--enable_scope_fusion_passes

Applicability

Product	Supported (Yes/No)
Atlas 350 Accelerator Card	√
Atlas A3 training product/Atlas A3 inference product	√
Atlas A2 training product/Atlas A2 inference product	√
Atlas 200I/500 A2 inference product	√
Atlas inference product	√
Atlas training product	√

Description

Sets the scope fusion pattern (or scope fusion patterns separated by commas) to take effect during build.

Scope fusion patterns (either built-in or custom) are classified into the following two types:

General scope fusion patterns: applicable to all networks. They are enabled by default and cannot be manually changed.
Non-general scope fusion patterns: applicable to specific networks. By default, they are disabled. You can use --enable_scope_fusion_passes to enable selected fusion patterns.

For the full list of supported fusion patterns, see TensorFlow Parser Scope Fusion Patterns.

Argument

Argument: registered fusion pattern names.

Format: Separate fusion pattern names by commas (,), for example, ScopePass1,ScopePass2, ....

Suggestions and Benefits

None

Example

--enable_scope_fusion_passes=ScopePass1,ScopePass2

Restrictions

This option applies only to TensorFlow networks. To view logs related to fusion patterns during model conversion, set --log to at least the warning level.

Parent topic: Model Tuning Options