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Remove vectors from vocab
This commit is contained in:
Matthew Honnibal
parent
48eef94f92
commit
15f6efc127
218
spacy/vocab.pyx
218
spacy/vocab.pyx
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@ -26,15 +26,6 @@ from . import attrs
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from . import symbols
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DEF MAX_VEC_SIZE = 100000
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cdef float[MAX_VEC_SIZE] EMPTY_VEC
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memset(EMPTY_VEC, 0, sizeof(EMPTY_VEC))
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memset(&EMPTY_LEXEME, 0, sizeof(LexemeC))
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EMPTY_LEXEME.vector = EMPTY_VEC
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cdef class Vocab:
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"""A look-up table that allows you to access `Lexeme` objects. The `Vocab`
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instance also provides access to the `StringStore`, and owns underlying
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@ -179,7 +170,6 @@ cdef class Vocab:
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lex.orth = self.strings[string]
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lex.length = len(string)
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lex.id = self.length
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lex.vector = <float*>mem.alloc(self.vectors_length, sizeof(float))
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if self.lex_attr_getters is not None:
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for attr, func in self.lex_attr_getters.items():
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value = func(string)
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@ -258,6 +248,26 @@ cdef class Vocab:
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Token.set_struct_attr(token, attr_id, value)
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return tokens
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def get_vector(self, orth):
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"""Retrieve a vector for a word in the vocabulary.
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Words can be looked up by string or int ID.
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RETURNS:
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A word vector. Size and shape determed by the
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vocab.vectors instance. Usually, a numpy ndarray
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of shape (300,) and dtype float32.
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RAISES: If no vectors data is loaded, ValueError is raised.
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"""
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raise NotImplementedError
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def has_vector(self, orth):
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"""Check whether a word has a vector. Returns False if no
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vectors have been loaded. Words can be looked up by string
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or int ID."""
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raise NotImplementedError
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def to_disk(self, path):
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"""Save the current state to a directory.
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@ -271,9 +281,6 @@ cdef class Vocab:
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with strings_loc.open('w', encoding='utf8') as file_:
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self.strings.dump(file_)
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# TODO: pickle
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# self.dump(path / 'lexemes.bin')
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def from_disk(self, path):
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"""Loads state from a directory. Modifies the object in place and
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returns it.
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@ -346,7 +353,6 @@ cdef class Vocab:
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lex_data.data[j] = bytes_ptr[i+j]
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Lexeme.c_from_bytes(lexeme, lex_data)
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lexeme.vector = EMPTY_VEC
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py_str = self.strings[lexeme.orth]
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assert self.strings[py_str] == lexeme.orth, (py_str, lexeme.orth)
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key = hash_string(py_str)
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@ -354,172 +360,6 @@ cdef class Vocab:
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self._by_orth.set(lexeme.orth, lexeme)
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self.length += 1
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# Deprecated --- delete these once stable
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def dump_vectors(self, out_loc):
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"""Save the word vectors to a binary file.
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loc (Path): The path to save to.
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"""
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cdef int32_t vec_len = self.vectors_length
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cdef int32_t word_len
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cdef bytes word_str
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cdef char* chars
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cdef Lexeme lexeme
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cdef CFile out_file = CFile(out_loc, 'wb')
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for lexeme in self:
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word_str = lexeme.orth_.encode('utf8')
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vec = lexeme.c.vector
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word_len = len(word_str)
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out_file.write_from(&word_len, 1, sizeof(word_len))
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out_file.write_from(&vec_len, 1, sizeof(vec_len))
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chars = <char*>word_str
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out_file.write_from(chars, word_len, sizeof(char))
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out_file.write_from(vec, vec_len, sizeof(float))
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out_file.close()
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def load_vectors(self, file_):
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"""Load vectors from a text-based file.
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file_ (buffer): The file to read from. Entries should be separated by
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newlines, and each entry should be whitespace delimited. The first value of the entry
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should be the word string, and subsequent entries should be the values of the
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vector.
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RETURNS (int): The length of the vectors loaded.
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"""
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cdef LexemeC* lexeme
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cdef attr_t orth
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cdef int32_t vec_len = -1
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cdef double norm = 0.0
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whitespace_pattern = re.compile(r'\s', re.UNICODE)
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for line_num, line in enumerate(file_):
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pieces = line.split()
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word_str = " " if whitespace_pattern.match(line) else pieces.pop(0)
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if vec_len == -1:
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vec_len = len(pieces)
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elif vec_len != len(pieces):
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raise VectorReadError.mismatched_sizes(file_, line_num,
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vec_len, len(pieces))
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orth = self.strings[word_str]
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lexeme = <LexemeC*><void*>self.get_by_orth(self.mem, orth)
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lexeme.vector = <float*>self.mem.alloc(vec_len, sizeof(float))
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for i, val_str in enumerate(pieces):
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lexeme.vector[i] = float(val_str)
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norm = 0.0
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for i in range(vec_len):
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norm += lexeme.vector[i] * lexeme.vector[i]
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lexeme.l2_norm = sqrt(norm)
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self.vectors_length = vec_len
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return vec_len
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def load_vectors_from_bin_loc(self, loc):
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"""Load vectors from the location of a binary file.
