| /system/update_engine/payload_generator/ |
| cycle_breaker_unittest.cc | 50 const Vertex::Index n_a = counter++; local
63 graph[n_a].out_edges.insert(make_pair(n_e, EdgeProperties()));
64 graph[n_a].out_edges.insert(make_pair(n_f, EdgeProperties()));
65 graph[n_b].out_edges.insert(make_pair(n_a, EdgeProperties()));
86 EXPECT_TRUE(utils::SetContainsKey(broken_edges, make_pair(n_a, n_e)) ||
88 utils::SetContainsKey(broken_edges, make_pair(n_b, n_a)));
180 const Vertex::Index n_a = counter++; local
195 graph[n_a].out_edges.insert(EdgeWithWeight(n_b, 4));
196 graph[n_a].out_edges.insert(EdgeWithWeight(n_f, 3));
197 graph[n_a].out_edges.insert(EdgeWithWeight(n_h, 2))
229 const Vertex::Index n_a = counter++; local
257 const Vertex::Index n_a = counter++; local
[all...] |
| tarjan_unittest.cc | 37 const Vertex::Index n_a = 0; local
49 graph[n_a].out_edges.insert(make_pair(n_e, EdgeProperties()));
50 graph[n_a].out_edges.insert(make_pair(n_f, EdgeProperties()));
51 graph[n_b].out_edges.insert(make_pair(n_a, EdgeProperties()));
64 for (Vertex::Index i = n_a; i <= n_e; i++) {
69 EXPECT_TRUE(utils::VectorContainsValue(vertex_indexes, n_a));
|
| topological_sort_unittest.cc | 54 const Vertex::Index n_a = counter++; local
73 graph[n_b].out_edges.insert(make_pair(n_a, EdgeProperties()));
78 graph[n_d].out_edges.insert(make_pair(n_a, EdgeProperties()));
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| normal.py | 261 def _kl_normal_normal(n_a, n_b, name=None):
262 """Calculate the batched KL divergence KL(n_a || n_b) with n_a and n_b Normal.
265 n_a: instance of a Normal distribution object.
271 Batchwise KL(n_a || n_b)
273 with ops.name_scope(name, "kl_normal_normal", [n_a.loc, n_b.loc]):
274 one = constant_op.constant(1, dtype=n_a.dtype)
275 two = constant_op.constant(2, dtype=n_a.dtype)
276 half = constant_op.constant(0.5, dtype=n_a.dtype)
277 s_a_squared = math_ops.square(n_a.scale
[all...] |
| /tools/test/connectivity/acts/tests/google/bt/pts/instructions/ |
| SM_PTS_INSTRUCTIONS | 193 n_a
196 n_a
|
| /external/tensorflow/tensorflow/python/framework/ |
| test_ops.cc | 641 .Output("a: n_a * int32")
642 .Attr("n_a: int >= 0")
646 .Output("a: n_a * int32")
648 .Attr("n_a: int >= 0")
652 .Output("a: n_a * int32")
655 .Attr("n_a: int >= 0")
|
| op_def_library_test.py | [all...] |
| /art/test/800-smali/src/ |
| Main.java | 74 testCases.add(new TestCase("b/18800943 (1)", "B18800943_1", "n_a", null, new VerifyError(),
76 testCases.add(new TestCase("b/18800943 (2)", "B18800943_2", "n_a", null, new VerifyError(),
|
| /external/tensorflow/tensorflow/compiler/jit/ |
| mark_for_compilation_pass_test.cc | 191 "CompilableFn", {"n_a:float", "n_b:float"}, {"n_c:float"}, {},
192 {{{"n_c"}, "Add", {"n_a", "n_b"}, {{"T", DT_FLOAT}}}});
194 FunctionDefHelper::Define("UncompilableFn", {"n_a:float"}, {"n_c:float"},
195 {}, {{{"n_c"}, "UncompilableUnary", {"n_a"}}});
|
| /external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
| normal_test.py | 482 n_a = normal_lib.Normal(loc=mu_a, scale=sigma_a)
485 kl = kullback_leibler.kl_divergence(n_a, n_b)
|
| /external/tensorflow/tensorflow/contrib/metrics/python/ops/ |
| metric_ops.py | [all...] |
| /external/ImageMagick/PerlMagick/t/reference/write/read/ |
| input_mat.miff | [all...] |
| /external/flatbuffers/tests/ |
| test.cpp | [all...] |
| /hardware/interfaces/media/res/ |
| bbb_opus_stereo_128kbps_48000hz.opus | [all...] |
