| /external/tensorflow/tensorflow/python/keras/layers/preprocessing/ |
| D | categorical_encoding_test.py | 57 max_tokens = 6
58 expected_output_shape = [None, max_tokens]
62 max_tokens=max_tokens, output_mode=categorical_encoding.BINARY)
77 max_tokens = 5
78 expected_output_shape = [None, max_tokens]
82 max_tokens=None, output_mode=categorical_encoding.BINARY)
83 layer.set_weights([np.array(max_tokens)])
98 max_tokens = 6
99 expected_output_shape = [None, max_tokens]
103 max_tokens=6, output_mode=categorical_encoding.COUNT)
[all …]
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| D | text_vectorization_test.py | 295 max_tokens=10,
314 max_tokens=None,
334 max_tokens=None,
352 max_tokens=None,
371 max_tokens=None,
395 max_tokens=None,
417 max_tokens=None,
451 max_tokens=None,
464 max_tokens=None,
529 max_tokens=None,
[all …]
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| D | categorical.py | 59 max_tokens=None, argument
64 if max_tokens is not None:
68 self.max_tokens = max_tokens
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| D | categorical_encoding.py | 74 def __init__(self, max_tokens=None, output_mode=COUNT, **kwargs): argument
84 if max_tokens is not None and max_tokens < 1:
89 compute_max_element=max_tokens is None,
93 self._max_tokens = max_tokens
102 if max_tokens is None:
116 if max_tokens is None:
123 shape=tensor_shape.TensorShape((max_tokens,)),
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| D | text_vectorization.py | 203 max_tokens=None, argument
267 if max_tokens is not None and max_tokens < 1:
270 self._max_tokens = max_tokens
285 self._max_vocab_size = max_tokens - 1 if max_tokens is not None else None
330 if max_tokens is not None and self._pad_to_max:
331 vectorize_max_tokens = max_tokens
335 max_tokens=vectorize_max_tokens, output_mode=self._output_mode)
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| /external/google-breakpad/src/processor/ |
| D | tokenize.cc | 47 int max_tokens, in Tokenize() argument
50 tokens->reserve(max_tokens); in Tokenize()
52 int remaining = max_tokens; in Tokenize()
69 return tokens->size() == static_cast<unsigned int>(max_tokens); in Tokenize()
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| D | tokenize.h | 55 int max_tokens,
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| /external/mesa3d/src/gallium/tests/graw/ |
| D | disasm.c | 59 const size_t max_tokens = 1024*1024; in disasm() local
66 tokens = malloc(max_tokens * sizeof *tokens); in disasm()
67 fread(tokens, sizeof *tokens, max_tokens, fp); in disasm()
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| /external/webp/src/utils/ |
| D | huffman_encode_utils.h | 47 HuffmanTreeToken* tokens, int max_tokens);
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| D | huffman_encode_utils.c | 327 HuffmanTreeToken* tokens, int max_tokens) { in VP8LCreateCompressedHuffmanTree() argument
329 HuffmanTreeToken* const ending_token = tokens + max_tokens; in VP8LCreateCompressedHuffmanTree()
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| /external/webp/src/enc/ |
| D | vp8l_enc.c | 591 const int max_tokens = tree->num_symbols; in StoreFullHuffmanCode() local
599 num_tokens = VP8LCreateCompressedHuffmanTree(tree, tokens, max_tokens); in StoreFullHuffmanCode()
780 int max_tokens = 0; in EncodeImageNoHuffman() local
831 if (max_tokens < codes->num_symbols) { in EncodeImageNoHuffman()
832 max_tokens = codes->num_symbols; in EncodeImageNoHuffman()
836 tokens = (HuffmanTreeToken*)WebPSafeMalloc(max_tokens, sizeof(*tokens)); in EncodeImageNoHuffman()
1009 int max_tokens = 0; in EncodeImageInternal() local
1013 if (max_tokens < codes->num_symbols) { in EncodeImageInternal()
1014 max_tokens = codes->num_symbols; in EncodeImageInternal()
1017 tokens = (HuffmanTreeToken*)WebPSafeMalloc(max_tokens, sizeof(*tokens)); in EncodeImageInternal()
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| /external/libtextclassifier/native/actions/ |
| D | actions-suggestions.cc | 572 const int max_tokens, in AllocateInput() argument
602 {conversation_length, max_tokens, token_embedding_size_}); in AllocateInput()
624 int max_tokens = 0; in SetupModelInput() local
637 if (!EmbedTokensPerMessage(tokens, &token_embeddings, &max_tokens)) { in SetupModelInput()
651 if (!AllocateInput(context.size(), max_tokens, total_token_count, in SetupModelInput()
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| D | actions-suggestions.h | 175 bool AllocateInput(const int conversation_length, const int max_tokens,
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| /external/freetype/src/psaux/ |
| D | psobjs.h | 91 FT_UInt max_tokens,
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| D | psobjs.c | 731 FT_UInt max_tokens, in ps_parser_to_token_array() argument
747 T1_Token limit = cur + max_tokens; in ps_parser_to_token_array()
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.layers.experimental.preprocessing.-text-vectorization.pbtxt | 119 …argspec: "args=[\'self\', \'max_tokens\', \'standardize\', \'split\', \'ngrams\', \'output_mode\',…
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.layers.experimental.preprocessing.-text-vectorization.pbtxt | 117 …argspec: "args=[\'self\', \'max_tokens\', \'standardize\', \'split\', \'ngrams\', \'output_mode\',…
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| /external/freetype/include/freetype/internal/ |
| D | psaux.h | 418 FT_UInt max_tokens,
|