如果我有T_i形状(?, k)的{{1}}和形状U的一个张量(?, n)，我怎样才能得到张量(?, k)等于sum(T_i * U[i])？
我尝试过编写一个图层来执行此操作：
class WeightedAverage(_Merge):
"""Layer that computes a mean between samples in several tensors according to weights computed in another tensor.
E.g. if applied to k tensors `a_0` and `a_k` of shape `(batch_size, n)`, and a tensor `b` of shape `(batch_size, k)`
the output will be a tensor of shape `(batch_size, n)`
where each entry `i` will be the dot product between
`sum(a_j[i] * b[j] over j)`.
"""
def __init__(self, **kwargs):
self.weight_tensor = None
super(WeightedAverage, self).__init__(**kwargs)
def _merge_function(self, inputs):
if self.weight_tensor is None:
raise ValueError('A `WeightedAverage` layer should have a weight layer')
shape = inputs[0].get_shape().as_list()
k = shape[1]
n = len(inputs)
all_inputs = K.reshape(Concatenate()(inputs), (-1, n, k))
return K.reshape(K.batch_dot(all_inputs, self.weight_tensor, axes=(1, 2)), (-1, k))
def call(self, inputs, weights):
if weights.shape[1] != len(inputs):
raise ValueError('A `WeightedAverage` weights layer should have as many'
'outputs as there are inputs.')
shape = weights.get_shape().as_list()
self.weight_tensor = K.reshape(weights, (-1, 1, shape[1]))
return super(WeightedAverage, self).call(inputs)
我打电话给：
x = WeightedAverage(name="weightAverage")(Ts, weights=U)
然而，由于张量流量轨迹相当长而失败：
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:993] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
Traceback (most recent call last):
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 1022, in _do_call
return fn(*args)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 1004, in _run_fn
status, run_metadata)
File "/usr/lib/python3.4/contextlib.py", line 66, in __exit__
next(self.gen)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
[[Node: batch_2_1/moments/sufficient_statistics/Gather/_519 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_9178_batch_2_1/moments/sufficient_statistics/Gather", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "train.py", line 118, in <module>
cnn.fit(n_epoch=N_EPOCH, batch_size=BATCH_SIZE, generating=args["generate_data"])
File "/home/ubuntu/models/model.py", line 125, in fit
epochs=n_epoch
File "/usr/local/lib/python3.4/dist-packages/keras/engine/training.py", line 1507, in fit
initial_epoch=initial_epoch)
File "/usr/local/lib/python3.4/dist-packages/keras/engine/training.py", line 1156, in _fit_loop
outs = f(ins_batch)
File "/usr/local/lib/python3.4/dist-packages/keras/backend/tensorflow_backend.py", line 2269, in __call__
**self.session_kwargs)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 767, in run
run_metadata_ptr)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 965, in _run
feed_dict_string, options, run_metadata)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 1015, in _do_run
target_list, options, run_metadata)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 1035, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
[[Node: batch_2_1/moments/sufficient_statistics/Gather/_519 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_9178_batch_2_1/moments/sufficient_statistics/Gather", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
Caused by op 'input_1', defined at:
File "train.py", line 103, in <module>
weather_model = load_model(args["helper_model"])
File "/usr/local/lib/python3.4/dist-packages/keras/models.py", line 246, in load_model
model = model_from_config(model_config, custom_objects=custom_objects)
File "/usr/local/lib/python3.4/dist-packages/keras/models.py", line 314, in model_from_config
return layer_module.deserialize(config, custom_objects=custom_objects)
File "/usr/local/lib/python3.4/dist-packages/keras/layers/__init__.py", line 54, in deserialize
printable_module_name='layer')
File "/usr/local/lib/python3.4/dist-packages/keras/utils/generic_utils.py", line 140, in deserialize_keras_object
list(custom_objects.items())))
File "/usr/local/lib/python3.4/dist-packages/keras/engine/topology.py", line 2450, in from_config
process_layer(layer_data)
File "/usr/local/lib/python3.4/dist-packages/keras/engine/topology.py", line 2419, in process_layer
custom_objects=custom_objects)
File "/usr/local/lib/python3.4/dist-packages/keras/layers/__init__.py", line 54, in deserialize
printable_module_name='layer')
File "/usr/local/lib/python3.4/dist-packages/keras/utils/generic_utils.py", line 142, in deserialize_keras_object
return cls.from_config(config['config'])
File "/usr/local/lib/python3.4/dist-packages/keras/engine/topology.py", line 1242, in from_config
return cls(**config)
File "/usr/local/lib/python3.4/dist-packages/keras/legacy/interfaces.py", line 88, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.4/dist-packages/keras/engine/topology.py", line 1337, in __init__
name=self.name)
File "/usr/local/lib/python3.4/dist-packages/keras/backend/tensorflow_backend.py", line 431, in placeholder
x = tf.placeholder(dtype, shape=shape, name=name)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/ops/array_ops.py", line 1502, in placeholder
name=name)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 2149, in _placeholder
name=name)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/op_def_library.py", line 763, in apply_op
op_def=op_def)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/ops.py", line 2327, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/ops.py", line 1226, in __init__
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
[[Node: batch_2_1/moments/sufficient_statistics/Gather/_519 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_9178_batch_2_1/moments/sufficient_statistics/Gather", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
Exception ignored in: <bound method Session.__del__ of <tensorflow.python.client.session.Session object at 0x7ff0256cf550>>
Traceback (most recent call last):
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 582, in __del__
UnboundLocalError: local variable 'status' referenced before assignment
*** Error in `python3': corrupted size vs. prev_size: 0x00000000021b4ac0 ***
Aborted (core dumped)