Home
last modified time | relevance | path

Searched refs:logx (Results 1 – 8 of 8) sorted by relevance

/external/llvm-project/libc/AOR_v20.02/math/
Dv_powf.c170 double invc, logc, z, r, p, y0, logx, ylogx, kd, s; in V_NAME() local
188 logx = A[0]; in V_NAME()
189 logx = r * logx + A[1]; in V_NAME()
190 logx = r * logx + A[2]; in V_NAME()
191 logx = r * logx + A[3]; in V_NAME()
192 logx = r * logx + A[4]; in V_NAME()
193 logx = r * logx + y0; in V_NAME()
195 logx = A[0]; in V_NAME()
196 logx = r * logx + A[1]; in V_NAME()
197 logx = r * logx + A[2]; in V_NAME()
[all …]
Dpowf.c192 double_t logx = log2_inline (ix); in powf() local
193 double_t ylogx = y * logx; /* Note: cannot overflow, y is single prec. */ in powf()
/external/arm-optimized-routines/math/
Dv_powf.c169 double invc, logc, z, r, p, y0, logx, ylogx, kd, s; in V_NAME() local
187 logx = A[0]; in V_NAME()
188 logx = r * logx + A[1]; in V_NAME()
189 logx = r * logx + A[2]; in V_NAME()
190 logx = r * logx + A[3]; in V_NAME()
191 logx = r * logx + A[4]; in V_NAME()
192 logx = r * logx + y0; in V_NAME()
194 logx = A[0]; in V_NAME()
195 logx = r * logx + A[1]; in V_NAME()
196 logx = r * logx + A[2]; in V_NAME()
[all …]
Dpowf.c191 double_t logx = log2_inline (ix); in powf() local
192 double_t ylogx = y * logx; /* Note: cannot overflow, y is single prec. */ in powf()
/external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/
DFDistributionImpl.java92 final double logx = FastMath.log(x); in density() local
96 return FastMath.exp(nhalf*logn + nhalf*logx - logx + mhalf*logm - nhalf*lognxm - in density()
/external/tensorflow/tensorflow/python/kernel_tests/distributions/
Dutil_test.py812 def _reduce_weighted_logsumexp(self, logx, w, axis, keep_dims=False): argument
813 m = np.max(logx, axis=axis, keepdims=True)
814 sum_ = np.sum(w * np.exp(logx - m), axis=axis, keepdims=keep_dims)
826 logx = constant_op.constant(logx_)
827 expected = math_ops.reduce_logsumexp(logx, axis=-1)
828 grad_expected = gradients_impl.gradients(expected, logx)[0]
830 logx, axis=-1, return_sign=True)
831 grad_actual = gradients_impl.gradients(actual, logx)[0]
849 logx = constant_op.constant(logx_)
852 logx, w, axis=-1, return_sign=True)
[all …]
/external/tensorflow/tensorflow/python/ops/distributions/
Dutil.py1050 def reduce_weighted_logsumexp(logx, argument
1114 with ops.name_scope(name, "reduce_weighted_logsumexp", [logx, w]):
1115 logx = ops.convert_to_tensor(logx, name="logx")
1117 lswe = math_ops.reduce_logsumexp(logx, axis=axis, keepdims=keep_dims)
1122 w = ops.convert_to_tensor(w, dtype=logx.dtype, name="w")
1123 log_absw_x = logx + math_ops.log(math_ops.abs(w))
/external/OpenCL-CTS/test_conformance/math_brute_force/
Dreference_math.cpp5190 long double logx = (long double)logxHi + (long double)logxLo; in reference_logl() local
5191 return logx * lg2; in reference_logl()
5574 long double logx = (long double)logxHi + (long double)logxLo; in reference_log10l() local
5575 return logx * lg2; in reference_log10l()