| /cts/apps/CameraITS/tools/ |
| load_scene.py | 53 if np.isclose(chart_scaling, its.cv2image.SCALE_TELE_IN_WFOV_BOX, atol=0.01):
56 elif np.isclose(chart_scaling, its.cv2image.SCALE_RFOV_IN_WFOV_BOX, atol=0.01):
|
| /external/tensorflow/tensorflow/contrib/constrained_optimization/python/ |
| swap_regret_optimizer_test.py | 112 self.assertAllClose(eigenvector1, matrix_eigenvector1, rtol=0, atol=1e-6)
113 self.assertAllClose(eigenvector2, matrix_eigenvector2, rtol=0, atol=1e-6)
128 expected_projected_matrix, projected_matrix, rtol=0, atol=1e-6)
145 expected_projected_matrix, projected_matrix, rtol=0, atol=1e-6)
175 self.assertAllClose(expected, actual, rtol=0, atol=1e-6)
208 self.assertAllClose(expected, actual, rtol=0, atol=1e-6)
|
| /external/tensorflow/tensorflow/compiler/tests/ |
| fused_batchnorm_test.py | 113 self.assertAllClose(y_val, y_ref_converted, atol=1e-3)
169 self.assertAllClose(mean_val, mean_ref, atol=1e-3)
170 self.assertAllClose(y_val, y_ref_converted, atol=1e-3)
171 self.assertAllClose(var_val, var_ref, atol=1e-3)
247 self.assertAllClose(grad_x_val, grad_x_ref_converted, atol=1e-2)
248 self.assertAllClose(grad_scale_val, grad_scale_ref, atol=1e-2)
249 self.assertAllClose(grad_offset_val, grad_offset_ref, atol=1e-3)
309 self.assertAllClose(grad_x_val, grad_x_ref, atol=1e-2)
310 self.assertAllClose(grad_scale_val, grad_scale_ref, atol=1e-2)
311 self.assertAllClose(grad_offset_val, grad_offset_ref, atol=1e-3
[all...] |
| reduce_ops_test.py | 44 atol=1e-4):
55 result, np_reduce_fn(test_input, axis=0), rtol=rtol, atol=atol)
59 result, np_reduce_fn(test_input, axis=1), rtol=rtol, atol=atol)
63 result, np_reduce_fn(test_input, axis=1), rtol=rtol, atol=atol)
178 atol=1e-4):
189 atol: the absolute error.
207 atol=atol
[all...] |
| /external/tensorflow/tensorflow/contrib/cudnn_rnn/python/kernel_tests/ |
| cudnn_rnn_ops_test.py | 355 atol=3e-6):
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
[all...] |
| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| 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...] |
| sinh_arcsinh_test.py | 54 self.assertAllClose(loc, sasnorm_samps.mean(axis=0), atol=0.1)
56 norm_samps.mean(axis=0), sasnorm_samps.mean(axis=0), atol=0.1)
58 norm_samps.std(axis=0), sasnorm_samps.std(axis=0), atol=0.1)
99 self.assertAllClose(loc, saslap_samps.mean(axis=0), atol=0.1)
101 lap_samps.mean(axis=0), saslap_samps.mean(axis=0), atol=0.1)
103 lap_samps.std(axis=0), saslap_samps.std(axis=0), atol=0.1)
|
| independent_test.py | 71 rtol=1e-5, atol=0.)
95 rtol=1e-6, atol=0.)
124 self.assertAllClose(sample_mean_, actual_mean_, rtol=0.02, atol=0.)
125 self.assertAllClose(sample_var_, actual_var_, rtol=0.04, atol=0.)
126 self.assertAllClose(sample_std_, actual_std_, rtol=0.02, atol=0.)
127 self.assertAllClose(sample_entropy_, actual_entropy_, rtol=0.01, atol=0.)
128 self.assertAllClose(loc, actual_mode_, rtol=1e-6, atol=0.)
269 rtol=1e-6, atol=0.)
|
| mvn_diag_test.py | 96 self.assertAllClose(scipy_mvn.entropy(), dist.entropy().eval(), atol=1e-4)
107 atol=0., rtol=0.05)
109 atol=0.05, rtol=0.05)
140 atol=0.10, rtol=0.05)
142 atol=0.10, rtol=0.05)
238 self.assertAllClose(mu, samps.mean(axis=0), atol=0.1)
239 self.assertAllClose(cov_mat, np.cov(samps.T), atol=0.1)
276 rtol=1e-6, atol=0.)
|
| onehot_categorical_test.py | 160 atol=1e-2)
162 atol=1e-2)
192 self.assertAllClose(kl_actual_, kl_expected, atol=0., rtol=1e-6)
193 self.assertAllClose(kl_sample_, kl_expected, atol=1e-2, rtol=0.)
218 self.assertAllClose(actual_mean_, sample_mean_, atol=0., rtol=0.07)
221 actual_covariance_, sample_covariance_, atol=0., rtol=0.10)
246 self.assertAllClose(actual_mean_, sample_mean_, atol=0., rtol=0.1)
249 actual_covariance_, sample_covariance_, atol=0., rtol=0.1)
|
| /external/tensorflow/tensorflow/python/keras/ |
| backend_test.py | 60 np.testing.assert_allclose(keras_output, np_output, atol=1e-4)
89 np.testing.assert_allclose(keras_output, np_output, atol=1e-4)
245 self.assertAllClose(val.mean(), 1.5, atol=1e-1)
246 self.assertAllClose(val.max(), 2., atol=1e-1)
247 self.assertAllClose(val.min(), 1., atol=1e-1)
252 self.assertAllClose(val.mean(), 1., atol=1e-1)
253 self.assertAllClose(val.std(), 0.5, atol=1e-1)
[all...] |
| /cts/apps/CameraITS/tests/scene0/ |
| test_tonemap_curve.py | 53 if np.allclose(COLOR_CHECKER[color], raw_means, atol=RAW_TOL):
83 if not np.allclose(raw_means, yuv_means, atol=RGB_MEAN_TOL):
84 color_match_errs.append('RAW: %s, RGB(norm): %s, ATOL: %.2f' % (
86 if not np.allclose(raw_vars, yuv_vars, atol=RGB_VAR_TOL):
87 color_variance_errs.append('RAW: %s, RGB: %s, ATOL: %.4f' % (
|
| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/bijectors/ |
| 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.)
|
| sinh_arcsinh_bijector_test.py | 58 atol=0.)
