Summary:
Implementation of ##LSTMWithAttention##
Still TBD:
1. There are problems with back propagation, because gradient is not implemented for ops with broadcasting
2. I need to make initial_recurrent_state to be of shape [dim] rather than [1, batch_size, dim], so one doesn't need to provide batch_size to LSTMWithAttention
Differential Revision: D4298735
fbshipit-source-id: 8903fcff4d6a66647ee6d45a6ef28803fc3091e5
Summary: Another part of making DPER compatible with half-floats. This diffs adds supoprt of fp16 to segment reduction operators used in DPER.
Reviewed By: dzhulgakov
Differential Revision: D4587560
fbshipit-source-id: 0ae10648a7286a820bffaee802464dd9464584bc
Summary: looks like we don't a good job with initial recurrent input gradients yet. Here is some fix, but gradient doesn't check yet. The shape is correct now though
Reviewed By: salexspb
Differential Revision: D4475447
fbshipit-source-id: 280f1f59f19e487fd0dce0d440609c50ddce294a
Summary: Fixes segfaults that occur in Eigen and im2col/sgemm backends.
Reviewed By: Yangqing
Differential Revision: D4451772
fbshipit-source-id: 3cf21e5afb2fe300db4228933a82063db5f7091f
Summary:
lets have a test for this so we don't break existing usecases
while iterating over RecurrentOp's code
Reviewed By: urikz
Differential Revision: D4456404
fbshipit-source-id: 79f2b88c1eed16106adf5b793b4c74441c7146c6
