| /external/tensorflow/tensorflow/core/framework/ |
| tensor_testutil.cc | 23 void ExpectClose(const Tensor& x, const Tensor& y, double atol, double rtol) {
40 (rtol < 0) ? kDefaultTol : static_cast<RealType>(rtol);
53 void ExpectClose(const Tensor& x, const Tensor& y, double atol, double rtol) {
57 ExpectClose<Eigen::half>(x, y, atol, rtol);
60 ExpectClose<float>(x, y, atol, rtol);
63 ExpectClose<double>(x, y, atol, rtol);
66 ExpectClose<complex64>(x, y, atol, rtol);
69 ExpectClose<complex128>(x, y, atol, rtol);
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| test_util.py | 45 rtol=1e-2, atol=0.):
73 rtol: Python `float`-type indicating the admissible relative error between
102 rtol=rtol, atol=atol)
107 rtol=1e-2, atol=0.):
124 rtol: Python `float`-type indicating the admissible relative error between
151 self.assertAllClose(mean_, sample_mean_, rtol=rtol, atol=atol)
152 self.assertAllClose(variance_, sample_variance_, rtol=rtol, atol=atol
[all...] |
| deterministic.py | 58 rtol=None,
65 The `atol` and `rtol` parameters allow for some slack in `pmf`, `cdf`
70 = 1, if Abs(x - loc) <= atol + rtol * Abs(loc),
80 rtol: Non-negative `Tensor` of same `dtype` as `loc` and broadcastable
99 with ops.name_scope(name, values=[loc, atol, rtol]) as name:
121 self._rtol = self._get_tol(rtol)
123 if rtol is None:
126 self._slack = self.atol + self.rtol * math_ops.abs(self.loc)
151 def rtol(self): member in class:_BaseDeterministic
232 rtol=None
[all...] |
| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/bijectors/ |
| sigmoid_test.py | 40 self.assertAllClose(y, bijector.forward(x).eval(), atol=0., rtol=1e-2)
41 self.assertAllClose(x, bijector.inverse(y).eval(), atol=0., rtol=1e-4)
43 y, event_ndims=0).eval(), atol=0., rtol=1e-6)
45 x, event_ndims=0).eval(), atol=0., rtol=1e-4)
57 Sigmoid(), x, y, event_ndims=0, atol=0., rtol=1e-4)
|
| square_test.py | 45 y, event_ndims=0).eval(), atol=0., rtol=1e-7)
50 rtol=1e-7)
55 assert_scalar_congruency(bijector, lower_x=1e-3, upper_x=1.5, rtol=0.05)
|
| permute_test.py | 61 self.assertAllClose(expected_y, y_, rtol=1e-6, atol=0)
62 self.assertAllClose(expected_x, x_, rtol=1e-6, atol=0)
63 self.assertAllClose(0., fldj, rtol=1e-6, atol=0)
64 self.assertAllClose(0., ildj, rtol=1e-6, atol=0)
83 bijector, x, y, event_ndims=1, rtol=1e-6, atol=0)
|
| power_transform_test.py | 47 rtol=1e-4,
54 bijector, lower_x=-2., upper_x=1.5, rtol=0.05)
61 assert_bijective_and_finite(bijector, x, y, event_ndims=0, rtol=1e-3)
|
| reshape_test.py | 69 self.assertAllClose(expected_y, y_, rtol=1e-6, atol=0)
70 self.assertAllClose(expected_x, x_, rtol=1e-6, atol=0)
71 self.assertAllClose(0., fldj_, rtol=1e-6, atol=0)
72 self.assertAllClose(0., ildj_, rtol=1e-6, atol=0)
120 self.assertAllClose(expected_y, y_, rtol=1e-6, atol=0)
121 self.assertAllClose(expected_x, x_, rtol=1e-6, atol=0)
122 self.assertAllClose(expected_y_scalar, y_scalar_, rtol=1e-6, atol=0)
123 self.assertAllClose(expected_x_scalar, x_scalar_, rtol=1e-6, atol=0)
224 self.assertAllClose(expected_y, y_, rtol=1e-6, atol=0)
225 self.assertAllClose(expected_x, x_, rtol=1e-6, atol=0
[all...] |
| real_nvp_test.py | 75 self.assertAllClose(forward_x_, forward_inverse_y_, rtol=1e-1, atol=0.)
76 self.assertAllClose(x_, inverse_y_, rtol=1e-1, atol=0.)
77 self.assertAllClose(ildj_, -fldj_, rtol=1e-6, atol=0.)