127 # log_det_jacobian will be 0. Because of this we use atol.
129 bijector, bounds, bounds, event_ndims=0, atol=2e-6)
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.)
171 atol=0.)
176 atol=0.)
|
| /external/tensorflow/tensorflow/core/framework/ |
| tensor_testutil.h | 108 // than atol + rtol * abs(x). If atol or rtol is negative, it is replaced
110 void ExpectClose(const Tensor& x, const Tensor& y, double atol = -1.0,
216 // Assumes atol and rtol are nonnegative.
217 static bool IsClose(const T& x, const T& y, const T& atol, const T& rtol) {
220 (Eigen::numext::abs(x - y) <= atol + rtol * Eigen::numext::abs(x));
227 const T& atol, const T& rtol) {
228 return Helper<T>::IsClose(x.real(), y.real(), atol, rtol) &&
229 Helper<T>::IsClose(x.imag(), y.imag(), atol, rtol);
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| betainc_op_test.py | 59 self.assertAllCloseAccordingToType(scipy_out, tf_out, rtol=tol, atol=0)
75 atol=0)
80 atol=0)
85 atol=0)
90 atol=0)
95 atol=0)
|
| /external/ipsec-tools/src/racoon/ |
| prsa_tok.l | 82 {digit}+ { prsalval.num = atol(prsatext); return NUMBER; }
|
| /external/tensorflow/tensorflow/python/keras/layers/ |
| normalization_test.py | 108 np.testing.assert_allclose(np.mean(out, axis=(0, 2, 3)), 0.0, atol=1e-1)
109 np.testing.assert_allclose(np.std(out, axis=(0, 2, 3)), 1.0, atol=1e-1)
128 np.testing.assert_allclose(np.mean(out, axis=(0, 1, 2)), 0.0, atol=1e-1)
129 np.testing.assert_allclose(np.std(out, axis=(0, 1, 2)), 1.0, atol=1e-1)
269 np.testing.assert_allclose(out.mean(), 0.0, atol=1e-1)
270 np.testing.assert_allclose(out.std(), 1.0, atol=1e-1)
329 self.assertAllClose(x1, x2, atol=1e-7)
346 self.assertAllClose(x1, x2, atol=1e-7)
384 (val_a - np.mean(val_a)) / np.std(val_a), out, atol=1e-3)
403 np.testing.assert_allclose(out.mean(), 0.0, atol=1e-1
[all...] |
| /external/tensorflow/tensorflow/python/layers/ |
| normalization_test.py | 164 self.assertAllClose(test_var, ref_var, rtol=1.e-3, atol=1.e-3)
165 self.assertAllClose(test_loss, ref_loss, rtol=1.e-3, atol=1.e-3)
214 self.assertAllClose(var_fused, var_nonfused, atol=1e-6)
222 self.assertAllClose(loss_fused_val, loss_nonfused_val, atol=1e-6)
347 self.assertAllClose(mean, moving_mean, atol=1e-2)
348 self.assertAllClose(variance, moving_var, atol=1e-2)
388 self.assertAllClose(mean, moving_mean, atol=1e-2)
389 self.assertAllClose(variance, moving_var, atol=1e-2)
430 self.assertAllClose(mean, moving_mean, atol=1e-2)
431 self.assertAllClose(variance, moving_var, atol=1e-2
[all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
| dirichlet_multinomial_test.py | 266 self.assertAllClose(sample_mean_, analytic_mean, atol=0.04, rtol=0.)
267 self.assertAllClose(sample_cov_, analytic_cov, atol=0.05, rtol=0.)
268 self.assertAllClose(sample_var_, analytic_var, atol=0.05, rtol=0.)
269 self.assertAllClose(sample_stddev_, analytic_stddev, atol=0.02, rtol=0.)
381 self.assertAllClose(0.8, self.evaluate(pmf), atol=1e-4)
389 self.assertAllClose(0.8**2, self.evaluate(pmf), atol=1e-2)
397 self.assertAllClose(3 * 0.1 * 0.8 * 0.8, self.evaluate(pmf), atol=1e-2)
460 self.assertAllClose(actual_mean_, sample_mean_, atol=0., rtol=0.20)
463 actual_covariance_, sample_covariance_, atol=0., rtol=0.20)
489 self.assertAllClose(actual_mean_, sample_mean_, atol=0., rtol=0.20
[all...] |
| /external/autotest/client/tests/tracing_microbenchmark/src/ |
| getuid_microbench.c | 37 iterations = atol(argv[1]);
|
| /external/e2fsprogs/ext2ed/ |
| ext2_com.c | 91 group_num=atol (buffer);
|
| /external/grpc-grpc/third_party/nanopb/tests/fuzztest/ |
| generate_message.c | 88 random_seed = atol(argv[1]);
|
| /external/libunwind/tests/ |
| Gtest-exc.c | 141 depth = atol (argv[1]);
|
| forker.c | 42 count = atol (argv[1]);
|
