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def | __init__ (self, model, input_record, init_weights=None, weight_optim=None, name='blob_weighted_sum', kwargs) |
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def | add_ops (self, net) |
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def | __init__ (self, model, prefix, input_record, predict_input_record_fields=None, tags=None, kwargs) |
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def | get_type (self) |
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def | predict_input_record (self) |
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def | input_record (self) |
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def | predict_output_schema (self) |
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def | predict_output_schema (self, output_schema) |
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def | output_schema (self) |
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def | output_schema (self, output_schema) |
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def | get_parameters (self) |
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def | get_fp16_compatible_parameters (self) |
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def | get_memory_usage (self) |
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def | add_init_params (self, init_net) |
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def | create_param (self, param_name, shape, initializer, optimizer, ps_param=None, regularizer=None) |
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def | get_next_blob_reference (self, name) |
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def | add_operators (self, net, init_net=None, context=InstantiationContext.TRAINING) |
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def | add_ops (self, net) |
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def | add_eval_ops (self, net) |
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def | add_train_ops (self, net) |
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def | add_ops_to_accumulate_pred (self, net) |
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def | add_param_copy_operators (self, net) |
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def | export_output_for_metrics (self) |
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def | export_params_for_metrics (self) |
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| blobs |
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| num_weights |
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| weights |
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| output_schema |
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| name |
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| model |
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| kwargs |
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| request_only |
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| precomputation_request_only |
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| precomputation_object_only |
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| eval_output_schema |
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| tags |
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| params |
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This layer implements the weighted sum:
weighted element-wise sum of input blobs.
Definition at line 12 of file blob_weighted_sum.py.
The documentation for this class was generated from the following file: