modify_graph_and_start_emb_cache
Function
Enables the data loading and preprocessing APIs in automatic graph modification mode.
Prototype
1 | def modify_graph_and_start_emb_cache(full_graph = None, dump_graph = False) |
Parameters
Parameter |
Type |
Mandatory/Optional |
Description |
|---|---|---|---|
full_graph |
tf.Graph |
Optional |
A graph instance can be transferred for graph modification. The default value is none, and none is assigned to tf.compat.v1.get_default_graph(). |
dump_graph |
bool |
Optional |
Whether to save the model graph. The default value is False. Value:
|
Return Value
- Success: None
- Failure: An exception is thrown.
Example
1 2 3 4 | from mx_rec.graph.modifier import modify_graph_and_start_emb_cache MODIFY_GRAPH_FLAG = True if MODIFY_GRAPH_FLAG: modify_graph_and_start_emb_cache(dump_graph=True) |
See Also
For details about the API call sequence and example, see Porting and Training.
Parent topic: Data APIs