/external/llvm/test/tools/llvm-readobj/ |
D | elf-gnuhash.test | 24 I386-NEXT: Num Mask Words: 1 35 X86_64-NEXT: Num Mask Words: 1 46 PPC-NEXT: Num Mask Words: 1 57 PPC64-NEXT: Num Mask Words: 1
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/external/tensorflow/tensorflow/examples/learn/ |
D | README.md | 31 * [Text Classification Using Recurrent Neural Networks on Words](https://www.tensorflow.org/code/te… 32 * [Text Classification Using Convolutional Neural Networks on Words](https://www.tensorflow.org/cod…
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/external/spirv-llvm/lib/SPIRV/libSPIRV/ |
D | SPIRVValue.h | 170 getEncoder(O) << Union.Words[i]; in encode() 179 getDecoder(I) >> Union.Words[i]; in decode() 187 SPIRVWord Words[2]; member
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/external/v8/src/compiler/ |
D | wasm-linkage.cc | 196 stack_offset += Words(type); in Next() 205 stack_offset += Words(type); in Next() 213 int Words(ValueType type) { in Words() function
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/external/valgrind/VEX/pub/ |
D | libvex_guest_x86.h | 263 } Words; member
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/external/tensorflow/tensorflow/core/api_def/base_api/ |
D | api_def_Skipgram.pbtxt | 73 Threshold for word occurrence. Words that appear with higher
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/external/llvm/lib/Target/Hexagon/ |
D | HexagonIntrinsicsV4.td | 225 // Combine Words Into Doublewords. 273 // XTYPE / ALU / Logical-logical Words.
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/external/valgrind/coregrind/m_syswrap/ |
D | syswrap-x86-linux.c | 293 out->LdtEnt.Words.word1 = entry_1; in translate_to_hw_format() 294 out->LdtEnt.Words.word2 = entry_2; in translate_to_hw_format() 546 if (gdt[idx].LdtEnt.Words.word1 == 0 in ML_() 547 && gdt[idx].LdtEnt.Words.word2 == 0) in ML_()
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/external/icu/icu4c/source/data/lang/ |
D | en.txt | 26 lw{"Line Breaks In Words Setting"} 1043 breakall{"Allow Line Breaks In All Words"} 1044 keepall{"Prevent Line Breaks In All Words"} 1045 normal{"Normal Line Breaks For Words"}
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D | ar_XB.txt | 26 lw{"Line Breaks In Words Setting"} 1061 breakall{"Allow Line Breaks In All Words"} 1062 keepall{"Prevent Line Breaks In All Words"} 1063 normal{"Normal Line Breaks For Words"}
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/external/lisa/ipynb/examples/android/benchmarks/ |
D | Android_Geekbench.ipynb | 608 " <td>10.8 Words/sec</td>\n", 690 "Speech Recognition 1263 1.126760 10.8 Words/sec\n", 815 " <td>32.1 Words/sec</td>\n", 897 "Speech Recognition 3755 1.520384 32.1 Words/sec\n",
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/external/swiftshader/third_party/LLVM/lib/Target/X86/ |
D | X86ISelLowering.cpp | 14422 SmallVector<StringRef, 4> Words; in ExpandInlineAsm() local 14423 SplitString(AsmPieces[0], Words, " \t,"); in ExpandInlineAsm() 14424 if (Words.size() == 3 && Words[0] == "rorw" && Words[1] == "$$8" && in ExpandInlineAsm() 14425 Words[2] == "${0:w}") { in ExpandInlineAsm() 14426 Words.clear(); in ExpandInlineAsm() 14427 SplitString(AsmPieces[1], Words, " \t,"); in ExpandInlineAsm() 14428 if (Words.size() == 3 && Words[0] == "rorl" && Words[1] == "$$16" && in ExpandInlineAsm() 14429 Words[2] == "$0") { in ExpandInlineAsm() 14430 Words.clear(); in ExpandInlineAsm() 14431 SplitString(AsmPieces[2], Words, " \t,"); in ExpandInlineAsm() [all …]
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/external/python/cpython2/Doc/library/ |
D | re.rst | 572 >>> re.split('\W+', 'Words, words, words.') 573 ['Words', 'words', 'words', ''] 574 >>> re.split('(\W+)', 'Words, words, words.') 575 ['Words', ', ', 'words', ', ', 'words', '.', ''] 576 >>> re.split('\W+', 'Words, words, words.', 1) 577 ['Words', 'words, words.']
