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Searched refs:probs (Results 1 – 25 of 53) sorted by relevance

123

/third_party/boost/libs/accumulators/test/
Dp_square_quantile_extended.cpp39 std::vector<double> probs; in test_stat() local
41 probs.push_back(0.001); in test_stat()
42 probs.push_back(0.01 ); in test_stat()
43 probs.push_back(0.1 ); in test_stat()
44 probs.push_back(0.25 ); in test_stat()
45 probs.push_back(0.5 ); in test_stat()
46 probs.push_back(0.75 ); in test_stat()
47 probs.push_back(0.9 ); in test_stat()
48 probs.push_back(0.99 ); in test_stat()
49 probs.push_back(0.999); in test_stat()
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Dextended_p_square_quantile.cpp42 std::vector<double> probs; in test_stat() local
44 probs.push_back(0.990); in test_stat()
45 probs.push_back(0.991); in test_stat()
46 probs.push_back(0.992); in test_stat()
47 probs.push_back(0.993); in test_stat()
48 probs.push_back(0.994); in test_stat()
49 probs.push_back(0.995); in test_stat()
50 probs.push_back(0.996); in test_stat()
51 probs.push_back(0.997); in test_stat()
52 probs.push_back(0.998); in test_stat()
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Dextended_p_square.cpp40 std::vector<double> probs; in test_stat() local
42 probs.push_back(0.001); in test_stat()
43 probs.push_back(0.01 ); in test_stat()
44 probs.push_back(0.1 ); in test_stat()
45 probs.push_back(0.25 ); in test_stat()
46 probs.push_back(0.5 ); in test_stat()
47 probs.push_back(0.75 ); in test_stat()
48 probs.push_back(0.9 ); in test_stat()
49 probs.push_back(0.99 ); in test_stat()
50 probs.push_back(0.999); in test_stat()
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/third_party/mindspore/mindspore/nn/probability/distribution/
Dcategorical.py111 probs=None, argument
116 param['param_dict'] = {'probs': probs}
121 self._probs = self._add_parameter(probs, 'probs')
122 if self.probs is not None:
123 check_rank(self.probs)
124 check_prob(self.probs)
125 check_sum_equal_one(probs)
129 if self.probs.shape[:-1] == ():
167 def probs(self): member in Categorical
176 s = 'probs = {}'.format(self.probs)
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Dgeometric.py131 probs=None, argument
139 param['param_dict'] = {'probs': probs}
144 self._probs = self._add_parameter(probs, 'probs')
146 check_prob(self.probs)
172 s = 'probs = {}'.format(self.probs)
176 def probs(self): member in Geometric
189 probs1 = self.probs
Dbernoulli.py124 probs=None, argument
132 param['param_dict'] = {'probs': probs}
138 self._probs = self._add_parameter(probs, 'probs')
140 check_prob(self.probs)
158 s = 'probs = {}'.format(self.probs)
164 def probs(self): member in Bernoulli
178 probs1 = self.probs
/third_party/mindspore/tests/st/probability/distribution/
Dtest_categorical_gpu.py29 probs = np.random.dirichlet(np.ones(shape[3]), size=1)
33 probs = np.vstack(((np.random.dirichlet(np.ones(shape[3]), size=1)), probs))
34 probs = np.array([probs, probs])
35 probs = np.array([probs, probs])
36 return probs
40 def __init__(self, probs, seed=10, dtype=ms.int32, name='Categorical'): argument
42 self.b = msd.Categorical(probs, seed, dtype, name)
44 def construct(self, value, probs=None): argument
45 out1 = self.b.prob(value, probs)
46 out2 = self.b.log_prob(value, probs)
