Searched refs:call_fn (Results 1 – 6 of 6) sorted by relevance
/external/tensorflow/tensorflow/python/keras/saving/saved_model/ |
D | utils.py | 41 def use_wrapped_call(layer, call_fn, default_training_value=None, argument 58 if hasattr(call_fn, 'original_call'): # call_fn is a LayerCall object 59 original_call = call_fn.original_call 61 call_fn = call_fn.__call__ 63 original_call = call_fn 65 original_call, call_fn, expects_training_arg, default_training_value) 90 target=call_fn, 203 def get_training_arg_index(call_fn): argument 215 arg_list = tf_inspect.getfullargspec(call_fn).args 216 if tf_inspect.ismethod(call_fn):
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D | save_impl.py | 165 call_fn = call_collection.add_function( 170 '__call__': call_fn} 456 def _maybe_wrap_with_training_arg(self, call_fn): argument 460 arg_spec = tf_inspect.getfullargspec(call_fn) 475 if tf_inspect.ismethod(call_fn): 485 return call_fn(*args, **kwargs) 488 target=call_fn, 492 return call_fn 494 def add_function(self, call_fn, name): argument 497 self, self._maybe_wrap_with_training_arg(call_fn), name, [all …]
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D | load.py | 813 call_fn = _get_keras_attr(layer).call_and_return_conditional_losses 814 if call_fn.input_signature is None: 815 inputs = infer_inputs_from_restored_call_function(call_fn) 817 inputs = call_fn.input_signature[0]
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | base_layer.py | 846 call_fn = self.call 855 call_fn = autograph.tf_convert(self.call, ag_ctx.control_status_ctx()) 882 outputs = call_fn(inputs, *args, **kwargs) 1020 call_fn = self.call 1024 call_fn = self._autographed_call() 1032 outputs = call_fn(inputs, *args, **kwargs) 1158 call_fn = autograph.tf_convert(self.call, 1161 call_fn = self.call 1166 outputs = call_fn(cast_inputs, *args, **kwargs)
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D | base_layer_v1.py | 775 call_fn = autograph.tf_convert( 778 call_fn = self.call 784 outputs = call_fn(cast_inputs, *args, **kwargs)
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/external/tensorflow/tensorflow/python/keras/ |
D | losses.py | 155 call_fn = self.call 157 call_fn = autograph.tf_convert(self.call, ag_ctx.control_status_ctx()) 158 losses = call_fn(y_true, y_pred)
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