Config
clear_session(free_memory=True)
Resets all state generated by synalinks.
synalinks manages a global state, which it uses to implement the Functional model-building API and to uniquify autogenerated modules names.
If you are creating many models in a loop, this global state will consume
an increasing amount of memory over time, and you may want to clear it.
Calling clear_session() releases the global state: this helps avoid
clutter from old programs and modules, especially when memory is limited.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
free_memory
|
bool
|
Whether to call Python garbage collection.
It's usually a good practice to call it to make sure
memory used by deleted objects is immediately freed.
However, it may take a few seconds to execute, so
when using |
True
|
Source code in synalinks/src/backend/common/global_state.py
SynalinksFileFormatter
Bases: Formatter
Formatter for file logging that removes ANSI escape codes.
Source code in synalinks/src/backend/config.py
SynalinksLogFormatter
Bases: Formatter
Formatter for console logging with colors and prefix.
Source code in synalinks/src/backend/config.py
api_base()
Returns the Synalinks api base
Returns:
| Type | Description |
|---|---|
str
|
The observability api base |
Source code in synalinks/src/backend/config.py
api_key()
Synalinks API key.
Returns:
| Type | Description |
|---|---|
str
|
Synalinks API key. |
Source code in synalinks/src/backend/config.py
backend()
Publicly accessible method for determining the current backend.
Returns:
| Type | Description |
|---|---|
str
|
The name of the backend synalinks is currently using. like
|
Example:
Source code in synalinks/src/backend/config.py
enable_logging(log_level='debug', log_to_file=False)
Configures and enables logging for the application.
This function sets up the logging configuration for the application, allowing logs to be output either to a specified file or to the console. The logging level can be set to DEBUG for more verbose logging or INFO for standard logging.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
log_level
|
str
|
The logging level. |
'debug'
|
log_to_file
|
bool
|
If True save the logs into |
False
|
The log message format includes the timestamp, log level, and the log message itself.
Source code in synalinks/src/backend/config.py
enable_observability(tracking_uri=None, experiment_name=None)
Configures and enables observability for the application using MLflow.
This function sets up the observability configuration for the application, enabling tracing of module calls via MLflow.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
tracking_uri
|
str
|
Optional. The MLflow tracking server URI. If not provided, MLflow will use the default (local ./mlruns directory or MLFLOW_TRACKING_URI environment variable). |
None
|
experiment_name
|
str
|
Optional. The MLflow experiment name. Defaults to "synalinks_traces". |
None
|
Example:
import synalinks
# Basic usage with defaults
synalinks.enable_observability()
# With custom MLflow tracking server
synalinks.enable_observability(
tracking_uri="http://localhost:5000",
experiment_name="my_experiment"
)
Source code in synalinks/src/backend/config.py
epsilon()
Return the value of the fuzz factor used in numeric expressions.
Returns:
| Type | Description |
|---|---|
float
|
The epsilon value. |
Example:
Source code in synalinks/src/backend/config.py
floatx()
Return the default float type, as a string.
E.g. 'bfloat16', 'float16', 'float32', 'float64'.
Returns:
| Type | Description |
|---|---|
str
|
The current default float type. |
Example:
Source code in synalinks/src/backend/config.py
is_observability_enabled()
Check if the observability is enabled
Returns:
| Type | Description |
|---|---|
bool
|
True if the observability is enabled. |
Source code in synalinks/src/backend/config.py
mlflow_experiment_name()
Returns the MLflow experiment name for observability.
Returns:
| Type | Description |
|---|---|
str
|
The MLflow experiment name. |
Source code in synalinks/src/backend/config.py
mlflow_tracking_uri()
Returns the MLflow tracking URI for observability.
Returns:
| Type | Description |
|---|---|
str
|
The MLflow tracking URI, or None if not set. |
Source code in synalinks/src/backend/config.py
set_api_base(api_base)
Set the observability api base
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
api_base
|
str
|
The observability api base |
required |
Source code in synalinks/src/backend/config.py
set_api_key(key)
Set Synalinks API key.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
key
|
str
|
The API key value. |
required |
The API key is retrieved from the env variables at start.
Or you can setup it using the config
>>> synalinks.config.set_api_key('my-secret-api-key')
>>> synalinks.config.api_key()
'my-secret-api-key'
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
key
|
str
|
Synalinks API key. |
required |
Source code in synalinks/src/backend/config.py
set_epsilon(value)
Set the value of the fuzz factor used in numeric expressions.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
value
|
float
|
The new value of epsilon. |
required |
Examples:
Source code in synalinks/src/backend/config.py
set_floatx(value)
Set the default float dtype.
Note: It is not recommended to set this to "float16",
as this will likely cause numeric stability issues.
Instead, use float64 or float32.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
value
|
str
|
The float type between |
required |
Examples:
Raises:
| Type | Description |
|---|---|
ValueError
|
In case of invalid value. |
Source code in synalinks/src/backend/config.py
set_seed(value)
Set the value of the random seed for reproductability.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
value
|
float
|
The new value of epsilon. |
required |