The dtype of grad_steps and s_ is float64 while self.truncate_gradient is
a python float.
Sorry I didn't answer it properly previously.
Thanks
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OK, but what is the `dtype` (data type) of those variables?
On 2018-03-06 01:48 PM, Siddhartha Saxena wrote:
grad_steps itself is of with
value "Elemwise{minimum,no_inplace}.0". So here a tensor that is s_ ( of
type Subtensor{::int64}.0}) is being sliced by a variable. Again how it
is
Thanks a lot Pascal, I have solved the problem now, the issue was that
self.truncate_gradient was a float instead of being an int.
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grad_steps itself is of with
value "Elemwise{minimum,no_inplace}.0". So here a tensor that is s_ ( of
type Subtensor{::int64}.0}) is being sliced by a variable. Again how it is
reaching there is what i am unable to understand.
Thanks
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OK, thanks.
self.truncate_gradient should not be a Python float, it should be an
integer.
This is probably why the dtype of grad_steps is float64, instead of
int64 (or another integer dtype).
Do you have any idea why self.truncate_gradient would not be "-1" (the
default value)? Did you set