97 rtol=0.02)
117 rtol=0.02)
|
| matrix_inverse_tril_test.py | 60 self.assertAllClose(x_inv_, y_, atol=0., rtol=1e-5)
61 self.assertAllClose(x_, x_back_, atol=0., rtol=1e-5)
78 self.assertAllClose(x_inv_, y_, atol=0., rtol=1e-5)
79 self.assertAllClose(x_, x_back_, atol=0., rtol=1e-5)
96 self.assertAllClose(x_inv_, y_, atol=0., rtol=1e-5)
97 self.assertAllClose(x_, x_back_, atol=0., rtol=1e-5)
120 self.assertAllClose(x_inv_, y_, atol=0., rtol=1e-5)
121 self.assertAllClose(x_, x_back_, atol=0., rtol=1e-5)
122 self.assertAllClose(expected_fldj_, fldj_, atol=0., rtol=1e-3)
123 self.assertAllClose(-expected_fldj_, ildj_, atol=0., rtol=1e-3
[all...] |
| sinh_arcsinh_bijector_test.py | 57 rtol=1e-4,
97 assert_scalar_congruency(bijector, lower_x=-2., upper_x=2.0, rtol=0.05)
102 assert_scalar_congruency(bijector, lower_x=-2., upper_x=2.0, rtol=0.05)
109 assert_bijective_and_finite(bijector, x, x, event_ndims=0, rtol=1e-3)
117 bijector, x, x, event_ndims=0, rtol=1e-3)
151 self.assertAllClose(y, bijector.forward(x).eval(), rtol=1e-4, atol=0.)
152 self.assertAllClose(x, bijector.inverse(y).eval(), rtol=1e-4, atol=0.)
170 rtol=1e-4,
175 rtol=1e-4,
|
| gumbel_test.py | 51 rtol=1e-4,
57 Gumbel(loc=0.3, scale=20.), lower_x=1., upper_x=100., rtol=0.02)
64 assert_bijective_and_finite(bijector, x, y, event_ndims=0, rtol=1e-3)
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| bijector_test_util.py | 52 rtol=0.01,
73 the variance based check of the Jacobian will require small `rtol` or
76 rtol: Positive number. Used for the Jacobian check.
151 inverse_forward_x_v, uniform_x_samps_v, atol=1e-5, rtol=1e-3)
153 forward_inverse_y_v, uniform_y_samps_v, atol=1e-5, rtol=1e-3)
156 upper_x - lower_x, change_measure_dy_dx_v, atol=0, rtol=rtol)
160 dy_dx_v, np.divide(1., dx_dy_v), atol=1e-5, rtol=1e-3)
164 bijector, x, y, event_ndims, atol=0, rtol=1e-5, sess=None):
177 rtol: Relative tolerance
[all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/signal/ |
| dct_ops_test.py | 106 def _compare(self, signals, norm, dct_type, atol=5e-4, rtol=5e-4):
110 self.assertAllClose(np_dct, tf_dct, atol=atol, rtol=rtol)
113 self.assertAllClose(np_idct, tf_idct, atol=atol, rtol=rtol)
116 self.assertAllClose(scipy_dct, tf_dct, atol=atol, rtol=rtol)
118 self.assertAllClose(scipy_idct, tf_idct, atol=atol, rtol=rtol)
131 self.assertAllClose(signals, tf_idct_dct, atol=atol, rtol=rtol
[all...] |
| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| mvn_diag_plus_low_rank_test.py | 315 atol=0., rtol=0.02)
317 atol=0., rtol=1e-6)
320 atol=0., rtol=0.02)
322 atol=0., rtol=1e-6)
325 atol=0., rtol=0.02)
327 atol=0., rtol=1e-6)
330 atol=0., rtol=0.02)
332 atol=0., rtol=1e-6)
335 atol=0., rtol=1e-6)
338 atol=0., rtol=0.02
[all...] |
| poisson_lognormal_test.py | 43 sess.run, pln, batch_size=1, rtol=0.1)
57 sess.run, pln, rtol=0.02)
71 sess.run, pln, batch_size=2, rtol=0.1, atol=0.01)
85 sess.run, pln, rtol=0.1, atol=0.01)
99 sess.run, pln, batch_size=4, rtol=0.1, atol=0.08)
113 sess.run, pln, rtol=0.1, atol=0.01)
|
| vector_diffeomixture_test.py | 61 sess.run, vdm, radius=2., center=0., rtol=0.015)
64 sess.run, vdm, radius=4., center=2., rtol=0.015)
90 sess.run, vdm, radius=2., center=1., rtol=0.015)
93 sess.run, vdm, radius=4., center=3., rtol=0.01)
122 sess.run, vdm, radius=2., center=0., rtol=0.01)
125 sess.run, vdm, radius=4., center=2., rtol=0.01)
149 sess.run, vdm, radius=2., center=0., rtol=0.01)
152 sess.run, vdm, radius=3., center=loc_1, rtol=0.02)
177 sess.run, vdm, rtol=0.02, cov_rtol=0.08)
216 sess.run, vdm, rtol=0.02, cov_rtol=0.08
[all...] |
| vector_student_t_test.py | 95 rtol=0., atol=1e-5)
98 rtol=0., atol=1e-5)
124 rtol=0., atol=1e-5)
127 rtol=0., atol=1e-5)
157 rtol=0., atol=1e-5)
160 rtol=0., atol=1e-5)
188 rtol=0., atol=1e-5)
191 rtol=0., atol=1e-5)
223 rtol=0., atol=1e-5)
226 rtol=0., atol=1e-5
[all...] |
| moving_stats_test.py | 62 self.assertAllClose(true_mean, ema_, rtol=0.005, atol=0.015)
63 self.assertAllClose(true_stddev**2., emv_, rtol=0.06, atol=0.)
80 self.assertAllClose(true_mean, ema_, rtol=0.005, atol=0.015)
81 self.assertAllClose(true_stddev**2., emv_, rtol=0.1, atol=0.)
103 self.assertAllClose(true_mean, ema_, rtol=0.005, atol=0.015)
104 self.assertAllClose(true_stddev**2., emv_, rtol=0.06, atol=0.)
126 self.assertAllClose(expected_, log_mean_exp_, rtol=1e-6, atol=1e-9)
|
| /external/tensorflow/tensorflow/python/keras/ |
| activations_test.py | 65 self.assertAllClose(result[0], expected, rtol=1e-05)
77 self.assertAllClose(result[0, 0], expected, rtol=1e-05)
87 self.assertAllClose(result, positive_values * scale, rtol=1e-05)
103 self.assertAllClose(result, expected, rtol=1e-05)
114 self.assertAllClose(result, expected, rtol=1e-05)
130 self.assertAllClose(result, expected, rtol=1e-05)
143 self.assertAllClose(result, expected, rtol=1e-05)
150 self.assertAllClose(result, positive_values, rtol=1e-05)
155 self.assertAllClose(result, expected, rtol=1e-05)
162 self.assertAllClose(result, test_values, rtol=1e-05
[all...] |
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| math_utils_test.py | 72 rtol=1e-5,
86 rtol=1e-5,
279 warmup_iterations=0, rtol=1e-6, data_length=500, chunk_size=4):
308 rtol=rtol)
313 rtol=rtol)
317 rtol=rtol)
321 rtol=rtol
[all...] |
| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| matrix_functions_test.py | 48 expected_mat, mat_root, atol=TOLERANCE, rtol=TOLERANCE)
59 expected_mat, mat_root, atol=TOLERANCE, rtol=TOLERANCE)
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| cross_grad_test.py | 42 self.assertAllClose(jacob_u[0], jacob_u[1], rtol=1e-3, atol=1e-3)
43 self.assertAllClose(jacob_v[0], jacob_v[1], rtol=1e-3, atol=1e-3)
|
| /external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
| special_math_test.py | 82 ErrorSpec = collections.namedtuple("ErrorSpec", ["rtol", "atol"])
156 _error32 = ErrorSpec(rtol=1e-4, atol=0.)
157 _error64 = ErrorSpec(rtol=1e-6, atol=0.)
188 rtol=error_spec.rtol,
214 rtol=error_spec.rtol,
230 _error32 = ErrorSpec(rtol=1e-4, atol=0.)
231 _error64 = ErrorSpec(rtol=1e-4, atol=0.)
245 _error32 = ErrorSpec(rtol=0.1, atol=1e-7
[all...] |
| /external/tensorflow/tensorflow/python/ops/ |
| collective_ops_test.py | 48 self.assertAllClose(results[0], expected, rtol=1e-5, atol=1e-5)
49 self.assertAllClose(results[1], expected, rtol=1e-5, atol=1e-5)
67 self.assertAllClose(results[i], expected, rtol=1e-5, atol=1e-5)
108 self.assertAllClose(results[0], t0, rtol=1e-5, atol=1e-5)
109 self.assertAllClose(results[1], t0, rtol=1e-5, atol=1e-5)
130 self.assertAllClose(results[0], expected, rtol=1e-5, atol=1e-5)
131 self.assertAllClose(results[1], expected, rtol=1e-5, atol=1e-5)
|
