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Train error #10
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Were you able to solve this? I am trying to run it too. |
In te simple attention layer line 202, I simpy changed To hidden_size = 64 |
WARNING:tensorflow:From /content/ACKRec/layers.py:124: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use
rate
instead ofkeep_prob
. Rate should be set torate = 1 - keep_prob
.Traceback (most recent call last):
File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/tensor_util.py", line 541, in make_tensor_proto
str_values = [compat.as_bytes(x) for x in proto_values]
File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/tensor_util.py", line 541, in
str_values = [compat.as_bytes(x) for x in proto_values]
File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/util/compat.py", line 71, in as_bytes
(bytes_or_text,))
TypeError: Expected binary or unicode string, got None
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "train.py", line 40, in
model = GCN(placeholders=placeholders, input_dim=features.shape[1], num_support=num_support)
File "/content/ACKRec/models.py", line 125, in init
self.build()
File "/content/ACKRec/models.py", line 57, in build
hidden = self.layersi
File "/content/ACKRec/layers.py", line 184, in call
w_omega = tf.get_variable(initializer=tf.random.normal([hidden_size, self.attention_size], stddev=0.1), name='w_omega')
File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/random_ops.py", line 69, in random_normal
shape_tensor = tensor_util.shape_tensor(shape)
File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/tensor_util.py", line 964, in shape_tensor
return ops.convert_to_tensor(shape, dtype=dtype, name="shape")
File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/ops.py", line 1184, in convert_to_tensor
return convert_to_tensor_v2(value, dtype, preferred_dtype, name)
File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/ops.py", line 1242, in convert_to_tensor_v2
as_ref=False)
File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/ops.py", line 1297, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/constant_op.py", line 286, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/constant_op.py", line 227, in constant
allow_broadcast=True)
File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/constant_op.py", line 265, in _constant_impl
allow_broadcast=allow_broadcast))
File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/tensor_util.py", line 545, in make_tensor_proto
"supported type." % (type(values), values))
TypeError: Failed to convert object of type <class 'tuple'> to Tensor. Contents: (None, 32). Consider casting elements to a supported type.
The text was updated successfully, but these errors were encountered: