| /external/dhcpcd-6.8.2/ |
| dhcpcd-definitions.conf | 98 define 78 embed slp_agent
99 embed byte mandatory
100 embed array ipaddress address
101 define 79 embed slp_service
102 embed byte mandatory
103 embed ascii scope_list
109 define 81 embed fqdn
110 embed byte flags
111 embed byte rcode1
112 embed byte rcode
[all...] |
| /prebuilts/go/darwin-x86/test/fixedbugs/ |
| bug181.go | 10 T; // ERROR "embed.*pointer"
|
| issue14729.go | 7 // Issue 14729: structs cannot embed unsafe.Pointer per the spec.
|
| /prebuilts/go/linux-x86/test/fixedbugs/ |
| bug181.go | 10 T; // ERROR "embed.*pointer"
|
| issue14729.go | 7 // Issue 14729: structs cannot embed unsafe.Pointer per the spec.
|
| /external/wayland/src/ |
| dtddata.S | 47 binfile DTD_DATA src/wayland.dtd.embed
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/spinn/ |
| data.py | 166 matrix, i.e, `embed` below.
167 2. embed: The embedding matrix as a float32 numpy array. Its shape is
183 embed = []
185 embed.append([0] * WORD_VECTOR_LEN) # <unk>
186 embed.append([0] * WORD_VECTOR_LEN) # <pad>
195 word2index[word] = len(embed)
198 embed.append(vector)
199 embed = np.array(embed, dtype=np.float32)
200 return word2index, embed
[all...] |
| data_test.py | 149 word2index, embed = data.load_word_vectors(self._temp_data_dir, vocab)
158 self.assertEqual((6, data.WORD_VECTOR_LEN), embed.shape)
159 self.assertAllClose([0.0] * data.WORD_VECTOR_LEN, embed[0, :])
160 self.assertAllClose([0.0] * data.WORD_VECTOR_LEN, embed[1, :])
161 self.assertAllClose([0.0] * data.WORD_VECTOR_LEN, embed[2, :])
162 self.assertAllClose([0.2] * data.WORD_VECTOR_LEN, embed[3, :])
163 self.assertAllClose([0.3] * data.WORD_VECTOR_LEN, embed[4, :])
164 self.assertAllClose([0.4] * data.WORD_VECTOR_LEN, embed[5, :])
|
| spinn_test.py | 277 embed = tf.random_normal((vocab_size, d_embed))
279 model = spinn.SNLIClassifier(config, embed)
364 word2index, embed = data.load_word_vectors(self._temp_data_dir, vocab)
371 embed, word2index, None, None, None, config)
380 word2index, embed = data.load_word_vectors(self._temp_data_dir, vocab)
387 spinn.train_or_infer_spinn(embed, word2index, None, None, None, config)
397 word2index, embed = data.load_word_vectors(self._temp_data_dir, vocab)
410 embed, word2index, train_data, dev_data, test_data, config)
446 embed = tf.random_normal((vocab_size, d_embed))
449 model = spinn.SNLIClassifier(config, embed)
[all...] |
| /toolchain/binutils/binutils-2.27/ld/testsuite/ld-spu/ |
| spu.exp | 52 set cmd "sh $srcdir/../../binutils/embedspu.sh -m32 ear tmpdir/ear tmpdir/embed.o"
67 set cmd "$READELF $READELFFLAGS -r --wide tmpdir/embed.o > tmpdir/embed.out"
74 fail "ear embed readelf"
78 if { [regexp_diff "tmpdir/embed.out" $srcdir/$subdir/embed.rd] } then {
79 fail "ear embed output"
83 pass "ear embed"
|
| /build/make/core/ |
| install_jni_libs_internal.mk | 4 # my_embed_jni: indicate if we want to embed the jni libs in the apk.
11 # my_jni_shared_libraries, my_jni_shared_libraries_abi, if we are going to embed the libraries into the apk;
77 # Clear jni_shared_libraries to not embed it into the apk.
93 # Embed my_prebuilt_jni_libs to the apk
|
| install_jni_libs.mk | 10 # jni_shared_libraries, jni_shared_libraries_abi, jni_shared_libraries_with_abis if we are going to embed the libraries into the apk;
|
| /prebuilts/go/darwin-x86/src/runtime/ |
| lfstack.go | 18 // This stack is intrusive. Nodes must embed lfnode as the first field.
|
| /prebuilts/go/linux-x86/src/runtime/ |
| lfstack.go | 18 // This stack is intrusive. Nodes must embed lfnode as the first field.
|
| /external/freetype/src/psaux/ |
| psobjs.c | 339 FT_Int embed = 0; local
390 embed++;
393 embed--;
394 if ( embed == 0 )
454 FT_Int embed = 0; local
465 embed++;
469 embed--;
470 if ( embed == 0 )
492 if ( embed != 0 )
623 FT_Int embed; local
[all...] |
| /external/owasp/sanitizer/empiricism/ |
| canned-data.js | 46 "embed": true,
172 "embed",
287 "embed",
402 "embed",
517 "embed",
632 "embed",
748 "embed",
863 "embed",
978 "embed",
1093 "embed",
[all...] |
| /external/python/cpython3/Tools/msi/ |
| make_zip.py | 189 parser.add_argument('-e', '--embed', help='Create an embedding layout', action='store_true', default=False)
217 layout = EMBED_LAYOUT if ns.embed else FULL_LAYOUT
232 if ns.embed:
|
| /prebuilts/go/darwin-x86/src/go/types/ |
| typexpr.go | 521 // embed itself (directly or indirectly), each embedded interface
537 embed, _ := under.(*Interface)
538 if embed == nil {
546 if embed.allMethods == nil {
549 for _, m := range embed.allMethods {
559 // and embed the methods of this interface in a parameter of interface
|
| /prebuilts/go/linux-x86/src/go/types/ |
| typexpr.go | 521 // embed itself (directly or indirectly), each embedded interface
537 embed, _ := under.(*Interface)
538 if embed == nil {
546 if embed.allMethods == nil {
549 for _, m := range embed.allMethods {
559 // and embed the methods of this interface in a parameter of interface
|
| /external/curl/docs/cmdline-opts/ |
| quote.d | 25 shell-style to embed spaces or special characters. Following is the list of
|
| /external/tensorflow/tensorflow/examples/tutorials/word2vec/ |
| word2vec_basic.py | 193 embed = tf.nn.embedding_lookup(embeddings, train_inputs) variable
215 inputs=embed,
|
| /prebuilts/go/darwin-x86/src/debug/pe/ |
| section.go | 88 // Embed ReaderAt for ReadAt method.
89 // Do not embed SectionReader directly
|
| /prebuilts/go/darwin-x86/src/encoding/json/ |
| indent.go | 73 // any indentation, to make it easier to embed inside other formatted JSON data.
|
| /prebuilts/go/linux-x86/src/debug/pe/ |
| section.go | 88 // Embed ReaderAt for ReadAt method.
89 // Do not embed SectionReader directly
|
| /prebuilts/go/linux-x86/src/encoding/json/ |
| indent.go | 73 // any indentation, to make it easier to embed inside other formatted JSON data.
|
