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Attentive interface #802

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Attentive interface #802

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varisd
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@varisd varisd commented Mar 15, 2019

Moved attention-related attributes/methods to a separate class Attentive. Every decoder that requires computing attention against the encoders should inherit this class.

jindrahelcl
jindrahelcl reviewed Mar 15, 2019
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Jak se k tomu má encoders/attentive.py ? Jedno z toho bych přejmenoval (spíš ten enkodér) a taky bych tomu enkodéru oddědil věci, který jsou tady vyčleněný, pokud to dává smysl.

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A rekuretní dekodér není attentive?

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varisd commented Mar 15, 2019

Rekurentni je attentive, ale ten tedka predelavam v dalsim PR, tak aby pouzival stejnou implementaci enkoder attentionu jako transformer.
V budoucnu to bude chtit doresit attention_histories a nebo to zpetne narobovat na ty attention objekty.

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varisd commented Mar 15, 2019 •
edited

Jak se k tomu má encoders/attentive.py ? Jedno z toho bych přejmenoval (spíš ten enkodér) a taky bych tomu enkodéru oddědil věci, který jsou tady vyčleněný, pokud to dává smysl.

Vubec nesouvisi. Ono je to tezky: Ondrovo attention_heads jsou neco jineho nez heads v multi_head_attentionu. Nejbliz by se to dalo popsat jako: Ondra udela klasik self-attention (kde queries je prazdny; nedela scaled_dot_product, ale projekce, tak ze to jde), pak dane vektory secte v case a nakonec reshapne z shape(t) na shape(t/h, h).

Tezky je na tom to, ze bychom museli zmenit jeho terminy, aby to nevnaselo zmatek, ale pak by to tolik nesedelo na terminy v tom jeho clanku.

Nechal bych to jako TODO pro refactor attentionu / attention objektu.

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IMHO stačí přejmenovat ten Ondrovo soubor nebo třídu. Něco jako self-attentive temporal encoder nebo tak něco.

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varisd commented Mar 15, 2019 •
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Jo, neco vymyslim.

Edit: Prejmenovano na Structured

@varisd varisd requested a review from jindrahelcl March 18, 2019 16:47
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Napřed prosim vyřešit vztah k #786 plus poznámky, který jsem dal k tomu, rebasnout a pak na to mrknu ještě jednou

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Nejvdřív je potřeba pořešit #796, na kterým je tohleto naroubovaný.

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Takže #796 je na #786 a tohle je na obojím? :-)

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#796 je nezávsilý. #786 z hodo jde vyrebasovat pryč jednoduše.

@jlibovicky jlibovicky force-pushed the autoregressive_refactor branch 2 times, most recently from 3e5ab5a to 89eb9c2 Compare March 26, 2019 09:36
@varisd varisd force-pushed the autoregressive_refactor branch 2 times, most recently from 6ed29a5 to c446c9c Compare April 1, 2019 15:13
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varisd commented May 2, 2019

ping
opravil jsem tests/classifier, tak ted uz by to snad melo byt vse, ne?

@varisd varisd requested a review from jindrahelcl May 9, 2019 12:38
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neuralmonkey/dataset.py Outdated
@@ -95,6 +95,84 @@ def __init__(self,
# pylint: enable=too-few-public-methods


def _bucket_boundaries(max_length, min_length=8, length_bucket_step=1.1):
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typy

neuralmonkey/decoders/attentive.py
@@ -0,0 +1,167 @@
"""TODO."""
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?

neuralmonkey/decoders/attentive.py
the attention.

TODO:
Generalize the attention.
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co je tohle todo?

neuralmonkey/decoders/attentive.py
queries, enc_states, enc_masks, self.n_heads_enc,
self.n_heads_hier, attn_dropout_cbs, dropout_cb)

# TODO: remove this - this is already checked in the constructor
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odstranit? nebo smazat todo?

neuralmonkey/runners/beamsearch_runner.py
@@ -132,7 +132,7 @@ def __init__(self,
postprocess: The postprocessor to apply to the output data.
"""
check_argument_types()
BaseRunner[BeamSearchDecoder].__init__(self, output_series, decoder)
super().__init__(output_series, decoder)
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tyhle změny už jsem dělal a jsou zamergovaný, proč to tu je? je to narebasovaný správně?

requirements-gpu.txt
@@ -9,5 +9,5 @@ python_speech_features
pygments
rouge==0.2.1
typeguard
sacrebleu
sacrebleu==1.3.1
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to tu nemá bejt. nová verze sacrebleu už je kompatibilní - byl to jejich bug

requirements.txt
@@ -9,5 +9,5 @@ python_speech_features
pygments
rouge==0.2.1
typeguard
sacrebleu
sacrebleu==1.3.1
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ditto

tests/mypy_requirements.txt
@@ -1 +1 @@
mypy
mypy==0.660
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pryč

@jindrahelcl
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Vypadá to, že je to špatně narebasovaný, protože se jako součást ukazuje tvuj PR (#818) řešící to, co jsem udělal v #819

@jindrahelcl jindrahelcl mentioned this pull request May 9, 2019
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varisd commented May 9, 2019

Rebase opraven.

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ten pull request je nastavenej na mergování do branche autoregressive_refactor. Nechceš mergovat do mastera?

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@varisd @jlibovicky @jindrahelcl