Keras Lambda layer error: did not return a tensor
0
I am using Lambda to create a self attention layer, but it raise an error that the output of lambda layer is not a tensor.
My code:
def selfAttention(x):
# input shape [None, n_window_sizes, n_hidden]
temp_transpose = K.transpose(x)
inputs_transpose = K.permute_dimensions(temp_transpose, [2, 0, 1]) # [None, n_hidden, n_window_sizes]
temp_weights = tf.matmul(x, inputs_transpose)
weights = tf.nn.softmax(temp_weights)
output = tf.matmul(weights, x)
return output
I call Lambda function as below:
attention_input = K.stack([lstm[0], lstm[1], lstm[2]], axis = 1)
l_attention = Lambda(selfAttention)(attention_input)
python tensorflow keras lstm keras-layer
edited Nov 12 '18 at 6:48
Milo Lu
1,58711327
asked Nov 12 '18 at 4:52
Cindy
84
add a comment |
0
I am using Lambda to create a self attention layer, but it raise an error that the output of lambda layer is not a tensor.
My code:
def selfAttention(x):
# input shape [None, n_window_sizes, n_hidden]
temp_transpose = K.transpose(x)
inputs_transpose = K.permute_dimensions(temp_transpose, [2, 0, 1]) # [None, n_hidden, n_window_sizes]
temp_weights = tf.matmul(x, inputs_transpose)
weights = tf.nn.softmax(temp_weights)
output = tf.matmul(weights, x)
return output
I call Lambda function as below:
attention_input = K.stack([lstm[0], lstm[1], lstm[2]], axis = 1)
l_attention = Lambda(selfAttention)(attention_input)
python tensorflow keras lstm keras-layer
edited Nov 12 '18 at 6:48
Milo Lu
1,58711327
asked Nov 12 '18 at 4:52
Cindy
84
Can you post the error?
– spicyramen
Nov 12 '18 at 5:40
it says that the output of Lambda is type: <class 'tensorflow.python.keras._impl.keras.layers.core.lambda'>, and required input of next layer is tensor
– Cindy
Nov 12 '18 at 5:50
SOLVED!! Fixed with use lambda wrap for K.stack
– Cindy
Nov 12 '18 at 6:14
add a comment |
0
0
0
I am using Lambda to create a self attention layer, but it raise an error that the output of lambda layer is not a tensor.
My code:
def selfAttention(x):
# input shape [None, n_window_sizes, n_hidden]
temp_transpose = K.transpose(x)
inputs_transpose = K.permute_dimensions(temp_transpose, [2, 0, 1]) # [None, n_hidden, n_window_sizes]
temp_weights = tf.matmul(x, inputs_transpose)
weights = tf.nn.softmax(temp_weights)
output = tf.matmul(weights, x)
return output
I call Lambda function as below:
attention_input = K.stack([lstm[0], lstm[1], lstm[2]], axis = 1)
l_attention = Lambda(selfAttention)(attention_input)
python tensorflow keras lstm keras-layer
edited Nov 12 '18 at 6:48
Milo Lu
1,58711327
asked Nov 12 '18 at 4:52
Cindy
84
I am using Lambda to create a self attention layer, but it raise an error that the output of lambda layer is not a tensor.
My code:
def selfAttention(x):
# input shape [None, n_window_sizes, n_hidden]
temp_transpose = K.transpose(x)
inputs_transpose = K.permute_dimensions(temp_transpose, [2, 0, 1]) # [None, n_hidden, n_window_sizes]
temp_weights = tf.matmul(x, inputs_transpose)
weights = tf.nn.softmax(temp_weights)
output = tf.matmul(weights, x)
return output
I call Lambda function as below:
attention_input = K.stack([lstm[0], lstm[1], lstm[2]], axis = 1)
l_attention = Lambda(selfAttention)(attention_input)
python tensorflow keras lstm keras-layer
python tensorflow keras lstm keras-layer
edited Nov 12 '18 at 6:48
Milo Lu
1,58711327
asked Nov 12 '18 at 4:52
Cindy
84
edited Nov 12 '18 at 6:48
Milo Lu
1,58711327
asked Nov 12 '18 at 4:52
Cindy
84
edited Nov 12 '18 at 6:48
Milo Lu
1,58711327
edited Nov 12 '18 at 6:48
Milo Lu
1,58711327
edited Nov 12 '18 at 6:48
Milo Lu
1,58711327
1,58711327
asked Nov 12 '18 at 4:52
Cindy
84
asked Nov 12 '18 at 4:52
Cindy
84
asked Nov 12 '18 at 4:52
Cindy
84
84
Can you post the error?