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/third_party/gstreamer/gstplugins_bad/gst-libs/gst/codecparsers/
Dvp8utils.c442 gst_vp8_token_update_probs_init (GstVp8TokenProbs * probs) in gst_vp8_token_update_probs_init() argument
444 memcpy (probs->prob, vp8_token_update_probs, sizeof (vp8_token_update_probs)); in gst_vp8_token_update_probs_init()
448 gst_vp8_token_probs_init_defaults (GstVp8TokenProbs * probs) in gst_vp8_token_probs_init_defaults() argument
450 memcpy (probs->prob, vp8_default_token_probs, in gst_vp8_token_probs_init_defaults()
455 gst_vp8_mv_update_probs_init (GstVp8MvProbs * probs) in gst_vp8_mv_update_probs_init() argument
457 memcpy (probs->prob, vp8_mv_update_probs, sizeof (vp8_mv_update_probs)); in gst_vp8_mv_update_probs_init()
461 gst_vp8_mv_probs_init_defaults (GstVp8MvProbs * probs) in gst_vp8_mv_probs_init_defaults() argument
463 memcpy (probs->prob, vp8_default_mv_probs, sizeof (vp8_default_mv_probs)); in gst_vp8_mv_probs_init_defaults()
467 gst_vp8_mode_probs_init_defaults (GstVp8ModeProbs * probs, gboolean key_frame) in gst_vp8_mode_probs_init_defaults() argument
470 memcpy (probs->y_prob, vp8_kf_y_mode_probs, sizeof (vp8_kf_y_mode_probs)); in gst_vp8_mode_probs_init_defaults()
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Dvp8utils.h29 gst_vp8_token_update_probs_init (GstVp8TokenProbs * probs);
32 gst_vp8_token_probs_init_defaults (GstVp8TokenProbs * probs);
35 gst_vp8_mv_update_probs_init (GstVp8MvProbs * probs);
38 gst_vp8_mv_probs_init_defaults (GstVp8MvProbs * probs);
41 gst_vp8_mode_probs_init_defaults (GstVp8ModeProbs * probs, gboolean key_frame);
/third_party/boost/libs/math/test/
Dtest_hyperexponential_dist.cpp58 …const RealT probs[] = { static_cast<RealT>(0.2L), static_cast<RealT>(0.3L), static_cast<RealT>(0.5… in BOOST_AUTO_TEST_CASE_TEMPLATE() local
60 const std::size_t n = sizeof(probs) / sizeof(RealT); in BOOST_AUTO_TEST_CASE_TEMPLATE()
62 boost::math::hyperexponential_distribution<RealT> dist_it(probs, probs+n, rates, rates+n); in BOOST_AUTO_TEST_CASE_TEMPLATE()
64 …P_CHECK_CLOSE_COLLECTIONS(RealT, dist_it.probabilities(), std::vector<RealT>(probs, probs+n), tol); in BOOST_AUTO_TEST_CASE_TEMPLATE()
67 boost::math::hyperexponential_distribution<RealT> dist_r(probs, rates); in BOOST_AUTO_TEST_CASE_TEMPLATE()
69 …XP_CHECK_CLOSE_COLLECTIONS(RealT, dist_r.probabilities(), std::vector<RealT>(probs, probs+n), tol); in BOOST_AUTO_TEST_CASE_TEMPLATE()
75 …P_CHECK_CLOSE_COLLECTIONS(RealT, dist_il.probabilities(), std::vector<RealT>(probs, probs+n), tol); in BOOST_AUTO_TEST_CASE_TEMPLATE()
99 …const RealT probs[] = { static_cast<RealT>(0.2L), static_cast<RealT>(0.3L), static_cast<RealT>(0.5… in BOOST_AUTO_TEST_CASE_TEMPLATE() local
101 const std::size_t n = sizeof(probs) / sizeof(RealT); in BOOST_AUTO_TEST_CASE_TEMPLATE()
103 boost::math::hyperexponential_distribution<RealT> dist(probs, probs+n, rates, rates+n); in BOOST_AUTO_TEST_CASE_TEMPLATE()
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/third_party/mindspore/mindspore/nn/probability/distribution/_utils/
Dutils.py164 def check_sum_equal_one(probs): argument
168 if probs is None:
170 if isinstance(probs, Parameter):
171 if not isinstance(probs.data, Tensor):
173 probs = probs.data
174 if isinstance(probs, Tensor):
175 probs = probs.asnumpy()
176 prob_sum = np.sum(probs, axis=-1)
