| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| D | test_util.py | 45 rtol=1e-2, atol=0.): argument
102 rtol=rtol, atol=atol)
107 rtol=1e-2, atol=0.): argument
151 self.assertAllClose(mean_, sample_mean_, rtol=rtol, atol=atol)
152 self.assertAllClose(variance_, sample_variance_, rtol=rtol, atol=atol)
153 self.assertAllClose(stddev_, sample_stddev_, rtol=rtol, atol=atol)
206 atol=0.): argument
322 rtol=rtol, atol=atol)
331 atol=0.1, argument
387 self.assertAllClose(mean_, sample_mean_, rtol=rtol, atol=atol)
[all …]
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| D | deterministic.py | 57 atol=None, argument
99 with ops.name_scope(name, values=[loc, atol, rtol]) as name:
120 self._atol = self._get_tol(atol)
124 self._slack = self.atol
126 self._slack = self.atol + self.rtol * math_ops.abs(self.loc)
146 def atol(self): member in _BaseDeterministic
231 atol=None, argument
268 atol=atol,
345 atol=None, argument
385 atol=atol,
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| /external/tensorflow/tensorflow/core/framework/ |
| D | tensor_testutil.cc | 23 void ExpectClose(const Tensor& x, const Tensor& y, double atol, double rtol) { in ExpectClose() argument
38 (atol < 0) ? kDefaultTol : static_cast<RealType>(atol); in ExpectClose()
53 void ExpectClose(const Tensor& x, const Tensor& y, double atol, double rtol) { in ExpectClose() argument
57 ExpectClose<Eigen::half>(x, y, atol, rtol); in ExpectClose()
60 ExpectClose<float>(x, y, atol, rtol); in ExpectClose()
63 ExpectClose<double>(x, y, atol, rtol); in ExpectClose()
66 ExpectClose<complex64>(x, y, atol, rtol); in ExpectClose()
69 ExpectClose<complex128>(x, y, atol, rtol); in ExpectClose()
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| /external/tensorflow/tensorflow/python/ops/distributions/ |
| D | bijector_test_util.py | 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): argument
222 np.testing.assert_allclose(x_from_x, x, atol=atol, rtol=rtol)
223 np.testing.assert_allclose(y_from_y, y, atol=atol, rtol=rtol)
224 np.testing.assert_allclose(-ildj_f_x, fldj_x, atol=atol, rtol=rtol)
225 np.testing.assert_allclose(-ildj_y, fldj_g_y, atol=atol, rtol=rtol)
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | linalg_ops_test.py | 59 for np_type, atol in [(np.float32, 0.05), (np.float64, 1e-5)]:
70 rhs, math_ops.matmul(array, x).eval(), atol=atol)
81 for np_dtype, atol in [(np.float32, 0.05), (np.float64, 1e-5),
91 self.assertAllClose(logdet_np, self.evaluate(logdet_tf), atol=atol)
94 for np_dtype, atol in [(np.float32, 0.05), (np.float64, 1e-5),
100 self.assertAllClose(logdet_np, self.evaluate(logdet_tf), atol=atol)
111 for np_dtype, atol in [(np.float32, 0.05), (np.float64, 1e-5),
118 log_abs_det_np, self.evaluate(log_abs_det_tf), atol=atol)
119 self.assertAllClose(sign_np, self.evaluate(sign_tf), atol=atol)
122 for np_dtype, atol in [(np.float32, 0.05), (np.float64, 1e-5),
[all …]
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| D | self_adjoint_eig_op_test.py | 90 np.matmul(v, v.transpose()), np.eye(32, dtype=np.float32), atol=2e-3)
126 self.assertAllClose(x, y, atol=tol)
138 self.assertAllClose(x_ei, y_ei, atol=tol, rtol=tol)
154 atol = 1e-4
156 atol = 1e-12
167 self.assertAllClose(self.evaluate(a_ev), a, atol=atol)
171 self.evaluate(tf_v), atol)
175 np.sort(np_e, -1), np.sort(self.evaluate(tf_e), -1), atol=atol)
237 self.assertAllClose(theoretical, numerical, atol=tol, rtol=tol)
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| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/kernel_tests/ |
| D | sdca_ops_test.py | 276 self.assertAllClose(0.411608, unregularized_loss.eval(), atol=0.05)
277 self.assertAllClose(0.525457, loss.eval(), atol=0.01)
281 0.01, lr.approximate_duality_gap().eval(), rtol=1e-2, atol=1e-2)
