/external/syslinux/com32/lib/ |
H A D | atol.c | 2 #define NAME atol
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/external/tensorflow/tensorflow/core/framework/ |
H A D | tensor_testutil.cc | 23 bool IsClose(const T& x, const T& y, double atol, double rtol) { argument 25 return x == y || std::abs(x - y) < atol + rtol * std::abs(x); 29 void ExpectClose(const Tensor& x, const Tensor& y, double atol, double rtol) { argument 33 if (!IsClose(Tx(i), Ty(i), atol, rtol)) { 36 LOG(ERROR) << "atol = " << atol << " rtol = " << rtol 37 << " tol = " << atol + rtol * std::abs(Tx(i)); 44 void ExpectClose(const Tensor& x, const Tensor& y, double atol, double rtol) { argument 48 ExpectClose<float>(x, y, atol, rtol); 51 ExpectClose<double>(x, y, atol, rto [all...] |
/external/compiler-rt/test/asan/TestCases/ |
H A D | atol_strict.c | 1 // Test strict_string_checks option in atol function 21 long r = atol(array); 28 long r = atol(array + 9); 37 long r = atol(array);
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/external/toybox/toys/other/ |
H A D | usleep.c | 21 long delay = atol(*toys.optargs);
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/external/tensorflow/tensorflow/python/ops/distributions/ |
H A D | bijector_test_util.py | 149 inverse_forward_x_v, uniform_x_samps_v, atol=1e-5, rtol=1e-3) 151 forward_inverse_y_v, uniform_y_samps_v, atol=1e-5, rtol=1e-3) 154 upper_x - lower_x, change_measure_dy_dx_v, atol=0, rtol=rtol) 158 dy_dx_v, np.divide(1., dx_dy_v), atol=1e-5, rtol=1e-3) 161 def assert_bijective_and_finite(bijector, x, y, atol=0, rtol=1e-5, sess=None): 171 atol: Absolute tolerance. 217 np.testing.assert_allclose(x_from_x, x, atol=atol, rtol=rtol) 218 np.testing.assert_allclose(y_from_y, y, atol=atol, rto [all...] |
/external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
H A D | test_util.py | 44 rtol=1e-2, atol=0.): 74 atol: Python `float`-type indicating the admissible absolute error between 101 rtol=rtol, atol=atol) 106 rtol=1e-2, atol=0.): 125 atol: Python `float`-type indicating the admissible absolute error between 150 self.assertAllClose(mean_, sample_mean_, rtol=rtol, atol=atol) 151 self.assertAllClose(variance_, sample_variance_, rtol=rtol, atol=atol) [all...] |
H A D | deterministic.py | 48 atol=None, 56 The `atol` and `rtol` parameters allow for some slack in `pmf`, `cdf` 61 = 1, if Abs(x - loc) <= atol + rtol * Abs(loc), 68 atol: Non-negative `Tensor` of same `dtype` as `loc` and broadcastable 90 with ops.name_scope(name, values=[loc, atol, rtol]): 111 self._atol = self._get_tol(atol) 115 self._slack = self.atol 117 self._slack = self.atol + self.rtol * math_ops.abs(self.loc) 137 def atol(self): member in class:_BaseDeterministic 208 atol [all...] |
/external/ltp/testcases/kernel/fs/mongo/ |
H A D | summ.c | 20 n = atol(str);
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H A D | reiser_fract_tree.c | 478 bytes_to_consume = atol(argv[1]); 479 max_file_size = atol(argv[3]); 480 median_file_size = atol(argv[2]); 489 stats = atol(argv[10]); 490 median_dir_branching = atol(argv[6]); 491 max_dir_branching = atol(argv[7]); 492 median_dir_nr_files = atol(argv[4]); 493 max_dir_nr_files = atol(argv[5]);
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/external/tensorflow/tensorflow/contrib/boosted_trees/python/utils/ |
H A 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)
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/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/bijectors/ |
H A D | sigmoid_test.py | 39 self.assertAllClose(y, Sigmoid().forward(x).eval(), atol=0., rtol=1e-2) 40 self.assertAllClose(x, Sigmoid().inverse(y).eval(), atol=0., rtol=1e-4) 42 atol=0., rtol=1e-6) 44 atol=0., rtol=1e-4) 55 assert_bijective_and_finite(Sigmoid(), x, y, atol=0., rtol=1e-4)
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H A D | 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) 84 assert_bijective_and_finite(bijector, x, y, rtol=1e-6, atol=0)
