NotImplementedError: In() instances and tuple inputs trigger the old semantics...

[Tariq Daouda]

Hello,

Does anyone know what this error means?

Traceback (most recent call last):
File "mlp.py", line 115, in <module>
*nn.train([train_set_x[i]], [train_set_y[i]])*
File "mlp.py", line 75, in train
*return theano.function(inputs = [x, y], outputs = self.cost, updates =
self.updates)*
File
"/u/daoudat/usr/lib/python2.6/site-packages/theano/compile/function.py",
line 205, in function
"In() instances and tuple inputs trigger the old "
*NotImplementedError: In() instances and tuple inputs trigger the old
semantics, which disallow using updates and givens*

Concerning the inputs, train_set_x[i] is a numpy array and train_set_y[i]
is an integer.

Cheers,

Tariq Daouda

[Olivier Delalleau]

What are x, y and self.cost?

-=- Olivier

Post by Tariq Daouda
Hello,
Does anyone know what this error means?
File "mlp.py", line 115, in <module>
nn.train([train_set_x[i]], [train_set_y[i]])
File "mlp.py", line 75, in train
return theano.function(inputs = [x, y], outputs = self.cost, updates = self.updates)
File "/u/daoudat/usr/lib/python2.6/site-packages/theano/compile/function.py", line 205, in function
"In() instances and tuple inputs trigger the old "
NotImplementedError: In() instances and tuple inputs trigger the old semantics, which disallow using updates and givens
Concerning the inputs, train_set_x[i] is a numpy array and train_set_y[i] is an integer.
Cheers,
Tariq Daouda
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[Frédéric Bastien]

Hi,

this mean you are mixing the old interface and the new. You are wrapping
theano inputs in In object. Just remove that wrapping and it will work.

Fred


On Mon, Jun 9, 2014 at 6:22 PM, Olivier Delalleau <

Post by Olivier Delalleau
What are x, y and self.cost?
-=- Olivier
Hello,
Does anyone know what this error means?
File "mlp.py", line 115, in <module>
*nn.train([train_set_x[i]], [train_set_y[i]])*
File "mlp.py", line 75, in train
*return theano.function(inputs = [x, y], outputs = self.cost, updates
= self.updates)*
File
"/u/daoudat/usr/lib/python2.6/site-packages/theano/compile/function.py",
line 205, in function
"In() instances and tuple inputs trigger the old "
*NotImplementedError: In() instances and tuple inputs trigger the old
semantics, which disallow using updates and givens*
Concerning the inputs, train_set_x[i] is a numpy array and train_set_y[i] is an integer.
Cheers,
Tariq Daouda
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[Varun Gupta]

could you please explain how to do this ?

Post by Frédéric Bastien
Hi,
this mean you are mixing the old interface and the new. You are wrapping
theano inputs in In object. Just remove that wrapping and it will work.
Fred

Post by Olivier Delalleau
What are x, y and self.cost?
-=- Olivier
Hello,
Does anyone know what this error means?
File "mlp.py", line 115, in <module>
*nn.train([train_set_x[i]], [train_set_y[i]])*
File "mlp.py", line 75, in train
*return theano.function(inputs = [x, y], outputs = self.cost,
updates = self.updates)*
File
"/u/daoudat/usr/lib/python2.6/site-packages/theano/compile/function.py",
line 205, in function
"In() instances and tuple inputs trigger the old "
*NotImplementedError: In() instances and tuple inputs trigger the old
semantics, which disallow using updates and givens*
Concerning the inputs, train_set_x[i] is a numpy array and train_set_y[i] is an integer.
Cheers,
Tariq Daouda
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[Anonymus]

How did you solve this error ? What unwrapping is required ?

