I write my own keras layer, but i when build it ,the input shape is None
The input code: valuelist contains six tensors which shape is (None,1,128), so the allvalue should be (None,6,128), and query shape is (None,128).
allvalue = Concatenate(axis=-2,name="concatenatet")(valuelist)
print("allvalue",type(allvalue),allvalue.shape)
val2 = MyAttention.Attention3(name="attalpall")([query,allvalue,allvalue])
The allvalue print result is:
allvalue <class 'tensorflow.python.framework.ops.Tensor'> (?, 6, 128)
the Attention3 layer build code:
def build(self, input_shape):
print(input_shape)
self.WQ = self.add_weight(name='WQ',
shape=(input_shape[0][-1], input_shape[0][-1]),
initializer='glorot_uniform',
trainable=True)
self.WK = self.add_weight(name='WK',
shape=(input_shape[1][-1], input_shape[1][-1]),
initializer='glorot_uniform',
trainable=True)
self.WV = self.add_weight(name='WV',
shape=(input_shape[2][-1], input_shape[2][-1]),
initializer='glorot_uniform',
trainable=True)
super(Attention3, self).build(input_shape)
The input_shape print result is：
[(None, 128), None, None]
So I get this error when I build my model.
shape=(input_shape[1][-1], input_shape[1][-1]),
TypeError: 'NoneType' object is not subscriptable
It seems query's shape is right, but I don't know why the allvalue becomes None
python keras keras-layer
asked Nov 16 '18 at 6:06
he.llohe.llo
11
add a comment |
The input code: valuelist contains six tensors which shape is (None,1,128), so the allvalue should be (None,6,128), and query shape is (None,128).
allvalue = Concatenate(axis=-2,name="concatenatet")(valuelist)
print("allvalue",type(allvalue),allvalue.shape)
val2 = MyAttention.Attention3(name="attalpall")([query,allvalue,allvalue])
The allvalue print result is:
allvalue <class 'tensorflow.python.framework.ops.Tensor'> (?, 6, 128)
the Attention3 layer build code:
def build(self, input_shape):
print(input_shape)
self.WQ = self.add_weight(name='WQ',
shape=(input_shape[0][-1], input_shape[0][-1]),
initializer='glorot_uniform',
trainable=True)
self.WK = self.add_weight(name='WK',
shape=(input_shape[1][-1], input_shape[1][-1]),
initializer='glorot_uniform',
trainable=True)
self.WV = self.add_weight(name='WV',
shape=(input_shape[2][-1], input_shape[2][-1]),
initializer='glorot_uniform',
trainable=True)
super(Attention3, self).build(input_shape)
The input_shape print result is：
[(None, 128), None, None]
So I get this error when I build my model.
shape=(input_shape[1][-1], input_shape[1][-1]),
TypeError: 'NoneType' object is not subscriptable
It seems query's shape is right, but I don't know why the allvalue becomes None
python keras keras-layer
asked Nov 16 '18 at 6:06
he.llohe.llo
11
add a comment |
The input code: valuelist contains six tensors which shape is (None,1,128), so the allvalue should be (None,6,128), and query shape is (None,128).
allvalue = Concatenate(axis=-2,name="concatenatet")(valuelist)
print("allvalue",type(allvalue),allvalue.shape)
val2 = MyAttention.Attention3(name="attalpall")([query,allvalue,allvalue])
The allvalue print result is:
allvalue <class 'tensorflow.python.framework.ops.Tensor'> (?, 6, 128)
the Attention3 layer build code:
def build(self, input_shape):
print(input_shape)
self.WQ = self.add_weight(name='WQ',
shape=(input_shape[0][-1], input_shape[0][-1]),
initializer='glorot_uniform',
trainable=True)
self.WK = self.add_weight(name='WK',
shape=(input_shape[1][-1], input_shape[1][-1]),
initializer='glorot_uniform',
trainable=True)
self.WV = self.add_weight(name='WV',
shape=(input_shape[2][-1], input_shape[2][-1]),
initializer='glorot_uniform',
trainable=True)
super(Attention3, self).build(input_shape)
The input_shape print result is：
[(None, 128), None, None]
So I get this error when I build my model.
shape=(input_shape[1][-1], input_shape[1][-1]),
TypeError: 'NoneType' object is not subscriptable
It seems query's shape is right, but I don't know why the allvalue becomes None
python keras keras-layer
asked Nov 16 '18 at 6:06
he.llohe.llo
11
The input code: valuelist contains six tensors which shape is (None,1,128), so the allvalue should be (None,6,128), and query shape is (None,128).
allvalue = Concatenate(axis=-2,name="concatenatet")(valuelist)
print("allvalue",type(allvalue),allvalue.shape)
val2 = MyAttention.Attention3(name="attalpall")([query,allvalue,allvalue])
The allvalue print result is:
allvalue <class 'tensorflow.python.framework.ops.Tensor'> (?, 6, 128)
the Attention3 layer build code:
def build(self, input_shape):
print(input_shape)
self.WQ = self.add_weight(name='WQ',
shape=(input_shape[0][-1], input_shape[0][-1]),
initializer='glorot_uniform',
trainable=True)
self.WK = self.add_weight(name='WK',
shape=(input_shape[1][-1], input_shape[1][-1]),
initializer='glorot_uniform',
trainable=True)
self.WV = self.add_weight(name='WV',
shape=(input_shape[2][-1], input_shape[2][-1]),
initializer='glorot_uniform',
trainable=True)
super(Attention3, self).build(input_shape)
The input_shape print result is：
[(None, 128), None, None]
So I get this error when I build my model.
shape=(input_shape[1][-1], input_shape[1][-1]),
TypeError: 'NoneType' object is not subscriptable
It seems query's shape is right, but I don't know why the allvalue becomes None
python keras keras-layer
python keras keras-layer
asked Nov 16 '18 at 6:06
he.llohe.llo
11
asked Nov 16 '18 at 6:06
he.llohe.llo
11
asked Nov 16 '18 at 6:06
he.llohe.llo
11
asked Nov 16 '18 at 6:06
he.llohe.llo
11
asked Nov 16 '18 at 6:06
he.llohe.llo
11
11
add a comment |
add a comment |
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