我正在尝试在tensorflow.keras中创建一个参数激活层，其中权重定义要使用的激活函数，使用if语句和tf.clip_by_value来帮助网络选择要使用的激活函数。但是，当尝试使用模型的'.predict（）'方法时，出现以下错误：“不允许将tf.tensor用作Python bool。”
代码：
class Pact(L.Layer): def __init__(self, **kwargs): super(Pact, self).__init__(**kwargs) self.weight = self.add_weight(shape=(1,1), initializer='random_normal', ) def call(self, inputs): weight = tf.clip_by_value(self.weight, 0, 1) if weight < 0.1: return tf.sin(inputs) elif weight < 0.2: return tf.math.maximum(0.0, inputs) elif weight < 0.3: return tf.nn.swish(inputs) elif weight < 0.4: return tf.math.sigmoid(inputs) elif weight < 0.5: return tf.math.pow(inputs, 2.0) elif weight < 0.6: return tf.math.cos(inputs) - inputs elif weight < 0.7: return tf.math.exp(inputs) elif weight < 0.8: return -(inputs) elif weight < 0.9: return tf.math.pow(inputs, 3.0) else: return inputs追踪：
Traceback (most recent call last):
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/base_layer.py", line 778, in __call__
outputs = call_fn(cast_inputs, *args, **kwargs)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/autograph/impl/api.py", line 292, in wrapper
return func(*args, **kwargs)
File "/home/ai/Projects/Class/layers.py", line 99, in call
if weight < 0.1:
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 757, in __bool__
self._disallow_bool_casting()
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 520, in _disallow_bool_casting
"using a `tf.Tensor` as a Python `bool`")
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 505, in _disallow_when_autograph_disabled
" Try decorating it directly with @tf.function.".format(task))
tensorflow.python.framework.errors_impl.OperatorNotAllowedInGraphError: using a `tf.Tensor` as a Python `bool` is not allowed: AutoGraph is disabled in this function. Try decorating it directly with @tf.function.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "ddpg.py", line 137, in <module>
action = ddpg.get_target_action(state)
File "ddpg.py", line 63, in get_target_action
return self.target_actor.predict(state)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py", line 1013, in predict
use_multiprocessing=use_multiprocessing)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2.py", line 498, in predict
workers=workers, use_multiprocessing=use_multiprocessing, **kwargs)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2.py", line 475, in _model_iteration
total_epochs=1)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2.py", line 128, in run_one_epoch
batch_outs = execution_function(iterator)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2_utils.py", line 98, in execution_function
distributed_function(input_fn))
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 568, in __call__
result = self._call(*args, **kwds)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 615, in _call
self._initialize(args, kwds, add_initializers_to=initializers)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 497, in _initialize
*args, **kwds))
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2389, in _get_concrete_function_internal_garbage_collected
graph_function, _, _ = self._maybe_define_function(args, kwargs)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2703, in _maybe_define_function
graph_function = self._create_graph_function(args, kwargs)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2593, in _create_graph_function
capture_by_value=self._capture_by_value),
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/func_graph.py", line 978, in func_graph_from_py_func
func_outputs = python_func(*func_args, **func_kwargs)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 439, in wrapped_fn
return weak_wrapped_fn().__wrapped__(*args, **kwds)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2_utils.py", line 85, in distributed_function
per_replica_function, args=args)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/distribute/distribute_lib.py", line 763, in experimental_run_v2
return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/distribute/distribute_lib.py", line 1819, in call_for_each_replica
return self._call_for_each_replica(fn, args, kwargs)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/distribute/distribute_lib.py", line 2164, in _call_for_each_replica
return fn(*args, **kwargs)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/autograph/impl/api.py", line 292, in wrapper
return func(*args, **kwargs)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2_utils.py", line 212, in _predict_on_batch
result = predict_on_batch(model, x)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2_utils.py", line 556, in predict_on_batch
return predict_on_batch_fn(inputs) # pylint: disable=not-callable
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/base_layer.py", line 778, in __call__
outputs = call_fn(cast_inputs, *args, **kwargs)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/network.py", line 717, in call
convert_kwargs_to_constants=base_layer_utils.call_context().saving)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/network.py", line 891, in _run_internal_graph
output_tensors = layer(computed_tensors, **kwargs)
File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/base_layer.py", line 785, in __call__
str(e) + '\n"""')
TypeError: You are attempting to use Python control flow in a layer that was not declared to be dynamic. Pass `dynamic=True` to the class constructor.
Encountered error:
"""
using a `tf.Tensor` as a Python `bool` is not allowed: AutoGraph is disabled in this function. Try decorating it directly with @tf.function.
"""
我正在尝试在tensorflow.keras中创建一个参数化激活层，其中权重定义要使用的激活函数，使用if语句和tf.clip_by_value来帮助网络选择...
tf.where。