blocks' code-base seems to suggest it is exhaustive:
(line 265):
https://github.com/mila-udem/blocks/blob/master/blocks/utils/__init__.py


On Sun, May 14, 2017 at 6:30 PM, David Krueger <
[email protected]> wrote:

> thanks for the response.  Do you know if this is an exhaustive list? (I
> don't care about the distinction between tensors/scalars/dtypes, atm)
>
> Also, pg59 has: "Random streams are at their core shared variables", so I
> guess that clears things up a little bit.
>
>
>
>
>
> On Sun, May 14, 2017 at 7:20 AM, Mohamed Akrout <[email protected]
> > wrote:
>
>> Hi,
>>
>> In the official tutorial
>> <http://deeplearning.net/software/theano/theano.pdf> of Theano, Theano
>> manipulates Tensor and Scalars. Anyone of these two types can be Variable,
>> Shared, or constant.
>>
>> From my understanding, random is not a type by itself because you have
>> theano.tensor.constant type but no theano.tensor.random.
>>
>>
>>
>> On Saturday, May 13, 2017 at 6:22:16 AM UTC+2, David Krueger wrote:
>>>
>>> AFAICT, the basic types are:
>>>
>>> Variable
>>> SharedVariable,
>>> Constant,
>>> random (??)
>>>
>>> are there more?
>>>
>>> Is this documented somewhere?
>>>
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>

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