Post by Tariq Daouda
Hello,
Does anyone know what this error means?
File "mlp.py", line 115, in <module>
*nn.train([train_set_x[i]], [train_set_y[i]])*
File "mlp.py", line 75, in train
*return theano.function(inputs = [x, y], outputs = self.cost, updates
= self.updates)*
File
"/u/daoudat/usr/lib/python2.6/site-packages/theano/compile/function.py",
line 205, in function
"In() instances and tuple inputs trigger the old "
*NotImplementedError: In() instances and tuple inputs trigger the old
semantics, which disallow using updates and givens*
Concerning the inputs, train_set_x[i] is a numpy array and train_set_y[i]
is an integer.
Cheers,
Tariq Daouda

[Frédéric Bastien]

Update to Theano 0.8.

Fred

Post by Anonymus
How did you solve this error ? What unwrapping is required ?

Post by Tariq Daouda
Hello,
Does anyone know what this error means?
File "mlp.py", line 115, in <module>
*nn.train([train_set_x[i]], [train_set_y[i]])*
File "mlp.py", line 75, in train
*return theano.function(inputs = [x, y], outputs = self.cost,
updates = self.updates)*
File
"/u/daoudat/usr/lib/python2.6/site-packages/theano/compile/function.py",
line 205, in function
"In() instances and tuple inputs trigger the old "
*NotImplementedError: In() instances and tuple inputs trigger the old
semantics, which disallow using updates and givens*
Concerning the inputs, train_set_x[i] is a numpy array and train_set_y[i]
is an integer.
Cheers,
Tariq Daouda

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[Frédéric Bastien]

What is the running code? Did you update theano as the last message
suggest? What is your Theano version?

Make sure to use Theano 0.9beta1 or 0.9rc1. If the code come from the Deep
learning tutorial, update it. Old combination of DLT and Theano could give
this.

Current Theano version don't raise this error anymore.

Fred

Post by Tariq Daouda
Hello,
Does anyone know what this error means?
File "mlp.py", line 115, in <module>
*nn.train([train_set_x[i]], [train_set_y[i]])*
File "mlp.py", line 75, in train
*return theano.function(inputs = [x, y], outputs = self.cost, updates
= self.updates)*
File
"/u/daoudat/usr/lib/python2.6/site-packages/theano/compile/function.py",
line 205, in function
"In() instances and tuple inputs trigger the old "
*NotImplementedError: In() instances and tuple inputs trigger the old
semantics, which disallow using updates and givens*
Concerning the inputs, train_set_x[i] is a numpy array and train_set_y[i]
is an integer.
Cheers,
Tariq Daouda
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[Francesco Ciompi]

Hi,

I found this message while looking for a solution to this same error
message.
I am using theano 0.9 and python 3.5.

The error I get is:

"In() instances and tuple inputs trigger the old "
NotImplementedError: In() instances and tuple inputs trigger the old
semantics, which disallow using updates and givens

when trying to compile:

self.train_fn = theano.function([input_var, target_var], [loss, out],
updates=updates)

where input_var is actually a Python list of 3 tensor variables of the same
shape.

Could this be the reason for this error? Are lists supported as type of
input variables?

Thanks,
Francesco

Post by Frédéric Bastien
What is the running code? Did you update theano as the last message
suggest? What is your Theano version?
Make sure to use Theano 0.9beta1 or 0.9rc1. If the code come from the Deep
learning tutorial, update it. Old combination of DLT and Theano could give
this.
Current Theano version don't raise this error anymore.
Fred

Post by Tariq Daouda
Hello,
Does anyone know what this error means?
File "mlp.py", line 115, in <module>
*nn.train([train_set_x[i]], [train_set_y[i]])*
File "mlp.py", line 75, in train
*return theano.function(inputs = [x, y], outputs = self.cost,
updates = self.updates)*
File
"/u/daoudat/usr/lib/python2.6/site-packages/theano/compile/function.py",
line 205, in function
"In() instances and tuple inputs trigger the old "
*NotImplementedError: In() instances and tuple inputs trigger the old
semantics, which disallow using updates and givens*
Concerning the inputs, train_set_x[i] is a numpy array and train_set_y[i]
is an integer.
Cheers,
Tariq Daouda
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