| /external/tensorflow/tensorflow/python/keras/layers/preprocessing/ |
| D | text_vectorization_test.py | 402 max_tokens=None, standardize=None, split=None, pad_to_max_tokens=False)
424 max_tokens=None,
450 max_tokens=10,
469 max_tokens=None,
487 max_tokens=None,
507 max_tokens=None,
525 max_tokens=None,
544 max_tokens=None,
568 max_tokens=None,
592 max_tokens=None,
[all …]
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| D | index_lookup_test.py | 390 max_tokens=None,
416 max_tokens=None,
437 max_tokens=None,
456 max_tokens=None,
475 max_tokens=None,
505 max_tokens=None,
531 max_tokens=None,
552 max_tokens=None,
571 max_tokens=None,
596 max_tokens=None,
[all …]
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| D | index_lookup.py | 109 max_tokens, argument
122 if max_tokens is not None and max_tokens <= 1:
124 "You passed %s" % (max_tokens,))
142 self.max_tokens = max_tokens
162 if max_tokens is not None:
164 vocab_size = max_tokens - (num_oov_indices + num_mask_tokens)
203 self.max_tokens = (
226 if not self.pad_to_max_tokens or max_tokens is None:
233 idf_shape = (max_tokens,) if self.pad_to_max_tokens else (None,)
249 return tensor_shape.TensorShape([input_shape[0], self.max_tokens])
[all …]
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| D | string_lookup_v1.py | 31 max_tokens=None, argument
40 max_tokens=max_tokens,
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| D | text_vectorization.py | 247 max_tokens=None, argument
312 if max_tokens is not None and max_tokens < 1:
315 self._max_tokens = max_tokens
343 max_tokens=max_tokens,
435 "max_tokens": self._index_lookup_layer.max_tokens,
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| D | string_lookup.py | 251 max_tokens=None, argument
281 max_tokens=max_tokens,
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| D | text_vectorization_v1.py | 80 max_tokens=None, argument
89 self).__init__(max_tokens, standardize, split, ngrams, output_mode,
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| D | text_vectorization_distribution_test.py | 67 max_tokens=None,
96 max_tokens=None,
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| D | index_lookup_distribution_test.py | 70 max_tokens=None,
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| D | integer_lookup.py | 287 max_tokens=max_values,
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| D | string_lookup_test.py | 320 layer = get_layer_class()(max_tokens=10)
334 layer = get_layer_class()(max_tokens=10)
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| /external/tensorflow/tensorflow/python/keras/layers/preprocessing/benchmarks/ |
| D | category_encoding_benchmark.py | 40 max_tokens): argument
43 max_tokens=max_tokens, output_mode=output_mode)
53 maxval=max_tokens - 1,
69 batch_size, sequence_length, max_tokens)
80 max_tokens=num_tokens)
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| D | index_lookup_adapt_benchmark.py | 73 max_tokens=k,
97 max_tokens=k,
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| D | index_lookup_forward_benchmark.py | 79 max_tokens=None,
111 max_tokens=None,
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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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| D | basic_source_line_resolver.cc | 75 int max_tokens, in TokenizeWithOptionalField() argument
79 if (!Tokenize(line, separators, max_tokens - 1, tokens)) { in TokenizeWithOptionalField()
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| /external/libtextclassifier/native/utils/tflite/ |
| D | string_projection.cc | 105 size_t len, size_t max_tokens) { in SplitByCharInternal() argument
111 if (max_tokens != kInvalid && tokens->size() == max_tokens) { in SplitByCharInternal()
119 size_t max_tokens) { in SplitByChar() argument
121 SplitByCharInternal(&tokens, input_ptr, len, max_tokens); in SplitByChar()
162 size_t len, size_t max_input, size_t max_tokens) { in SplitBySpaceInternal() argument
172 (max_tokens == kAllTokens || tokens->size() < max_tokens - 1)) { in SplitBySpaceInternal()
188 size_t max_input, size_t max_tokens) { in SplitBySpace() argument
190 SplitBySpaceInternal(&tokens, input_ptr, len, max_input, max_tokens); in SplitBySpace()
279 size_t max_tokens) const { in Tokenize()
280 return Tokenize(input.c_str(), input.size(), max_input, max_tokens); in Tokenize()
[all …]
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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/tflite-support/tensorflow_lite_support/custom_ops/kernel/ |
| D | whitespace_tokenizer.cc | 100 size_t max_tokens = 0; in WritePaddedOutput() local
102 max_tokens = std::max(max_tokens, tokens.size()); in WritePaddedOutput()
105 output_shape->data[NumDimensions(input)] = max_tokens; in WritePaddedOutput()
111 for (int i = tokens.size(); i < max_tokens; ++i) { in WritePaddedOutput()
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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 | 613 const int max_tokens = tree->num_symbols; in StoreFullHuffmanCode() local
621 num_tokens = VP8LCreateCompressedHuffmanTree(tree, tokens, max_tokens); in StoreFullHuffmanCode()
799 int max_tokens = 0; in EncodeImageNoHuffman() local
848 if (max_tokens < codes->num_symbols) { in EncodeImageNoHuffman()
849 max_tokens = codes->num_symbols; in EncodeImageNoHuffman()
853 tokens = (HuffmanTreeToken*)WebPSafeMalloc(max_tokens, sizeof(*tokens)); in EncodeImageNoHuffman()
1022 int max_tokens = 0; in EncodeImageInternal() local
1026 if (max_tokens < codes->num_symbols) { in EncodeImageInternal()
1027 max_tokens = codes->num_symbols; in EncodeImageInternal()
1030 tokens = (HuffmanTreeToken*)WebPSafeMalloc(max_tokens, sizeof(*tokens)); in EncodeImageInternal()
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| /external/libtextclassifier/native/actions/ |
| D | actions-suggestions.cc | 600 const int max_tokens, in AllocateInput() argument
630 {conversation_length, max_tokens, token_embedding_size_}); in AllocateInput()
652 int max_tokens = 0; in SetupModelInput() local
665 if (!EmbedTokensPerMessage(tokens, &token_embeddings, &max_tokens)) { in SetupModelInput()
679 if (!AllocateInput(context.size(), max_tokens, total_token_count, in SetupModelInput()
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| /external/freetype/src/psaux/ |
| D | psobjs.h | 90 FT_UInt max_tokens,
|