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/external/python/setuptools/setuptools/tests/
Dtest_manifest.py244 ml = make_local_path
250 files = default_files | set([ml('app/c.rst')])
255 ml = make_local_path
258 ml('app/a.txt'), ml('app/b.txt'),
259 ml('app/static/app.js'), ml('app/static/app.js.map'),
260 ml('app/static/app.css'), ml('app/static/app.css.map')])
265 ml = make_local_path
268 ml('app/static/app.js'), ml('app/static/app.js.map'),
269 ml('app/static/app.css'), ml('app/static/app.css.map')])
274 ml = make_local_path
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/external/capstone/bindings/ocaml/
DMakefile22 test_basic.cmx: test_basic.ml
25 test_detail.cmx: test_detail.ml
28 test_x86.cmx: test_x86.ml
31 test_arm.cmx: test_arm.ml
34 test_arm64.cmx: test_arm64.ml
37 test_mips.cmx: test_mips.ml
40 test_ppc.cmx: test_ppc.ml
43 test_sparc.cmx: test_sparc.ml
46 test_systemz.cmx: test_systemz.ml
49 test_xcore.cmx: test_xcore.ml
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/external/selinux/python/sepolgen/tests/
Dtest_matching.py48 ml = matching.MatchList()
49 ml.threshold = 100
53 ml.append(a)
54 self.assertEqual(len(ml), 1)
58 ml.append(a)
59 self.assertEqual(len(ml), 2)
60 self.assertEqual(len(ml.bastards), 1)
62 ml.allow_info_dir_change = False
66 ml.append(a)
67 self.assertEqual(len(ml), 3)
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/external/tensorflow/tensorflow/lite/g3doc/performance/
Dcoreml_delegate.md1 # Tensorflow Lite Core ML delegate
3 The TensorFlow Lite Core ML delegate enables running TensorFlow Lite models on
4 [Core ML framework](https://developer.apple.com/documentation/coreml), which
10 Note: Core ML delegate supports Core ML version 2 and later.
14 * iOS 12 and later. In the older iOS versions, Core ML delegate will
16 * By default, Core ML delegate will only be enabled on devices with A12 SoC
18 If you want to use Core ML delegate also on the older devices, please see
23 The Core ML delegate currently supports float (FP32 and FP16) models.
25 ## Trying the Core ML delegate on your own model
27 The Core ML delegate is already included in nightly release of TensorFlow lite
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/external/compiler-rt/lib/tsan/tests/rtl/
Dtsan_test_util.h75 void Read(const MemLoc &ml, int size, bool expect_race = false) {
76 Access(ml.loc(), false, size, expect_race);
78 void Write(const MemLoc &ml, int size, bool expect_race = false) {
79 Access(ml.loc(), true, size, expect_race);
81 void Read1(const MemLoc &ml, bool expect_race = false) {
82 Read(ml, 1, expect_race); }
83 void Read2(const MemLoc &ml, bool expect_race = false) {
84 Read(ml, 2, expect_race); }
85 void Read4(const MemLoc &ml, bool expect_race = false) {
86 Read(ml, 4, expect_race); }
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/external/tensorflow/tensorflow/lite/objc/apis/
DTFLCoreMLDelegate.h23 * This enum specifies for which devices the Core ML delegate will be enabled.
32 /** Custom configuration options for a Core ML delegate. */
36 * Indicates which devices the Core ML delegate should be enabled for. The default value is
43 * Target Core ML version for the model conversion. When it's not set, Core ML version will be set
49 * The maximum number of Core ML delegate partitions created. Each graph corresponds to one
56 * The minimum number of nodes per partition to be delegated by the Core ML delegate. The default
63 /** A delegate that uses the Core ML framework for performing TensorFlow Lite graph operations. */
67 * Initializes a new Core ML delegate with default options.
69 * @return A Core ML delegate initialized with default options. `nil` when the delegate creation
70 * fails. For example, trying to initialize a Core ML delegate on an unsupported device.
