.bartletts.id.au/2011/02/14/pseudo-terminals-in-python/ # Inline imports, because these modules are not available on Windows. # (This file is used by ConEmuOutput, which is used on Windows.) import fcntl import termios # Buffer for t...
def _get_size(fileno)
Get the size of this pseudo terminal. :param fileno: stdout.fileno() :returns: A (rows, cols) tuple.
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key = (value, exclude) if key not in self: self[key] = self._get(value, exclude) return self[key]
def get_code(self, value, exclude=())
Return a (ansi_code, ansi_name) tuple. (E.g. ``(44, 'ansiblue')``.) for a given (r,g,b) value.
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" Turn 'ffffff', into (0xff, 0xff, 0xff). " try: rgb = int(color, 16) except ValueError: raise else: r = (rgb >> 16) & 0xff g = (rgb >> 8) & 0xff b = rgb & 0xff return r, g, b
def _color_name_to_rgb(self, color)
Turn 'ffffff', into (0xff, 0xff, 0xff).
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" Return a tuple with the vt100 values that represent this color. " # When requesting ANSI colors only, and both fg/bg color were converted # to ANSI, ensure that the foreground and background color are not the # same. (Unless they were explicitely defined to be the same color.) ...
def _colors_to_code(self, fg_color, bg_color)
Return a tuple with the vt100 values that represent this color.
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assert stdout.isatty() def get_size(): rows, columns = _get_size(stdout.fileno()) # If terminal (incorrectly) reports its size as 0, pick a reasonable default. # See https://github.com/ipython/ipython/issues/10071 return Size(rows=(rows or 24), co...
def from_pty(cls, stdout, true_color=False, ansi_colors_only=None, term=None)
Create an Output class from a pseudo terminal. (This will take the dimensions by reading the pseudo terminal attributes.)
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if self.term not in ('linux', 'eterm-color'): # Not supported by the Linux console. self.write_raw('\x1b]2;%s\x07' % title.replace('\x1b', '').replace('\x07', ''))
def set_title(self, title)
Set terminal title.
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if self.true_color() and not self.ansi_colors_only(): self.write_raw(self._escape_code_cache_true_color[attrs]) else: self.write_raw(self._escape_code_cache[attrs])
def set_attributes(self, attrs)
Create new style and output. :param attrs: `Attrs` instance.
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if not self._buffer: return data = ''.join(self._buffer) try: # (We try to encode ourself, because that way we can replace # characters that don't exist in the character set, avoiding # UnicodeEncodeError crashes. E.g. u'\xb7' does not a...
def flush(self)
Write to output stream and flush.
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global watch_called if run is None: raise ValueError( "You must call `wandb.init` before calling watch") if watch_called: raise ValueError( "You can only call `wandb.watch` once per process. If you want to watch multiple models, pass them in as a tuple." ...
def watch(models, criterion=None, log="gradients", log_freq=100)
Hooks into the torch model to collect gradients and the topology. Should be extended to accept arbitrary ML models. :param (torch.Module) models: The model to hook, can be a tuple :param (torch.F) criterion: An optional loss value being optimized :param (str) log: One of "gradients", "parameters", "al...
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from wandb import jupyter # TODO: Should we log to jupyter? # global logging had to be disabled because it set the level to debug # I also disabled run logging because we're rairly using it. # try_to_set_up_global_logging() # run.enable_logging() api = InternalApi() if not api.api_...
def _init_jupyter(run)
Asks for user input to configure the machine if it isn't already and creates a new run. Log pushing and system stats don't start until `wandb.monitor()` is called.
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global _saved_files if run is None: raise ValueError( "You must call `wandb.init` before calling save") if policy not in ("live", "end"): raise ValueError( 'Only "live" and "end" policies are currently supported.') if base_path is None: base_path = os...
def save(glob_str, base_path=None, policy="live")
Ensure all files matching *glob_str* are synced to wandb with the policy specified. base_path: the base path to run the glob relative to policy: live: upload the file as it changes, overwriting the previous version end: only upload file when the run ends
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if run_path is None and run is None: raise ValueError( "You must call `wandb.init` before calling restore or specify a run_path") api = Api() api_run = api.run(run_path or run.path) root = run.dir if run else root path = os.path.exists(os.path.join(root, name)) if path a...
def restore(name, run_path=None, replace=False, root=".")
Downloads the specified file from cloud storage into the current run directory if it doesn exist. name: the name of the file run_path: optional path to a different run to pull files from replace: whether to download the file even if it already exists locally root: the directory to download the file...
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try: from IPython.display import display except ImportError: def display(stuff): return None class Monitor(): def __init__(self, options={}): if os.getenv("WANDB_JUPYTER"): display(jupyter.Run()) else: self.rm = False ...
def monitor(options={})
Starts syncing with W&B if you're in Jupyter. Displays your W&B charts live in a Jupyter notebook. It's currently a context manager for legacy reasons.
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if run is None: raise ValueError( "You must call `wandb.init` in the same process before calling log") if row is None: row = {} if commit: run.history.add(row, *args, **kargs) else: run.history.update(row, *args, **kargs)
def log(row=None, commit=True, *args, **kargs)
Log a dict to the global run's history. If commit is false, enables multiple calls before commiting. Eg. wandb.log({'train-loss': 0.5, 'accuracy': 0.9})
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global run, config, watch_called, _saved_files run = config = None watch_called = False _saved_files = set()
def uninit()
Undo the effects of init(). Useful for testing.
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if os.getenv(env.INITED): wandb_keys = [key for key in os.environ.keys() if key.startswith( 'WANDB_') and key not in exclude] for key in wandb_keys: del os.environ[key] return True else: return False
def reset_env(exclude=[])
Remove environment variables, used in Jupyter notebooks
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root = logging.getLogger() root.setLevel(logging.DEBUG) formatter = logging.Formatter( '%(asctime)s %(levelname)-7s %(threadName)-10s:%(process)d [%(filename)s:%(funcName)s():%(lineno)s] %(message)s') if env.is_debug(): handler = logging.StreamHandler() handler.setLevel(log...
def try_to_set_up_global_logging()
Try to set up global W&B debug log that gets re-written by every W&B process. It may fail (and return False) eg. if the current directory isn't user-writable
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api_key = overrides.get(env.API_KEY, Api().api_key) if api_key is None: raise ValueError( "Can't find W&B ApiKey, set the WANDB_API_KEY env variable or run `wandb login`") overrides[env.API_KEY] = api_key with open(os.path.join(path, "secrets.env"), "w") as file: for k,...
def sagemaker_auth(overrides={}, path=".")
Write a secrets.env file with the W&B ApiKey and any additional secrets passed. Args: overrides (dict, optional): Additional environment variables to write to secrets.env path (str, optional): The path to write the secrets file.
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if text[0:1] == '#': col = text[1:] if col in ANSI_COLOR_NAMES: return col elif len(col) == 6: return col elif len(col) == 3: return col[0]*2 + col[1]*2 + col[2]*2 elif text == '': return text raise ValueError('Wrong color for...
def _colorformat(text)
Parse/validate color format. Like in Pygments, but also support the ANSI color names. (These will map to the colors of the 16 color palette.)
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