324 self.assertAllClose(0.411608, unregularized_loss.eval(), atol=0.05)
325 self.assertAllClose(0.525457, loss.eval(), atol=0.01)
329 0.01, lr.approximate_duality_gap().eval(), rtol=1e-2, atol=1e-2)
386 self.assertAllClose(0.512591, unregularized_loss.eval(), atol=0.05)
387 self.assertAllClose(0.593014, loss.eval(), atol=0.01)
391 0.01, lr.approximate_duality_gap().eval(), rtol=1e-2, atol=1e-2)
511 self.assertAllClose(0.411608, unregularized_loss.eval(), atol=0.02)
[all …]
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| /external/tensorflow/tensorflow/python/kernel_tests/signal/ |
| D | dct_ops_test.py | 106 def _compare(self, signals, norm, dct_type, atol=5e-4, rtol=5e-4): argument
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)
132 self.assertAllClose(signals, tf_dct_idct, atol=atol, rtol=rtol)
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| D | fft_ops_test.py | 43 rtol=1e-4, atol=1e-4): argument
44 self._compareForward(x, rank, fft_length, use_placeholder, rtol, atol)
45 self._compareBackward(x, rank, fft_length, use_placeholder, rtol, atol)
48 rtol=1e-4, atol=1e-4): argument
56 self.assertAllClose(x_np, x_tf, rtol=rtol, atol=atol)
59 rtol=1e-4, atol=1e-4): argument
67 self.assertAllClose(x_np, x_tf, rtol=rtol, atol=atol)
76 rtol=1e-2, atol=1e-2): argument
93 self.assertAllClose(x_jacob_t, x_jacob_n, rtol=rtol, atol=atol)
94 self.assertAllClose(y_jacob_t, y_jacob_n, rtol=rtol, atol=atol)
[all …]
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| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| D | 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 …]
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| D | batch_reshape_test.py | 95 atol=0., rtol=1e-6)
97 atol=0., rtol=1e-6)
151 atol=0., rtol=1e-6)
153 atol=0., rtol=1e-6)
155 atol=0., rtol=1e-6)
157 atol=0., rtol=1e-6)
159 atol=0., rtol=1e-6)
220 atol=0., rtol=1e-6)
222 atol=0., rtol=1e-6)
273 atol=0., rtol=1e-6)
[all …]
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| D | 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 …]
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| D | 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/kernel_tests/distributions/ |
| D | special_math_test.py | 105 self.assertAllClose(expected_x, self.evaluate(x), atol=0.)
121 self.assertAllClose(expected_x_, x_, atol=0.)
156 _error32 = ErrorSpec(rtol=1e-4, atol=0.)
157 _error64 = ErrorSpec(rtol=1e-6, atol=0.)
189 atol=error_spec.atol)
215 atol=error_spec.atol)
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)
246 _error64 = ErrorSpec(rtol=0.1, atol=1e-7)
[all …]
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| /external/tensorflow/tensorflow/compiler/tests/ |
| D | cholesky_op_test.py | 42 def _verifyCholeskyBase(self, sess, placeholder, x, chol, verification, atol): argument
44 self.assertAllClose(x, verification_np, atol=atol)
52 self.assertAllClose(chol_matrix, np.tril(chol_matrix), atol=atol)
55 def _verifyCholesky(self, x, atol=1e-6): argument
63 self._verifyCholeskyBase(sess, placeholder, x, chol, verification, atol)
84 self._verifyCholesky(matrices, atol=1e-4)
109 self._verifyCholesky(data, atol=1e-4)
126 self._verifyCholesky(matrix, atol=1e-4)
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| D | matrix_triangular_solve_op_test.py | 50 atol): argument
53 self.assertAllClose(b, verification_np, atol=atol)
55 def _VerifyTriangularSolve(self, a, b, lower, adjoint, atol): argument
67 verification, atol)
69 def _VerifyTriangularSolveCombo(self, a, b, atol=1e-4): argument
73 a if lower else transp(a), b, lower, adjoint, atol)
106 a.astype(dtype), b.astype(dtype), atol=1e-3)
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/python/utils/ |