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/external/toybox/toys/lsb/
Dumount.c109 struct mtab_list *mlsave = 0, *mlrev = 0, *ml; in umount_main() local
128 for (ml = mlrev; ml; ml = ml->prev) in umount_main()
129 if (mountlist_istype(ml, typestr)) do_umount(ml->dir, ml->device, flags); in umount_main()
138 for (ml = abs ? mlrev : 0; ml; ml = ml->prev) { in umount_main()
139 if (!strcmp(ml->dir, abs)) break; in umount_main()
140 if (!strcmp(ml->device, abs)) { in umount_main()
142 abs = ml->dir; in umount_main()
147 do_umount(abs ? abs : *optargs, ml ? ml->device : 0, flags); in umount_main()
148 if (ml && abs != ml->dir) free(abs); in umount_main()
/external/tensorflow/tensorflow/lite/delegates/coreml/
DREADME.md1 # Tensorflow Lite Core ML Delegate
3 TensorFlow Lite Core ML Delegate enables running TensorFlow Lite models on
4 [Core ML framework](https://developer.apple.com/documentation/coreml),
11 * iOS 12 and later. In the older iOS versions, Core ML delegate will
16 ## Update code to use Core ML delegate
20 Initialize TensorFlow Lite interpreter with Core ML delegate.
44 // Add following section to use Core ML delegate.
63 Following ops are supported by the Core ML delegate.
66 * Only certain shapes are broadcastable. In Core ML tensor layout,
86 * Only certain shapes are broadcastable. In Core ML tensor layout,
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/external/swiftshader/third_party/llvm-16.0/llvm/lib/Target/WebAssembly/
DWebAssemblySortRegion.cpp18 const auto *ML = MLI.getLoopFor(MBB); in getRegionFor() local
20 if (!ML && !WE) in getRegionFor()
28 // WE->contains(ML->getHeader()), but not ML->contains(WE->getHeader()). in getRegionFor()
29 if ((ML && !WE) || (ML && WE && WE->contains(ML->getHeader()))) { in getRegionFor()
31 if (LoopMap.count(ML)) in getRegionFor()
32 return LoopMap[ML].get(); in getRegionFor()
33 LoopMap[ML] = std::make_unique<ConcreteSortRegion<MachineLoop>>(ML); in getRegionFor()
34 return LoopMap[ML].get(); in getRegionFor()
52 MachineBasicBlock *SortRegionInfo::getBottom(const MachineLoop *ML) { in getBottom() argument
53 MachineBasicBlock *Bottom = ML->getHeader(); in getBottom()
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/external/tensorflow/tensorflow/compiler/xla/mlir_hlo/stablehlo/
DREADME.md3 StableHLO is an operation set that expresses ML computations. It has been
9 StableHLO is a portability layer between ML frameworks and ML compilers.
10 We are aiming for adoption by a wide variety of ML frameworks including
11 TensorFlow, JAX and PyTorch, as well as ML compilers including XLA and IREE.
22 portability layer between ML frameworks and ML compilers. Let's work together
32 * Workstream #3: Support for ML frameworks (TensorFlow, JAX, PyTorch) and
33 ML compilers (XLA and IREE) - ETA: H2 2022.
/external/hyphenation-patterns/TeX/ml/
DAndroid.bp34 name: "hyph-ml-hyb",
36 "hyph-ml.pat.txt",
37 "hyph-ml.chr.txt",
38 "hyph-ml.hyp.txt",
40 cmd: "$(location mk_hyb_file) $(location hyph-ml.pat.txt) $(out)",
42 out: ["hyph-ml.hyb"],
46 name: "hyph-ml",
48 ":hyph-ml-hyb",
49 "hyph-ml.lic.txt",
/external/swiftshader/third_party/llvm-16.0/llvm/lib/Target/PowerPC/
DPPCCTRLoops.cpp77 bool processLoop(MachineLoop *ML);
79 void expandNormalLoops(MachineLoop *ML, MachineInstr *Start,
81 void expandCTRLoops(MachineLoop *ML, MachineInstr *Start, MachineInstr *Dec);
102 for (auto *ML : MLI) { in runOnMachineFunction() local
103 if (ML->isOutermost()) in runOnMachineFunction()
104 Changed |= processLoop(ML); in runOnMachineFunction()
143 bool PPCCTRLoops::processLoop(MachineLoop *ML) { in processLoop() argument
147 for (MachineLoop *I : *ML) in processLoop()
173 MachineBasicBlock *Preheader = ML->getLoopPreheader(); in processLoop()
211 for (auto *MBB : reverse(ML->getBlocks())) { in processLoop()
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/external/aws-sdk-java-v2/services/cleanroomsml/src/main/resources/codegen-resources/