183 def check_rank(probs): argument
187 if probs is None:
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/third_party/boost/libs/random/test/
Dtest_hyperexponential_distribution.cpp78 const std::vector<double> probs = boost::assign::list_of(0.1)(0.2)(0.3)(0.4); in BOOST_AUTO_TEST_CASE() local
82 boost::random::hyperexponential_distribution<> dist_r(probs, rates); in BOOST_AUTO_TEST_CASE()
84 BOOST_RANDOM_HYPEREXP_CHECK_CLOSE_COLLECTIONS(double, dist_r.probabilities(), probs, tol); in BOOST_AUTO_TEST_CASE()
88 …boost::random::hyperexponential_distribution<> dist_it(probs.begin(), probs.end(), rates.begin(), … in BOOST_AUTO_TEST_CASE()
90 BOOST_RANDOM_HYPEREXP_CHECK_CLOSE_COLLECTIONS(double, dist_it.probabilities(), probs, tol); in BOOST_AUTO_TEST_CASE()
125 const std::vector<double> probs = boost::assign::list_of(0.1)(0.2)(0.3)(0.4); in BOOST_AUTO_TEST_CASE() local
129 boost::random::hyperexponential_distribution<> dist(probs, rates); in BOOST_AUTO_TEST_CASE()
158 boost::random::hyperexponential_distribution<>::param_type param_r(probs, rates); in BOOST_AUTO_TEST_CASE()
159 BOOST_RANDOM_HYPEREXP_CHECK_CLOSE_COLLECTIONS(double, param_r.probabilities(), probs, tol); in BOOST_AUTO_TEST_CASE()
162 …boost::random::hyperexponential_distribution<>::param_type param_it(probs.begin(), probs.end(), ra… in BOOST_AUTO_TEST_CASE()
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Dtest_discrete_distribution.cpp56 std::vector<double> probs = boost::assign::list_of(1.0)(2.0)(1.0)(4.0); in BOOST_AUTO_TEST_CASE() local
58 boost::random::discrete_distribution<> dist_r(probs); in BOOST_AUTO_TEST_CASE()
61 boost::random::discrete_distribution<> dist_it(probs.begin(), probs.end()); in BOOST_AUTO_TEST_CASE()
82 std::vector<double> probs = boost::assign::list_of(1.0)(2.0)(1.0)(4.0); in BOOST_AUTO_TEST_CASE() local
83 boost::random::discrete_distribution<> dist(probs); in BOOST_AUTO_TEST_CASE()
107 boost::random::discrete_distribution<>::param_type parm_r(probs); in BOOST_AUTO_TEST_CASE()
111 parm_it(probs.begin(), probs.end()); in BOOST_AUTO_TEST_CASE()
120 std::vector<double> probs = boost::assign::list_of(1.0)(2.0)(1.0); in BOOST_AUTO_TEST_CASE() local
124 boost::random::discrete_distribution<> dist_r(probs); in BOOST_AUTO_TEST_CASE()
130 std::vector<double> probs = boost::assign::list_of(1.0)(2.0)(1.0)(4.0); in BOOST_AUTO_TEST_CASE() local
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/third_party/mindspore/tests/ut/python/nn/probability/distribution/
Dtest_categorical.py127 def construct(self, value, probs): argument
128 prob = self.c.prob(value, probs)
129 log_prob = self.c.log_prob(value, probs)
130 cdf = self.c.cdf(value, probs)
131 log_cdf = self.c.log_cdf(value, probs)
132 sf = self.c.survival_function(value, probs)
133 log_sf = self.c.log_survival(value, probs)
143 probs = Tensor([0.3, 0.7], dtype=dtype.float32)
144 ans = net(value, probs)
212 def construct(self, value, probs): argument
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Dtest_geometric.py103 def construct(self, value, probs): argument
104 prob = self.g.prob(value, probs)
105 log_prob = self.g.log_prob(value, probs)
106 cdf = self.g.cdf(value, probs)
107 log_cdf = self.g.log_cdf(value, probs)
108 sf = self.g.survival_function(value, probs)
109 log_sf = self.g.log_survival(value, probs)