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loc (unicode): The path of the binary file to load from.
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RETURNS (int): The length of the vectors loaded.
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"""
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cdef CFile file_ = CFile(loc, b'rb')
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cdef int32_t word_len
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cdef int32_t vec_len = 0
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cdef int32_t prev_vec_len = 0
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cdef float* vec
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cdef Address mem
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cdef attr_t string_id
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cdef bytes py_word
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cdef vector[float*] vectors
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cdef int line_num = 0
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cdef Pool tmp_mem = Pool()
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while True:
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try:
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file_.read_into(&word_len, sizeof(word_len), 1)
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except IOError:
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break
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file_.read_into(&vec_len, sizeof(vec_len), 1)
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if prev_vec_len != 0 and vec_len != prev_vec_len:
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raise VectorReadError.mismatched_sizes(loc, line_num,
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vec_len, prev_vec_len)
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if 0 >= vec_len >= MAX_VEC_SIZE:
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raise VectorReadError.bad_size(loc, vec_len)
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chars = <char*>file_.alloc_read(tmp_mem, word_len, sizeof(char))
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vec = <float*>file_.alloc_read(self.mem, vec_len, sizeof(float))
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string_id = self.strings[chars[:word_len]]
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# Insert words into vocab to add vector.
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self.get_by_orth(self.mem, string_id)
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while string_id >= vectors.size():
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vectors.push_back(EMPTY_VEC)
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assert vec != NULL
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vectors[string_id] = vec
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line_num += 1
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cdef LexemeC* lex
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cdef size_t lex_addr
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cdef double norm = 0.0
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cdef int i
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for orth, lex_addr in self._by_orth.items():
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lex = <LexemeC*>lex_addr
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if lex.lower < vectors.size():
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lex.vector = vectors[lex.lower]
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norm = 0.0
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for i in range(vec_len):
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norm += lex.vector[i] * lex.vector[i]
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lex.l2_norm = sqrt(norm)
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else:
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lex.vector = EMPTY_VEC
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self.vectors_length = vec_len
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return vec_len
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def resize_vectors(self, int new_size):
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"""Set vectors_length to a new size, and allocate more memory for the
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`Lexeme` vectors if necessary. The memory will be zeroed.
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new_size (int): The new size of the vectors.
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"""
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cdef hash_t key
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cdef size_t addr
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if new_size > self.vectors_length:
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for key, addr in self._by_hash.items():
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lex = <LexemeC*>addr
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lex.vector = <float*>self.mem.realloc(lex.vector,
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new_size * sizeof(lex.vector[0]))
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self.vectors_length = new_size
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def write_binary_vectors(in_loc, out_loc):
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cdef CFile out_file = CFile(out_loc, 'wb')
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cdef Address mem
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cdef int32_t word_len
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cdef int32_t vec_len
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cdef char* chars
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with bz2.BZ2File(in_loc, 'r') as file_:
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for line in file_:
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pieces = line.split()
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word = pieces.pop(0)
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mem = Address(len(pieces), sizeof(float))
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vec = <float*>mem.ptr
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for i, val_str in enumerate(pieces):
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vec[i] = float(val_str)
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word_len = len(word)
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vec_len = len(pieces)
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out_file.write_from(&word_len, 1, sizeof(word_len))
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out_file.write_from(&vec_len, 1, sizeof(vec_len))
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chars = <char*>word
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out_file.write_from(chars, len(word), sizeof(char))
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out_file.write_from(vec, vec_len, sizeof(float))
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def pickle_vocab(vocab):
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sstore = vocab.strings
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@ -567,21 +407,3 @@ class LookupError(Exception):
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"ID of orth: {orth_id}".format(
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query=repr(original_string), orth_str=repr(id_string), orth_id=id_)
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)
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class VectorReadError(Exception):
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@classmethod
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def mismatched_sizes(cls, loc, line_num, prev_size, curr_size):
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return cls(
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"Error reading word vectors from %s on line %d.\n"
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"All vectors must be the same size.\n"
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"Prev size: %d\n"
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"Curr size: %d" % (loc, line_num, prev_size, curr_size))
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@classmethod
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def bad_size(cls, loc, size):
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return cls(
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"Error reading word vectors from %s.\n"
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"Vector size: %d\n"
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"Max size: %d\n"
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"Min size: 1\n" % (loc, size, MAX_VEC_SIZE))
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