| /external/eigen/doc/snippets/ |
| Cwise_tanh.cpp | 2 cout << tanh(v) << endl;
|
| /cts/tests/tests/renderscript/src/android/renderscript/cts/generated/ |
| TestTanh.rs | 24 return tanh(inV);
28 return tanh(inV);
32 return tanh(inV);
36 return tanh(inV);
40 return tanh(inV);
44 return tanh(inV);
48 return tanh(inV);
52 return tanh(inV);
|
| /external/tensorflow/tensorflow/core/kernels/ |
| cwise_op_tanh.cc | 20 REGISTER5(UnaryOp, CPU, "Tanh", functor::tanh, float, Eigen::half, double,
24 REGISTER3(UnaryOp, GPU, "Tanh", functor::tanh, float, Eigen::half, double);
28 REGISTER2(UnaryOp, SYCL, "Tanh", functor::tanh, float, double);
|
| cwise_op_gpu_tanh.cu.cc | 23 DEFINE_UNARY3(tanh, Eigen::half, float, double);
|
| logistic-loss.h | 43 return 0.5 * (1 + tanh(x)) / label;
120 const double tanhx = tanh(x);
|
| /external/ltp/testcases/misc/math/float/ |
| float_iperb.c | 33 {FUNC_NORMAL, 50, tanh, "tanh", "dtanh", "rtanh",
|
| /external/ltp/testcases/misc/math/float/iperb/ |
| Makefile | 28 [rd]tanh *.ref*
|
| /external/ltp/testcases/misc/math/float/trigo/ |
| Makefile | 28 [rd]tanh
|
| /prebuilts/go/darwin-x86/src/math/ |
| sinh_stub.s | 15 TEXT ·Tanh(SB),NOSPLIT,$0
16 JMP ·tanh(SB)
|
| tanh.go | 11 // tanh.c
17 // double x, y, tanh();
19 // y = tanh( x );
30 // tanh(x) = sinh(x)/cosh(x) = 1 - 2/(exp(2x) + 1).
68 // Tanh returns the hyperbolic tangent of x.
71 // Tanh(±0) = ±0
72 // Tanh(±Inf) = ±1
73 // Tanh(NaN) = NaN
74 func Tanh(x float64) float64
76 func tanh(x float64) float64 func
[all...] |
| /prebuilts/go/linux-x86/src/math/ |
| sinh_stub.s | 15 TEXT ·Tanh(SB),NOSPLIT,$0
16 JMP ·tanh(SB)
|
| tanh.go | 11 // tanh.c
17 // double x, y, tanh();
19 // y = tanh( x );
30 // tanh(x) = sinh(x)/cosh(x) = 1 - 2/(exp(2x) + 1).
68 // Tanh returns the hyperbolic tangent of x.
71 // Tanh(±0) = ±0
72 // Tanh(±Inf) = ±1
73 // Tanh(NaN) = NaN
74 func Tanh(x float64) float64
76 func tanh(x float64) float64 func
[all...] |
| /bionic/libm/upstream-freebsd/lib/msun/src/ |
| s_tanh.c | 16 /* Tanh(x)
22 * 0. tanh(x) is defined to be -----------
25 * 1. reduce x to non-negative by tanh(-x) = -tanh(x).
26 * 2. 0 <= x < 2**-28 : tanh(x) := x with inexact if x != 0
28 * 2**-28 <= x < 1 : tanh(x) := -----; t = expm1(-2x)
31 * 1 <= x < 22 : tanh(x) := 1 - -----; t = expm1(2x)
33 * 22 <= x <= INF : tanh(x) := 1.
36 * tanh(NaN) is NaN;
37 * only tanh(0)=0 is exact for finite argument
49 tanh(double x) function
[all...] |
| /toolchain/binutils/binutils-2.27/gas/testsuite/gas/tic54x/ |
| math.s | 34 .float $tanh(0.0)
|
| /external/eigen/unsupported/test/ |
| autodiff_scalar.cpp | 43 using std::tanh;
50 AD res1 = tanh(val);
51 VERIFY_IS_APPROX(res1.value(), std::tanh(p.x()));
65 res1 = tanh(val);
|
| cxx11_tensor_math.cpp | 22 Tensor<float, 1> vec2 = vec1.tanh();
|
| /external/tensorflow/tensorflow/contrib/lite/kernels/ |
| activation_functor.h | 43 return std::tanh(a);
|
| /frameworks/ml/nn/common/include/ |
| ActivationFunctor.h | 48 return std::tanh(a);
|
| /prebuilts/misc/common/swig/include/2.0.11/ |
| math.i | 39 extern double tanh(double x);
|
| /prebuilts/ndk/r16/sources/cxx-stl/system/include/ |
| cmath | 55 using ::tanh;
|
| /device/linaro/bootloader/edk2/StdLib/LibC/Math/ |
| s_tanh.c | 18 /* Tanh(x)
24 * 0. tanh(x) is defined to be -----------
27 * 1. reduce x to non-negative by tanh(-x) = -tanh(x).
28 * 2. 0 <= x <= 2**-55 : tanh(x) := x*(one+x)
30 * 2**-55 < x <= 1 : tanh(x) := -----; t = expm1(-2x)
33 * 1 <= x <= 22.0 : tanh(x) := 1- ----- ; t=expm1(2x)
35 * 22.0 < x <= INF : tanh(x) := 1.
38 * tanh(NaN) is NaN;
39 * only tanh(0)=0 is exact for finite argument.
48 tanh(double x) function
[all...] |
| /external/libcxx/test/std/numerics/numarray/valarray.nonmembers/valarray.transcend/ |
| tanh_valarray.pass.cpp | 16 // tanh(const valarray<T>& x);
47 std::valarray<T> v3 = tanh(v1);
|
| /external/v8/src/base/ |
| ieee754.h | 76 V8_BASE_EXPORT double tanh(double x);
|
| /prebuilts/ndk/r16/sources/cxx-stl/llvm-libc++/test/std/numerics/numarray/valarray.nonmembers/valarray.transcend/ |
| tanh_valarray.pass.cpp | 16 // tanh(const valarray<T>& x);
47 std::valarray<T> v3 = tanh(v1);
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| activations.py | 95 @tf_export('keras.activations.tanh')
96 def tanh(x): function
97 return K.tanh(x)
|