119 probs = Tensor([0.5], dtype=dtype.float32)
120 ans = net(value, probs)
215 def construct(self, value, probs): argument
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Dtest_bernoulli.py103 def construct(self, value, probs): argument
104 prob = self.b.prob(value, probs)
105 log_prob = self.b.log_prob(value, probs)
106 cdf = self.b.cdf(value, probs)
107 log_cdf = self.b.log_cdf(value, probs)
108 sf = self.b.survival_function(value, probs)
109 log_sf = self.b.log_survival(value, probs)
119 probs = Tensor([0.5], dtype=dtype.float32)
120 ans = net(value, probs)
188 def construct(self, value, probs): argument
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/third_party/gstreamer/gstplugins_bad/sys/v4l2codecs/
Dgstv4l2codecvp9dec.c174 struct v4l2_ctrl_vp9_compressed_hdr *probs = &self->v4l2_delta_probs; in gst_v4l2_codec_vp9_dec_fill_prob_updates() local
176 G_STATIC_ASSERT (sizeof (probs->tx8) == in gst_v4l2_codec_vp9_dec_fill_prob_updates()
178 G_STATIC_ASSERT (sizeof (probs->tx16) == in gst_v4l2_codec_vp9_dec_fill_prob_updates()
180 G_STATIC_ASSERT (sizeof (probs->tx32) == in gst_v4l2_codec_vp9_dec_fill_prob_updates()
182 G_STATIC_ASSERT (sizeof (probs->coef) == in gst_v4l2_codec_vp9_dec_fill_prob_updates()
184 G_STATIC_ASSERT (sizeof (probs->skip) == in gst_v4l2_codec_vp9_dec_fill_prob_updates()
186 G_STATIC_ASSERT (sizeof (probs->inter_mode) == in gst_v4l2_codec_vp9_dec_fill_prob_updates()
188 G_STATIC_ASSERT (sizeof (probs->interp_filter) == in gst_v4l2_codec_vp9_dec_fill_prob_updates()
190 G_STATIC_ASSERT (sizeof (probs->is_inter) == in gst_v4l2_codec_vp9_dec_fill_prob_updates()
192 G_STATIC_ASSERT (sizeof (probs->comp_mode) == in gst_v4l2_codec_vp9_dec_fill_prob_updates()
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/third_party/mindspore/tests/st/ops/gpu/
Dtest_ctcloss_op.py34 def construct(self, probs, label, input_length, indices): argument
35 x, _ = self.loss(probs, indices, label, input_length)
46 def construct(self, probs, indices, labels, input_lengths): argument
47 return self.grad(self.network)(probs, indices, labels, input_lengths)
54 …probs = Tensor([[[-4.4131, -4.6093, -3.4333, -3.9268, -2.8917, -3.4093, -4.2243, -1.1379, -7.1046,…
81 ctc_loss = net(probs, labels, input_lengths, indices)
85 grad = GradData(net)(probs, labels, input_lengths, indices)
/third_party/mindspore/tests/st/ops/cpu/
Dtest_ctcloss_op.py34 def construct(self, probs, label, input_length, indices): argument
35 x, _ = self.loss(probs, indices, label, input_length)
46 def construct(self, probs, indices, labels, input_lengths): argument
47 return self.grad(self.network)(probs, indices, labels, input_lengths)
54 …probs = Tensor([[[-4.4131, -4.6093, -3.4333, -3.9268, -2.8917, -3.4093, -4.2243, -1.1379, -7.1046,…
81 ctc_loss = net(probs, labels, input_lengths, indices)
85 grad = GradData(net)(probs, labels, input_lengths, indices)
/third_party/vk-gl-cts/modules/gles2/stress/
Des2sLongRunningTests.cpp79 const Probs probs; in init() member
80 …obs& probs_ = Probs()) : name(name_), desc(desc_), redundantBufferFactor(bufFact), probs(probs_) {} in init()
123 contexts, cases[caseNdx].probs, in init()
151 const Probs probs; in init() member
152 …st Probs& probs_ = Probs()) : name(name_), desc(desc_), numTextures(numTextures_), probs(probs_) {} in init()
191 contexts, cases[caseNdx].probs, in init()
