2015-07-13 20:58:26 +03:00
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cimport numpy as np
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2023-06-26 12:41:03 +03:00
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from cymem.cymem cimport Pool
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2015-07-13 20:58:26 +03:00
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2015-08-06 01:35:40 +03:00
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from ..attrs cimport attr_id_t
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2023-06-26 12:41:03 +03:00
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from ..structs cimport LexemeC, SpanC, TokenC
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from ..typedefs cimport attr_t
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from ..vocab cimport Vocab
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2015-08-06 01:35:40 +03:00
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cdef attr_t get_token_attr(const TokenC* token, attr_id_t feat_name) nogil
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2020-04-29 13:57:30 +03:00
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cdef attr_t get_token_attr_for_matcher(const TokenC* token, attr_id_t feat_name) nogil
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2015-07-13 20:58:26 +03:00
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ctypedef const LexemeC* const_Lexeme_ptr
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2015-08-28 03:02:33 +03:00
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ctypedef const TokenC* const_TokenC_ptr
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2015-07-13 20:58:26 +03:00
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ctypedef fused LexemeOrToken:
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const_Lexeme_ptr
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2015-08-28 03:02:33 +03:00
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const_TokenC_ptr
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2015-07-13 20:58:26 +03:00
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2020-09-16 21:32:38 +03:00
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cdef int set_children_from_heads(TokenC* tokens, int start, int end) except -1
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2018-03-27 20:23:02 +03:00
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2020-09-16 21:32:38 +03:00
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cdef int _set_lr_kids_and_edges(TokenC* tokens, int start, int end, int loop_count) except -1
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2019-11-25 15:06:36 +03:00
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2015-11-07 00:55:34 +03:00
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cdef int token_by_start(const TokenC* tokens, int length, int start_char) except -2
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cdef int token_by_end(const TokenC* tokens, int length, int end_char) except -2
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2023-07-19 13:03:31 +03:00
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cdef int [:, :] _get_lca_matrix(Doc, int start, int end)
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2018-12-29 20:02:26 +03:00
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2021-01-14 09:30:41 +03:00
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2015-07-13 20:58:26 +03:00
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cdef class Doc:
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2015-07-28 21:46:59 +03:00
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cdef readonly Pool mem
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cdef readonly Vocab vocab
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2015-07-13 20:58:26 +03:00
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2015-09-17 04:50:11 +03:00
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cdef public object _vector
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cdef public object _vector_norm
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2017-05-07 19:04:24 +03:00
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cdef public object tensor
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2017-07-22 01:34:15 +03:00
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cdef public object cats
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2016-10-17 12:43:22 +03:00
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cdef public object user_data
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2021-01-14 09:30:41 +03:00
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cdef readonly object spans
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2016-10-14 04:24:13 +03:00
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2015-11-03 16:15:14 +03:00
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cdef TokenC* c
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2015-07-13 20:58:26 +03:00
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Store activations in `Doc`s when `save_activations` is enabled (#11002)
* Store activations in Doc when `store_activations` is enabled
This change adds the new `activations` attribute to `Doc`. This
attribute can be used by trainable pipes to store their activations,
probabilities, and guesses for downstream users.
As an example, this change modifies the `tagger` and `senter` pipes to
add an `store_activations` option. When this option is enabled, the
probabilities and guesses are stored in `set_annotations`.
* Change type of `store_activations` to `Union[bool, List[str]]`
When the value is:
- A bool: all activations are stored when set to `True`.
- A List[str]: the activations named in the list are stored
* Formatting fixes in Tagger
* Support store_activations in spancat and morphologizer
* Make Doc.activations type visible to MyPy
* textcat/textcat_multilabel: add store_activations option
* trainable_lemmatizer/entity_linker: add store_activations option
* parser/ner: do not currently support returning activations
* Extend tagger and senter tests
So that they, like the other tests, also check that we get no
activations if no activations were requested.
* Document `Doc.activations` and `store_activations` in the relevant pipes
* Start errors/warnings at higher numbers to avoid merge conflicts
Between the master and v4 branches.
* Add `store_activations` to docstrings.
* Replace store_activations setter by set_store_activations method
Setters that take a different type than what the getter returns are still
problematic for MyPy. Replace the setter by a method, so that type inference
works everywhere.
* Use dict comprehension suggested by @svlandeg
* Revert "Use dict comprehension suggested by @svlandeg"
This reverts commit 6e7b958f7060397965176c69649e5414f1f24988.
* EntityLinker: add type annotations to _add_activations
* _store_activations: make kwarg-only, remove doc_scores_lens arg
* set_annotations: add type annotations
* Apply suggestions from code review
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* TextCat.predict: return dict
* Make the `TrainablePipe.store_activations` property a bool
This means that we can also bring back `store_activations` setter.
* Remove `TrainablePipe.activations`
We do not need to enumerate the activations anymore since `store_activations` is
`bool`.
* Add type annotations for activations in predict/set_annotations
* Rename `TrainablePipe.store_activations` to `save_activations`
* Error E1400 is not used anymore
This error was used when activations were still `Union[bool, List[str]]`.
* Change wording in API docs after store -> save change
* docs: tag (save_)activations as new in spaCy 4.0
* Fix copied line in morphologizer activations test
* Don't train in any test_save_activations test
* Rename activations
- "probs" -> "probabilities"
- "guesses" -> "label_ids", except in the edit tree lemmatizer, where
"guesses" -> "tree_ids".
* Remove unused W400 warning.
This warning was used when we still allowed the user to specify
which activations to save.
* Formatting fixes
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Replace "kb_ids" by a constant
* spancat: replace a cast by an assertion
* Fix EOF spacing
* Fix comments in test_save_activations tests
* Do not set RNG seed in activation saving tests
* Revert "spancat: replace a cast by an assertion"
This reverts commit 0bd5730d16432443a2b247316928d4f789ad8741.
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
2022-09-13 10:51:12 +03:00
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cdef public dict activations
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2016-10-19 21:54:03 +03:00
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cdef public dict user_hooks
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cdef public dict user_token_hooks
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cdef public dict user_span_hooks
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2016-10-17 03:42:05 +03:00
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2020-07-03 13:58:16 +03:00
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cdef public bint has_unknown_spaces
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2021-11-02 17:08:22 +03:00
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cdef public object _context
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2015-07-13 23:28:10 +03:00
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2015-07-13 20:58:26 +03:00
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cdef int length
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cdef int max_length
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2016-05-02 16:26:24 +03:00
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cdef public object noun_chunks_iterator
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2016-03-16 17:53:35 +03:00
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2017-10-16 20:22:11 +03:00
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cdef object __weakref__
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2017-09-26 15:28:50 +03:00
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cdef int push_back(self, LexemeOrToken lex_or_tok, bint has_space) except -1
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2015-07-13 20:58:26 +03:00
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cpdef np.ndarray to_array(self, object features)
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