– spicyramen
Nov 12 '18 at 5:40
it says that the output of Lambda is type: <class 'tensorflow.python.keras._impl.keras.layers.core.lambda'>, and required input of next layer is tensor
– Cindy
Nov 12 '18 at 5:50
SOLVED!! Fixed with use lambda wrap for K.stack
– Cindy
Nov 12 '18 at 6:14
add a comment |
Can you post the error?
– spicyramen
Nov 12 '18 at 5:40
it says that the output of Lambda is type: <class 'tensorflow.python.keras._impl.keras.layers.core.lambda'>, and required input of next layer is tensor
– Cindy
Nov 12 '18 at 5:50
SOLVED!! Fixed with use lambda wrap for K.stack
– Cindy
Nov 12 '18 at 6:14
Can you post the error?
– spicyramen
Nov 12 '18 at 5:40
Can you post the error?
– spicyramen
Nov 12 '18 at 5:40
it says that the output of Lambda is type: <class 'tensorflow.python.keras._impl.keras.layers.core.lambda'>, and required input of next layer is tensor
– Cindy
Nov 12 '18 at 5:50
it says that the output of Lambda is type: <class 'tensorflow.python.keras._impl.keras.layers.core.lambda'>, and required input of next layer is tensor
– Cindy
Nov 12 '18 at 5:50
SOLVED!! Fixed with use lambda wrap for K.stack
– Cindy
Nov 12 '18 at 6:14
SOLVED!! Fixed with use lambda wrap for K.stack
– Cindy
Nov 12 '18 at 6:14
add a comment |
1 Answer
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Use lambda function to wrap K.stack as follow will solve the problem.
attention_input = Lambda(lambda x: K.stack([x[0], x[1], x[2]], axis = 1))([lstm[0], lstm[1], lstm[2]])
answered Nov 13 '18 at 5:40
Cindy
84
add a comment |
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1 Answer
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votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
0
Use lambda function to wrap K.stack as follow will solve the problem.
attention_input = Lambda(lambda x: K.stack([x[0], x[1], x[2]], axis = 1))([lstm[0], lstm[1], lstm[2]])
answered Nov 13 '18 at 5:40
Cindy
84
add a comment |
0
Use lambda function to wrap K.stack as follow will solve the problem.
attention_input = Lambda(lambda x: K.stack([x[0], x[1], x[2]], axis = 1))([lstm[0], lstm[1], lstm[2]])
answered Nov 13 '18 at 5:40
Cindy
84
add a comment |
0
0
0
Use lambda function to wrap K.stack as follow will solve the problem.
attention_input = Lambda(lambda x: K.stack([x[0], x[1], x[2]], axis = 1))([lstm[0], lstm[1], lstm[2]])
answered Nov 13 '18 at 5:40
Cindy
84
Use lambda function to wrap K.stack as follow will solve the problem.
attention_input = Lambda(lambda x: K.stack([x[0], x[1], x[2]], axis = 1))([lstm[0], lstm[1], lstm[2]])
answered Nov 13 '18 at 5:40
Cindy
84
answered Nov 13 '18 at 5:40
Cindy
84
answered Nov 13 '18 at 5:40
Cindy
84
answered Nov 13 '18 at 5:40
Cindy
84
84
add a comment |
add a comment |
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Can you post the error?
– spicyramen
Nov 12 '18 at 5:40
it says that the output of Lambda is type: <class 'tensorflow.python.keras._impl.keras.layers.core.lambda'>, and required input of next layer is tensor
– Cindy
Nov 12 '18 at 5:50
SOLVED!! Fixed with use lambda wrap for K.stack
– Cindy
Nov 12 '18 at 6:14