208 const Probs probs; in init() member
210 …: name(name_), desc(desc_), drawCallsPerIteration(calls), numTrisPerDrawCall(tris), probs(probs_) … in init()
241 contexts, cases[caseNdx].probs, in init()
257 const Probs probs; in init() member
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/third_party/vk-gl-cts/modules/gles3/stress/
Des3sLongRunningTests.cpp79 const Probs probs; in init() member
80 …obs& probs_ = Probs()) : name(name_), desc(desc_), redundantBufferFactor(bufFact), probs(probs_) {} in init()
123 contexts, cases[caseNdx].probs, in init()
151 const Probs probs; in init() member
152 …st Probs& probs_ = Probs()) : name(name_), desc(desc_), numTextures(numTextures_), probs(probs_) {} in init()
191 contexts, cases[caseNdx].probs, in init()
208 const Probs probs; in init() member
210 …: name(name_), desc(desc_), drawCallsPerIteration(calls), numTrisPerDrawCall(tris), probs(probs_) … in init()
241 contexts, cases[caseNdx].probs, in init()
257 const Probs probs; in init() member
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/third_party/boost/boost/math/distributions/
Dhyperexponential.hpp201 const std::vector<RealT> probs = dist.probabilities(); in quantile_impl() local
213 guess += probs[i]*quantile(complement(exp, p)); in quantile_impl()
222 guess += probs[i]*quantile(exp, p); in quantile_impl()
233 … q = detail::generic_quantile(hyperexponential_distribution<RealT,forwarding_policy>(probs, rates), in quantile_impl()
427 const std::vector<RealT> probs = dist.probabilities(); in pdf() local
434 result += probs[i]*pdf(exp, x); in pdf()
452 const std::vector<RealT> probs = dist.probabilities(); in cdf() local
459 result += probs[i]*cdf(exp, x); in cdf()
485 const std::vector<RealT> probs = dist.probabilities(); in cdf() local
492 result += probs[i]*cdf(complement(exp, x)); in cdf()
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/third_party/mindspore/tests/st/ops/ascend/
Dtest_sparseSoftmaxCrossEntropyWithLogits.py47 probs = e / np.reshape(np.sum(e, axis=class_dim), [batch_size, 1])
48 labels_mat = np.zeros_like(probs).astype(probs.dtype)
50 bp = (probs - labels_mat)
51 loss = -np.sum(labels_mat * np.log(probs + 1.0e-20), axis=1)
/third_party/ffmpeg/libavcodec/
Dmss1.c95 static int arith_get_prob(ArithCoder *c, int16_t *probs) in arith_get_prob() argument
98 int val = ((c->value - c->low + 1) * probs[0] - 1) / range; in arith_get_prob()
101 while (probs[sym] > val) in arith_get_prob()
104 c->high = range * probs[sym - 1] / probs[0] + c->low - 1; in arith_get_prob()
105 c->low += range * probs[sym] / probs[0]; in arith_get_prob()
/third_party/gstreamer/gstplugins_bad/tests/examples/codecparsers/
Dparse-vp8.c219 print_mv_probs (GstVp8MvProbs * probs) in print_mv_probs() argument
225 g_print (" %-32s : %d", j == 0 ? "row" : "column", probs->prob[j][0]); in print_mv_probs()
227 g_print (", %d", probs->prob[j][i]); in print_mv_probs()
234 print_mode_probs (GstVp8ModeProbs * probs) in print_mode_probs() argument
239 g_print (" %-32s : %d", "luma", probs->y_prob[0]); in print_mode_probs()
241 g_print (", %d", probs->y_prob[i]); in print_mode_probs()
244 g_print (" %-32s : %d", "chroma", probs->uv_prob[0]); in print_mode_probs()
246 g_print (", %d", probs->uv_prob[i]); in print_mode_probs()

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