| D | losses_test.py | 61 self.assertAllClose(np.exp(np.ones([2, 1])), pos_loss[:2], atol=1e-4)
62 self.assertAllClose(np.exp(-np.ones([2, 1])), neg_loss[:2], atol=1e-4)
67 self.assertAllClose(np.exp(-np.ones([4, 1])), pos_loss[6:10], atol=1e-4)
68 self.assertAllClose(np.exp(np.ones([4, 1])), neg_loss[6:10], atol=1e-4)
75 pos_loss[2:6], atol=1e-4)
78 neg_loss[2:6], atol=1e-4)
93 np.square(labels[:5] - predictions[:5]), loss[:5], atol=1e-4)
|
| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/bijectors/ |
| D | 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 …]
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| D | 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)
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| D | 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)
|
| /external/tensorflow/tensorflow/contrib/cudnn_rnn/python/kernel_tests/ |
| D | cudnn_rnn_ops_test.py | 355 atol=3e-6): argument
369 self.assertAllClose(outputs, cu_outputs, rtol=rtol, atol=atol)
371 self.assertAllClose(s, cu_s, rtol=rtol, atol=atol)
373 self.assertAllClose(sg, cu_sg, rtol=rtol, atol=atol)
374 self.assertAllClose(inp_grad, cu_inp_grad, rtol=rtol, atol=atol)
375 self.assertAllClose(bgrad, cu_bgrad, rtol=rtol, atol=atol)
376 self.assertAllClose(wgrad, cu_wgrad, rtol=rtol, atol=atol)
424 atol=5e-4,
489 rtol, atol = 5e-3, 5e-4
490 self.assertAllClose(outputs, cu_outputs, rtol=rtol, atol=atol)
[all …]
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| /external/tensorflow/tensorflow/contrib/rnn/python/kernel_tests/ |
| D | lstm_ops_test.py | 408 atol=1e-6): argument
415 self.assertAllClose(basic_outputs, block_outputs, rtol=rtol, atol=atol)
416 self.assertAllClose(basic_grads, block_grads, rtol=rtol, atol=atol)
418 self.assertAllClose(basic, block, rtol=rtol, atol=atol)
420 self.assertAllClose(basic_outputs, fused_outputs, rtol=rtol, atol=atol)
421 self.assertAllClose(basic_state, fused_state, rtol=rtol, atol=atol)
422 self.assertAllClose(basic_grads, fused_grads, rtol=rtol, atol=atol)
424 self.assertAllClose(basic, fused, rtol=rtol, atol=atol)
427 def testLSTMBasicToBlock(self, dtype, rtol, atol): argument
429 dtype, use_peephole=False, rtol=rtol, atol=atol)
[all …]
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| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| D | factorization_ops_test.py | 208 self.assertAllClose(row_factors[0], self._row_factors_0, atol=1e-3)
209 self.assertAllClose(row_factors[1], self._row_factors_1, atol=1e-3)
232 atol=1e-3)
236 atol=1e-3)
280 self.assertAllClose(col_factors[0], self._col_factors_0, atol=1e-3)
281 self.assertAllClose(col_factors[1], self._col_factors_1, atol=1e-3)
282 self.assertAllClose(col_factors[2], self._col_factors_2, atol=1e-3)
307 atol=1e-3)
312 atol=1e-3)
383 self.assertAllClose(row_factors[0], self._row_factors_0, atol=1e-3)
[all …]
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| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| D | external_optimizer_test.py | 58 def assertAllClose(self, array1, array2, rtol=1e-5, atol=1e-5): argument
66 super(TestCase, self).assertAllClose(array1, array2, rtol=rtol, atol=atol)
161 atol=1e-5, argument
171 self.assertAllClose(np.ones(dimension), sess.run(x), rtol=rtol, atol=atol)
187 method='Nelder-Mead', options={}, rtol=1e-4, atol=1e-4)
195 atol=1e-3)
203 atol=1e-1)
213 atol=1e-1,
218 method='SLSQP', options={}, rtol=1e-3, atol=1e-3)
222 method='CG', options={'gtol': 1e-03}, rtol=1e-3, atol=1e-3)
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| /external/tensorflow/tensorflow/contrib/metrics/python/kernel_tests/ |
| D | histogram_ops_test.py | 78 atol=0.05,
88 atol=0.05,
103 atol=0.05,
116 atol=0.05,
127 atol=0.005,
136 atol=0.05, argument
182 np.testing.assert_allclose(desired_auc, auc_eval, atol=atol, err_msg=msg)
|