Dendpoint-tests.json7 "url": "https://cleanrooms-ml-fips.us-east-1.api.aws"
20 "url": "https://cleanrooms-ml-fips.us-east-1.amazonaws.com"
33 "url": "https://cleanrooms-ml.us-east-1.api.aws"
46 "url": "https://cleanrooms-ml.us-east-1.amazonaws.com"
59 "url": "https://cleanrooms-ml-fips.cn-north-1.api.amazonwebservices.com.cn"
72 "url": "https://cleanrooms-ml-fips.cn-north-1.amazonaws.com.cn"
85 "url": "https://cleanrooms-ml.cn-north-1.api.amazonwebservices.com.cn"
98 "url": "https://cleanrooms-ml.cn-north-1.amazonaws.com.cn"
111 "url": "https://cleanrooms-ml-fips.us-gov-east-1.api.aws"
124 "url": "https://cleanrooms-ml-fips.us-gov-east-1.amazonaws.com"
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/external/python/cpython2/Objects/
Dmethodobject.c17 PyCFunction_NewEx(PyMethodDef *ml, PyObject *self, PyObject *module) in PyCFunction_NewEx() argument
31 op->m_ml = ml; in PyCFunction_NewEx()
322 PyMethodDef *ml; in listmethodchain() local
328 for (ml = c->methods; ml->ml_name != NULL; ml++) in listmethodchain()
336 for (ml = c->methods; ml->ml_name != NULL; ml++) { in listmethodchain()
337 PyList_SetItem(v, i, PyString_FromString(ml->ml_name)); in listmethodchain()
368 PyMethodDef *ml = chain->methods; in Py_FindMethodInChain() local
369 for (; ml->ml_name != NULL; ml++) { in Py_FindMethodInChain()
370 if (name[0] == ml->ml_name[0] && in Py_FindMethodInChain()
371 strcmp(name+1, ml->ml_name+1) == 0) in Py_FindMethodInChain()
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/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/
Dmigratable_resource.proto31 type: "ml.googleapis.com/Version"
52 // datalabeling.googleapis.com or ml.googleapis.com.
54 // Represents one model Version in ml.googleapis.com.
56 // The ml.googleapis.com endpoint that this model Version currently lives
60 // * ml.googleapis.com
61 // * us-centrall-ml.googleapis.com
62 // * europe-west4-ml.googleapis.com
63 // * asia-east1-ml.googleapis.com
66 // Full resource name of ml engine model Version.
69 (google.api.resource_reference) = { type: "ml.googleapis.com/Version" }
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Dmigration_service.proto37 // datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
44 // datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
55 // Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
141 // datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
143 // Config for migrating version in ml.googleapis.com to Vertex AI's Model.
145 // Required. The ml.googleapis.com endpoint that this model version should
148 // * ml.googleapis.com
150 // * us-centrall-ml.googleapis.com
152 // * europe-west4-ml.googleapis.com
154 // * asia-east1-ml.googleapis.com
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/external/googleapis/google/cloud/aiplatform/v1beta1/
Dmigratable_resource.proto31 type: "ml.googleapis.com/Version"
52 // datalabeling.googleapis.com or ml.googleapis.com.
54 // Represents one model Version in ml.googleapis.com.
56 // The ml.googleapis.com endpoint that this model Version currently lives
60 // * ml.googleapis.com
61 // * us-centrall-ml.googleapis.com
62 // * europe-west4-ml.googleapis.com
63 // * asia-east1-ml.googleapis.com
66 // Full resource name of ml engine model Version.
69 (google.api.resource_reference) = { type: "ml.googleapis.com/Version" }
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/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/
Dmigratable_resource.proto31 type: "ml.googleapis.com/Version"
52 // datalabeling.googleapis.com or ml.googleapis.com.
54 // Represents one model Version in ml.googleapis.com.
56 // The ml.googleapis.com endpoint that this model Version currently lives
60 // * ml.googleapis.com
61 // * us-centrall-ml.googleapis.com
62 // * europe-west4-ml.googleapis.com
63 // * asia-east1-ml.googleapis.com
66 // Full resource name of ml engine model Version.
