Logger

Here is a tutorial on Google Colab that shows how to use the logger module

labml.logger.log()

labml.logger.log(message: str, *, is_new_line: bool = True, is_reset: bool = True)

labml.logger.log(message: str, color: StyleCode, *, is_new_line: bool = True, is_reset: bool = True)

labml.logger.log(message: str, colors: List[StyleCode], *, is_new_line: bool = True, is_reset: bool = True)

labml.logger.log(messages: List[Union[str, Tuple[str, StyleCode]]], *, is_new_line: bool = True, is_reset: bool = True)

labml.logger.log(*args: Union[str, Tuple[str, StyleCode]], is_new_line: bool = True, is_reset: bool = True)

This has multiple overloads

labml.logger.log(message: str, *, is_new_line=True)

labml.logger.log(message: str, color: StyleCode, *, is_new_line=True)

labml.logger.log(message: str, colors: List[StyleCode], *, is_new_line=True)

labml.logger.log(messages: List[Union[str, Tuple[str, StyleCode]]], *, is_new_line=True)

labml.logger.log(*args: Union[str, Tuple[str, StyleCode]], is_new_line: bool = True)

Parameters

• message (str) – string to be printed

• color (StyleCode) – color/style of the message

• colors (List[StyleCode]) – list of colors/styles for the message

• args (Union[str, Tuple[str, StyleCode]]) – list of messages Each element should be either a string or a tuple of string and styles.

• messages (List[Union[str, Tuple[str, StyleCode]]]) – a list of messages. Each element should be either a string or a tuple of string and styles.

Keyword Arguments

is_new_line (bool) – whether to print a new line at the end

Example::

>>> logger.log("test")

labml.logger.inspect(items: Dict, _expand: bool = False, _n: int = 10)

labml.logger.inspect(items: List, _expand: bool = False, _n: int = 10)

labml.logger.inspect(*items: any, _expand: bool = False, _n: int = 10)

labml.logger.inspect(**items: any)

Pretty prints a set of values.

This has multiple overloads

labml.logger.inspect(items: Dict, _expand: bool = False, _n: int = 10)

labml.logger.inspect(items: List, _expand: bool = False, _n: int = 10)

labml.logger.inspect(*items: any, _expand: bool = False, _n: int = 10)

labml.logger.inspect(**items: any, _expand: bool = False, _n: int = 10)

Keyword Arguments

• _expand (bool) – whether to expand items

• _n (int) – number of items to show. -1 for all

Styling

class labml.logger.Text(value)

Standard styles we use in labml

danger = 'red'

heading = 'underline'

highlight = ['bold', 'orange']

key = 'cyan'

link = 'link'

meta = 'blue'

meta2 = 'purple'

none = None

subtle = ['light', 'white']

success = 'green'

title = ['bold', 'underline']

value = 'bold'

warning = 'orange'

class labml.logger.Style(value)

Output styles

bold = 'bold'

light = 'light'

none = None

normal = 'normal'

underline = 'underline'

class labml.logger.Color(value)

Output colors

black = 'black'

blue = 'blue'

cyan = 'cyan'

green = 'green'

none = None

orange = 'orange'

purple = 'purple'

red = 'red'

white = 'white'

class labml.logger.StyleCode(value)

This is the base class for different style enumerations