Home
last modified time | relevance | path

Searched refs:sample_values (Results 1 – 14 of 14) sorted by relevance

/external/tensorflow/tensorflow/python/kernel_tests/distributions/
Duniform_test.py161 sample_values = self.evaluate(samples)
162 self.assertEqual(sample_values.shape, (100000, 2))
164 sample_values[::, 0].mean(), (b_v + a1_v) / 2, atol=1e-1, rtol=0.)
166 sample_values[::, 1].mean(), (b_v + a2_v) / 2, atol=1e-1, rtol=0.)
168 np.any(sample_values[::, 0] < a1_v) or np.any(sample_values >= b_v))
170 np.any(sample_values[::, 1] < a2_v) or np.any(sample_values >= b_v))
188 sample_values = self.evaluate(samples)
191 np.any(sample_values[:, 0, 0] < a_v[0]) or
192 np.any(sample_values[:, 0, 0] >= b_v[0]))
194 np.any(sample_values[:, 0, 1] < a_v[1]) or
[all …]
Dexponential_test.py142 sample_values = self.evaluate(samples)
143 self.assertEqual(sample_values.shape, (100000, 2))
144 self.assertFalse(np.any(sample_values < 0.0))
149 stats.kstest(sample_values[:, i],
163 sample_values = self.evaluate(samples)
165 self.assertFalse(np.any(sample_values < 0.0))
170 stats.kstest(sample_values[:, 0, i],
173 stats.kstest(sample_values[:, 1, i],
Dgamma_test.py221 sample_values = self.evaluate(samples)
223 self.assertEqual(sample_values.shape, (n,))
224 self.assertTrue(self._kstest(alpha_v, beta_v, sample_values))
228 sample_values.mean(),
232 sample_values.var(),
244 sample_values = self.evaluate(samples)
246 self.assertEqual(sample_values.shape, (n,))
247 self.assertTrue(self._kstest(alpha_v, beta_v, sample_values))
251 sample_values.mean(),
255 sample_values.var(),
[all …]
Dstudent_t_test.py168 sample_values = self.evaluate(samples)
170 self.assertEqual(sample_values.shape, (n_val,))
171 self.assertAllClose(sample_values.mean(), mu_v, rtol=0.1, atol=0)
173 sample_values.var(), sigma_v**2 * df_v / (df_v - 2), rtol=0.1, atol=0)
174 self._checkKLApprox(df_v, mu_v, sigma_v, sample_values)
199 sample_values = self.evaluate(samples)
201 self.assertEqual(sample_values.shape, (n_val, 4))
202 self.assertTrue(np.all(np.logical_not(np.isnan(sample_values))))
216 sample_values = self.evaluate(samples)
219 sample_values[:, 0, 0].mean(), mu_v[0], rtol=0.1, atol=0)
[all …]
Dlaplace_test.py227 sample_values = self.evaluate(samples)
229 self.assertEqual(sample_values.shape, (n,))
233 sample_values.mean(),
238 sample_values.var(),
242 self.assertTrue(self._kstest(loc_v, scale_v, sample_values))
262 sample_values = self.evaluate(samples)
264 self.assertEqual(sample_values.shape, (n, 10, 100))
271 sample_values.mean(axis=0),
276 sample_values.var(axis=0),
284 s = sample_values[:, bi, ai]
Dbeta_test.py263 sample_values = self.evaluate(samples)
264 self.assertEqual(sample_values.shape, (100000,))
265 self.assertFalse(np.any(sample_values < 0.0))
271 sample_values,
276 sample_values.mean(axis=0), stats.beta.mean(a, b), atol=1e-2)
278 np.cov(sample_values, rowvar=0), stats.beta.var(a, b), atol=1e-1)
316 sample_values = self.evaluate(samples)
317 self.assertEqual(sample_values.shape, (100000, 3, 2, 2))
318 self.assertFalse(np.any(sample_values < 0.0))
322 sample_values[:, 1, :].mean(axis=0),
Dnormal_test.py425 sample_values = self.evaluate(samples)
430 self.assertEqual(sample_values.shape, (100000,))
431 self.assertAllClose(sample_values.mean(), mu_v, atol=1e-1)
432 self.assertAllClose(sample_values.std(), sigma_v, atol=1e-1)
440 self.assertAllEqual(expected_samples_shape, sample_values.shape)
447 self.assertAllEqual(expected_samples_shape, sample_values.shape)
472 sample_values = self.evaluate(samples)
478 self.assertAllClose(sample_values[:, 0, 0].mean(), mu_v[0], atol=1e-1)
479 self.assertAllClose(sample_values[:, 0, 0].std(), sigma_v[0], atol=1e-1)
480 self.assertAllClose(sample_values[:, 0, 1].mean(), mu_v[1], atol=1e-1)
[all …]
Dbernoulli_test.py260 sample_values = self.evaluate(samples)
261 self.assertTrue(np.all(sample_values >= 0))
262 self.assertTrue(np.all(sample_values <= 1))
266 self.assertAllClose(p, np.mean(sample_values, axis=0), atol=1e-2)
267 self.assertEqual(set([0, 1]), set(sample_values.flatten()))
Ddirichlet_test.py255 sample_values = self.evaluate(samples)
256 self.assertEqual(sample_values.shape, (100000, 2))
257 self.assertTrue(np.all(sample_values > 0.0))
263 sample_values[:, 0],
Dcategorical_test.py373 sample_values = self.evaluate(samples)
374 self.assertFalse(np.any(sample_values < 0))
375 self.assertFalse(np.any(sample_values > 1))
378 sample_values == 0, axis=0), atol=1e-2)
381 sample_values == 1, axis=0), atol=1e-2)
/external/webrtc/test/testsupport/
Dperf_test_unittest.cc89 EXPECT_EQ(hist1.sample_values(0), 7); in TEST_F()
90 EXPECT_EQ(hist1.sample_values(1), 1); in TEST_F()
91 EXPECT_EQ(hist1.sample_values(2), 1); in TEST_F()
92 EXPECT_EQ(hist1.sample_values(3), 2); in TEST_F()
93 EXPECT_EQ(hist1.sample_values(4), 3); in TEST_F()
Dperf_test_histogram_writer_unittest.cc54 EXPECT_EQ(hist1.sample_values(0), 15e7); in TEST()
166 EXPECT_EQ(hist1.sample_values(0), 128) << "1024 bits = 128 bytes"; in TEST()
/external/perfetto/tools/trace_to_text/
Dpprof_builder.cc743 protozero::PackedVarInt sample_values; in WriteAllocations() local
752 sample_values.Append((*view_its)[i].Get(1).AsLong()); in WriteAllocations()
755 if (!builder->AddSample(sample_values, callstack_id)) in WriteAllocations()
/external/angle/src/tests/test_utils/runner/
DHistogramWriter.cpp159 js::Value sample(histogram.sample_values(sampleIndex)); in getAsJSON()