69 (google.api.resource_reference) = { type: "ml.googleapis.com/Version" }
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/external/googleapis/google/cloud/aiplatform/v1/
Dmigratable_resource.proto31 type: "ml.googleapis.com/Version"
52 // datalabeling.googleapis.com or ml.googleapis.com.
54 // Represents one model Version in ml.googleapis.com.
56 // The ml.googleapis.com endpoint that this model Version currently lives
60 // * ml.googleapis.com
61 // * us-centrall-ml.googleapis.com
62 // * europe-west4-ml.googleapis.com
63 // * asia-east1-ml.googleapis.com
66 // Full resource name of ml engine model Version.
69 (google.api.resource_reference) = { type: "ml.googleapis.com/Version" }
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/external/kmod/libkmod/python/kmod/
Dmodule.pyx80 cdef _list.ModList ml = _list.ModList()
82 err = _libkmod_h.kmod_module_get_info(self.module, &ml.list)
87 for item in ml:
95 _libkmod_h.kmod_module_info_free_list(ml.list)
96 ml.list = NULL
101 cdef _list.ModList ml = _list.ModList()
103 err = _libkmod_h.kmod_module_get_versions(self.module, &ml.list)
107 for item in ml:
114 _libkmod_h.kmod_module_versions_free_list(ml.list)
115 ml.list = NULL
/external/google-cloud-java/java-automl/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/
DImageClassificationModelMetadataOrBuilder.java73 * `mobile-core-ml-low-latency-1`, `mobile-core-ml-versatile-1`,
74 * `mobile-core-ml-high-accuracy-1`, the train budget must be between 1,000
151 * * `mobile-core-ml-low-latency-1` - A model that, in addition to providing
154 * ML afterwards. Expected to have low latency, but may have
156 * * `mobile-core-ml-versatile-1` - A model that, in addition to providing
159 * ML afterwards.
160 * * `mobile-core-ml-high-accuracy-1` - A model that, in addition to
163 * Core ML afterwards. Expected to have a higher latency, but
195 * * `mobile-core-ml-low-latency-1` - A model that, in addition to providing
198 * ML afterwards. Expected to have low latency, but may have
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/external/tensorflow/tensorflow/lite/swift/Sources/
DCoreMLDelegate.swift17 /// A delegate that uses the `Core ML` framework for performing TensorFlow Lite graph operations.
28 /// Core ML delegate could not be created because `Options.enabledDevices` was set to
51 /// A type indicating which devices the Core ML delegate should be enabled for.
72 /// A type indicating which devices the Core ML delegate should be enabled for. The default
76 /// Target Core ML version for the model conversion. When it's not set, Core ML version will
79 /// The maximum number of Core ML delegate partitions created. Each graph corresponds to one
83 /// The minimum number of nodes per partition to be delegated by the Core ML delegate. The
/external/icu/icu4c/source/data/unit/
Den_AU.txt159 dnam{"ML"}
160 one{"{0}ML"}
161 other{"{0}ML"}
164 dnam{"mL"}
165 one{"{0}mL"}
166 other{"{0}mL"}
344 dnam{"ML"}
345 one{"{0} ML"}
346 other{"{0} ML"}
349 dnam{"mL"}
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/external/libffi/
Dmsvcc.sh41 # GCC-compatible wrapper for cl.exe and ml.exe. Arguments are given in GCC
42 # format and translated into something sensible for cl or ml.
51 ml="ml"
79 ml="ml64" # "$MSVC/x86_amd64/ml64"
84 ml='armasm'
89 ml='armasm64'
303 if [ $ml = "armasm" ]; then
307 if [ $ml = "armasm64" ]; then
317 if [ $ml = "armasm" ]; then
319 elif [ $ml = "armasm64" ]; then
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/external/cronet/third_party/icu/source/data/unit/
Den_AU.txt192 dnam{"ML"}
193 one{"{0}ML"}
194 other{"{0}ML"}
197 dnam{"mL"}
198 one{"{0}mL"}
199 other{"{0}mL"}
390 dnam{"ML"}
391 one{"{0} ML"}
392 other{"{0} ML"}
395 dnam{"mL"}
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