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H A D | reshape_test.py | 72 self.assertAllClose(expected_y, y_, rtol=1e-6, atol=0) 73 self.assertAllClose(expected_x, x_, rtol=1e-6, atol=0) 74 self.assertAllClose(0., fldj_, rtol=1e-6, atol=0) 75 self.assertAllClose(0., ildj_, rtol=1e-6, atol=0) 123 self.assertAllClose(expected_y, y_, rtol=1e-6, atol=0) 124 self.assertAllClose(expected_x, x_, rtol=1e-6, atol=0) 125 self.assertAllClose(expected_y_scalar, y_scalar_, rtol=1e-6, atol=0) 126 self.assertAllClose(expected_x_scalar, x_scalar_, rtol=1e-6, atol=0) 227 self.assertAllClose(expected_y, y_, rtol=1e-6, atol=0) 228 self.assertAllClose(expected_x, x_, rtol=1e-6, atol [all...] |
/external/tensorflow/tensorflow/python/kernel_tests/ |
H A D | linalg_ops_test.py | 54 for np_type, atol in [(np.float32, 0.05), (np.float64, 1e-5)]: 65 rhs, math_ops.matmul(array, x).eval(), atol=atol) 75 for np_dtype, atol in [(np.float32, 0.05), (np.float64, 1e-5), 85 self.assertAllClose(logdet_np, logdet_tf.eval(), atol=atol) 88 for np_dtype, atol in [(np.float32, 0.05), (np.float64, 1e-5), 94 self.assertAllClose(logdet_np, logdet_tf.eval(), atol=atol) 104 for np_dtype, atol i [all...] |
H A D | cross_grad_test.py | 40 self.assertAllClose(jacob_u[0], jacob_u[1], rtol=1e-3, atol=1e-3) 41 self.assertAllClose(jacob_v[0], jacob_v[1], rtol=1e-3, atol=1e-3)
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H A D | dct_ops_test.py | 64 def _compare(self, signals, norm, atol=5e-4, rtol=5e-4): 68 self.assertAllClose(np_dct, tf_dct, atol=atol, rtol=rtol) 71 self.assertAllClose(scipy_dct, tf_dct, atol=atol, rtol=rtol)
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/external/libmtp/examples/ |
H A D | newfolder.c | 45 newid = LIBMTP_Create_Folder(device, argv[1], atol(argv[2]), atol(argv[3]));
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/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
H A 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 [all...] |
/external/tensorflow/tensorflow/compiler/tests/ |
H A D | cholesky_op_test.py | 37 def _verifyCholeskyBase(self, sess, placeholder, x, chol, verification, atol): 39 self.assertAllClose(x, verification_np, atol=atol) 47 self.assertAllClose(chol_matrix, np.tril(chol_matrix), atol=atol) 50 def _verifyCholesky(self, x, atol=1e-6): 58 self._verifyCholeskyBase(sess, placeholder, x, chol, verification, atol) 79 self._verifyCholesky(matrices, atol=1e-4) 105 self._verifyCholesky(data, atol=1e-4) 122 self._verifyCholesky(matrix, atol [all...] |
H A D | matrix_triangular_solve_op_test.py | 42 atol): 45 self.assertAllClose(b, verification_np, atol=atol) 47 def _VerifyTriangularSolve(self, a, b, lower, adjoint, atol): 59 verification, atol) 61 def _VerifyTriangularSolveCombo(self, a, b, atol=1e-4): 65 a if lower else transp(a), b, lower, adjoint, atol) 98 a.astype(dtype), b.astype(dtype), atol=1e-3)
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/external/tensorflow/tensorflow/contrib/linear_optimizer/python/kernel_tests/ |
H A D | sdca_ops_test.py | 231 self.assertAllClose(0.411608, unregularized_loss.eval(), atol=0.05) 232 self.assertAllClose(0.525457, loss.eval(), atol=0.01) 236 0.01, lr.approximate_duality_gap().eval(), rtol=1e-2, atol=1e-2) 294 self.assertAllClose(0.411608, unregularized_loss.eval(), atol=0.05) 295 self.assertAllClose(0.525457, loss.eval(), atol=0.01) 339 self.assertAllClose(0.40244, unregularized_loss.eval(), atol=0.01) 340 self.assertAllClose(0.40244, loss.eval(), atol=0.01) 344 0.01, lr.approximate_duality_gap().eval(), rtol=1e-2, atol=1e-2) 393 self.assertAllClose(0.411608, unregularized_loss.eval(), atol=0.05) 394 self.assertAllClose(0.525457, loss.eval(), atol [all...] |
/external/strace/tests/ |
H A D | qual_inject-retval.c | 59 if (atol(argv[1]) != rval)
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/external/strace/tests-m32/ |
H A D | qual_inject-retval.c | 59 if (atol(argv[1]) != rval)
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/external/strace/tests-mx32/ |
H A D | qual_inject-retval.c | 59 if (atol(argv[1]) != rval)
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/external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
H A D | special_math_test.py | 69 ErrorSpec = collections.namedtuple("ErrorSpec", ["rtol", "atol"]) 92 self.assertAllClose(expected_x, x.eval(), atol=0.) 107 self.assertAllClose(expected_x_, x_, atol=0.) 137 _error32 = ErrorSpec(rtol=1e-4, atol=0.) 138 _error64 = ErrorSpec(rtol=1e-6, atol=0.) 171 atol=error_spec.atol) 198 atol=error_spec.atol) 211 _error32 = ErrorSpec(rtol=1e-4, atol [all...] |