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/external/python/cpython3/Lib/test/
Dmath_testcases.txt374 -- log1p: log(1 + x), without precision loss for small x --
378 log1p0000 log1p 0.0 -> 0.0
379 log1p0001 log1p -0.0 -> -0.0
380 log1p0002 log1p inf -> inf
381 log1p0003 log1p -inf -> nan invalid
382 log1p0004 log1p nan -> nan
385 log1p0010 log1p -1.0 -> -inf divide-by-zero
386 log1p0011 log1p -0.9999999999999999 -> -36.736800569677101
389 log1p0020 log1p -1.0000000000000002 -> nan invalid
390 log1p0021 log1p -1.1 -> nan invalid
[all …]
/external/tensorflow/tensorflow/core/kernels/
Dcwise_op_log1p.cc19 REGISTER5(UnaryOp, CPU, "Log1p", functor::log1p, float, Eigen::half, double,
23 REGISTER3(UnaryOp, GPU, "Log1p", functor::log1p, float, Eigen::half, double);
27 REGISTER2(UnaryOp, SYCL, "Log1p", functor::log1p, float, double);
Dlogistic-loss.h72 return log1p(exp(-y_wx)) * example_weight; in ComputePrimalLoss()
77 return (log1p(exp(y_wx)) - y_wx) * example_weight; in ComputePrimalLoss()
Dcwise_op_gpu_log1p.cu.cc22 DEFINE_UNARY3(log1p, Eigen::half, float, double);
Dunary_ops_composition.cc275 REGISTER_COMPUTE_FN_HELPER(Log1p, functor::log1p<T>);
333 REGISTER_COMPUTE_FN_HELPER(Log1p, functor::log1p<T>);
404 REGISTER_COMPUTE_FN_HELPER(Log1p, functor::log1p<T>);
Drange_sampler.cc72 return -expm1(num_tries * log1p(-p)); in ExpectedCountHelper()
157 : RangeSampler(range), log_range_(log1p(range)) {} in LogUniformSampler()
/external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/
Dkumaraswamy.py106 math_ops.log1p(-math_ops.exp(math_ops.log1p(-x) / self.concentration0))
111 return math_ops.exp(math_ops.log1p(
119 (self.concentration0 - 1) * math_ops.log1p(-y**self.concentration1))
Dweibull.py118 return self.scale * (-math_ops.log1p(-y)) ** (1 / self.concentration)
123 -math_ops.log1p(-y) +
124 (1 / self.concentration - 1) * math_ops.log(-math_ops.log1p(-y)) +
Dsigmoid.py53 return math_ops.log(y) - math_ops.log1p(-y)
56 return -math_ops.log(y) - math_ops.log1p(-y)
Dsoftsign.py77 return -2. * math_ops.log1p(math_ops.abs(x))
81 return -2. * math_ops.log1p(-math_ops.abs(y))
Dpower_transform.py94 return math_ops.exp(math_ops.log1p(x * self.power) / self.power)
112 return (1. / self.power - 1.) * math_ops.log1p(x * self.power)
/external/tensorflow/tensorflow/core/api_def/python_api/
Dapi_def_Log1p.pbtxt4 name: "math.log1p"
7 name: "log1p"
/external/tensorflow/tensorflow/contrib/distributions/python/ops/
Dgeometric.py153 math_ops.log(sampled) / math_ops.log1p(-self.probs))
166 -math_ops.expm1((1. + x) * math_ops.log1p(-self.probs)))
180 return x * math_ops.log1p(-safe_domain) + math_ops.log(probs)
Dcauchy.py191 return math_ops.log1p(2 / np.pi * math_ops.atan(self._z(x))) - np.log(2)
194 return -math_ops.log1p(math_ops.square(self._z(x)))
/external/tensorflow/tensorflow/python/kernel_tests/
Dcwise_ops_unary_test.py206 self._compareBoth(z, np.log1p, math_ops.log1p)
263 self._compareBoth(x, np.log1p, math_ops.log1p)
314 self._compareBoth(z, np.log1p, math_ops.log1p)
365 self._compareBoth(z, np.log1p, math_ops.log1p)
438 self._compareCpu(y, np.log1p, math_ops.log1p)
483 self._compareCpu(y, np.log1p, math_ops.log1p)
/external/eigen/Eigen/src/Core/arch/CUDA/
DMathFunctions.h43 return make_double2(log1p(a.x), log1p(a.y));
/external/eigen/test/
Dhalf_float.cpp205 VERIFY_IS_EQUAL(float(numext::log1p(half(0.0f))), 0.0f); in test_basic_functions()
206 VERIFY_IS_EQUAL(float(log1p(half(0.0f))), 0.0f); in test_basic_functions()
207 VERIFY_IS_APPROX(float(numext::log1p(half(10.0f))), 2.3978953f); in test_basic_functions()
208 VERIFY_IS_APPROX(float(log1p(half(10.0f))), 2.3978953f); in test_basic_functions()
/external/clang/lib/Headers/
D__clang_cuda_math_forward_declares.h131 __DEVICE__ double log1p(double);
132 __DEVICE__ float log1p(float);
233 using ::log1p;
/external/eigen/Eigen/src/Core/
DMathFunctions.h493 EIGEN_DEVICE_FUNC inline Scalar log1p(const Scalar& x) {
508 using std::log1p;
510 using std_fallback::log1p;
511 return log1p(x);
952 inline EIGEN_MATHFUNC_RETVAL(log1p, Scalar) log1p(const Scalar& x)
954 return EIGEN_MATHFUNC_IMPL(log1p, Scalar)::run(x);
959 float log1p(const float &x) { return ::log1pf(x); }
962 double log1p(const double &x) { return ::log1p(x); }
/external/python/cpython2/Lib/test/
Dtest_math.py607 self.assertRaises(TypeError, math.log1p)
608 self.ftest('log1p(1/e -1)', math.log1p(1/math.e-1), -1)
609 self.ftest('log1p(0)', math.log1p(0), 0)
610 self.ftest('log1p(e-1)', math.log1p(math.e-1), 1)
611 self.ftest('log1p(1)', math.log1p(1), math.log(2))
612 self.assertEqual(math.log1p(INF), INF)
613 self.assertRaises(ValueError, math.log1p, NINF)
614 self.assertTrue(math.isnan(math.log1p(NAN)))
616 self.assertAlmostEqual(math.log1p(n), 62.383246250395075)
617 self.assertAlmostEqual(math.log1p(n), math.log1p(float(n)))
/external/v8/src/base/
Dieee754.h49 V8_BASE_EXPORT double log1p(double x);
/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/bijectors/
Dsigmoid_test.py38 ildj = -np.log(y) - np.log1p(-y)
Dkumaraswamy_bijector_test.py45 (b - 1) * np.log1p(-x ** a))
/external/python/cpython2/Modules/
D_math.c206 return log1p(x); in _Py_log1p()
/external/python/cpython3/Modules/
D_math.c224 return log1p(x); in _Py_log1p()

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