Logger

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

labml logger
labml.logger.log()[source]
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)[source]
labml.logger.log(message: str, color: StyleCode, *, is_new_line=True)[source]
labml.logger.log(message: str, colors: List[StyleCode], *, is_new_line=True)[source]
labml.logger.log(messages: List[Union[str, Tuple[str, StyleCode]]], *, is_new_line=True)[source]
labml.logger.log(*args: Union[str, Tuple[str, StyleCode]], is_new_line: bool = True)[source]
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)[source]
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)[source]
labml.logger.inspect(items: List, _expand: bool = False, _n: int = 10)[source]
labml.logger.inspect(*items: any, _expand: bool = False, _n: int = 10)[source]
labml.logger.inspect(**items: any, _expand: bool = False, _n: int = 10)[source]
Keyword Arguments
  • _expand (bool) – whether to expand items

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

Styling

class labml.logger.Text(value)[source]

Standard styles we use in labml

danger = 'red'
heading = 'underline'
highlight = ['bold', 'orange']
key = 'cyan'
meta = 'blue'
meta2 = 'purple'
none = None
subtle = ['light', 'white']
success = 'green'
title = ['bold', 'underline']
value = 'bold'
warning = 'orange'
class labml.logger.Style(value)[source]

Output styles

bold = 'bold'
light = 'light'
none = None
normal = 'normal'
underline = 'underline'
class labml.logger.Color(value)[source]

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)[source]

This is the base class for different style enumerations