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60d4d5e1aa
* Remove all __future__ imports from RLlib. * Remove (object) again from tf_run_builder.py::TFRunBuilder. * Fix 2xLINT warnings. * Fix broken appo_policy import (must be appo_tf_policy) * Remove future imports from all other ray files (not just RLlib). * Remove future imports from all other ray files (not just RLlib). * Remove future import blocks that contain `unicode_literals` as well. Revert appo_tf_policy.py to appo_policy.py (belongs to another PR). * Add two empty lines before Schedule class. * Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error.
19 lines
507 B
Python
19 lines
507 B
Python
from ray.rllib.utils.framework import try_import_torch
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torch, _ = try_import_torch()
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def sequence_mask(lengths, maxlen, dtype=torch.bool):
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"""
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Exact same behavior as tf.sequence_mask.
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Thanks to Dimitris Papatheodorou
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(https://discuss.pytorch.org/t/pytorch-equivalent-for-tf-sequence-mask/39036).
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"""
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if maxlen is None:
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maxlen = lengths.max()
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mask = ~(torch.ones((len(lengths), maxlen)).cumsum(dim=1).t() > lengths).\
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t()
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mask.type(dtype)
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return mask
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