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/external/python/cpython3/Doc/howto/ |
D | regex.rst | 1089 >>> re.split('[\W]+', 'Words, words, words.') 1090 ['Words', 'words', 'words', ''] 1091 >>> re.split('([\W]+)', 'Words, words, words.') 1092 ['Words', ', ', 'words', ', ', 'words', '.', ''] 1093 >>> re.split('[\W]+', 'Words, words, words.', 1) 1094 ['Words', 'words, words.']
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/external/python/cpython2/Doc/howto/ |
D | regex.rst | 1102 >>> re.split('[\W]+', 'Words, words, words.') 1103 ['Words', 'words', 'words', ''] 1104 >>> re.split('([\W]+)', 'Words, words, words.') 1105 ['Words', ', ', 'words', ', ', 'words', '.', ''] 1106 >>> re.split('[\W]+', 'Words, words, words.', 1) 1107 ['Words', 'words, words.']
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/external/python/cpython3/Doc/library/ |
D | re.rst | 644 >>> re.split('\W+', 'Words, words, words.') 645 ['Words', 'words', 'words', ''] 646 >>> re.split('(\W+)', 'Words, words, words.') 647 ['Words', ', ', 'words', ', ', 'words', '.', ''] 648 >>> re.split('\W+', 'Words, words, words.', 1) 649 ['Words', 'words, words.']
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/external/swiftshader/third_party/LLVM/lib/Bitcode/Reader/ |
D | BitcodeReader.cpp | 1253 SmallVector<uint64_t, 8> Words; in ParseConstants() local 1254 Words.resize(NumWords); in ParseConstants() 1256 Words[i] = DecodeSignRotatedValue(Record[i]); in ParseConstants() 1259 Words)); in ParseConstants()
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/external/tensorflow/tensorflow/docs_src/tutorials/ |
D | word2vec.md | 1 # Vector Representations of Words 81 Bag-of-Words model (CBOW) and the Skip-Gram model (Section 3.1 and 3.2 in [Mikolov et al.](https://…
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D | wide_and_deep.md | 139 the TensorFlow tutorial on @{$word2vec$Vector Representations of Words} or
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/external/clang/lib/AST/ |
D | Expr.cpp | 698 const uint64_t* Words = Val.getRawData(); in setIntValue() local 701 std::copy(Words, Words + NumWords, pVal); in setIntValue() 703 VAL = Words[0]; in setIntValue()
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/external/tensorflow/tensorflow/docs_src/programmers_guide/ |
D | embedding.md | 78 These methods are described in the @{$word2vec$Vector Representations of Words}
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/external/llvm/lib/Support/ |
D | APInt.cpp | 756 static void lshrNear(uint64_t *Dst, uint64_t *Src, unsigned Words, in lshrNear() argument 759 for (int I = Words - 1; I >= 0; --I) { in lshrNear()
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/external/swiftshader/third_party/llvm-subzero/lib/Support/ |
D | APInt.cpp | 734 static void lshrNear(uint64_t *Dst, uint64_t *Src, unsigned Words, in lshrNear() argument 737 for (int I = Words - 1; I >= 0; --I) { in lshrNear()
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/external/swiftshader/third_party/LLVM/lib/VMCore/ |
D | Core.cpp | 570 const uint64_t Words[]) { in LLVMConstIntOfArbitraryPrecision() argument 574 makeArrayRef(Words, NumWords)))); in LLVMConstIntOfArbitraryPrecision()
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/external/swiftshader/third_party/LLVM/include/llvm-c/ |
D | Core.h | 575 const uint64_t Words[]);
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