| /external/skia/resources/sksl/intrinsics/ |
| D | Tanh.sksl | 6 return (tanh(input.x) == expected.x &&
7 tanh(input.xy) == expected.xy &&
8 tanh(input.xyz) == expected.xyz &&
9 tanh(input.xyzw) == expected.xyzw &&
10 tanh(constVal.x) == expected.x &&
11 tanh(constVal.xy) == expected.xy &&
12 tanh(constVal.xyz) == expected.xyz &&
13 tanh(constVal.xyzw) == expected.xyzw) ? colorGreen : colorRed;
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| /external/skia/tests/sksl/intrinsics/ |
| D | Tanh.glsl | 8 …return ((((((tanh(input.x) == expected.x && tanh(input.xy) == expected.xy) && tanh(input.xyz) == e…
|
| D | Tanh.metal | 19 …tanh(_uniforms.input.x) == _uniforms.expected.x && all(tanh(_uniforms.input.xy) == _uniforms.expec…
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| /external/tensorflow/tensorflow/core/api_def/python_api/ |
| D | api_def_Tanh.pbtxt | 4 name: "math.tanh"
7 name: "nn.tanh"
10 name: "tanh"
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| /external/python/cpython3/Lib/test/ |
| D | cmath_testcases.txt | 1580 -- For exp, cosh, sinh, tanh we limit tests to arguments whose
1932 -- tanh: Hyperbolic Tangent --
1939 -- tanh0000 tanh 0.0 0.0 -> 0.0 0.0
1940 -- tanh0001 tanh 0.0 -0.0 -> 0.0 -0.0
1941 -- tanh0002 tanh -0.0 0.0 -> -0.0 0.0
1942 -- tanh0003 tanh -0.0 -0.0 -> -0.0 -0.0
1945 tanh0004 tanh -21.200500450664993 -1.6970729480342996 -> -1.0 1.9241352344849399e-19
1946 tanh0005 tanh -0.34158771504251928 -8.0848504951747131 -> -2.123711225855613 1.2827526782026006
1947 tanh0006 tanh -15.454144725193689 -0.23619582288265617 -> -0.99999999999993283 -3.4336684248260036e…
1948 tanh0007 tanh -7.6103163119661952 -0.7802748320307008 -> -0.99999999497219438 -4.9064845343755437e-…
[all …]
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| /external/llvm-project/mlir/test/Dialect/Standard/ |
| D | expand-tanh.mlir | 1 // RUN: mlir-opt %s -test-expand-tanh | FileCheck %s
3 // CHECK-LABEL: func @tanh
4 func @tanh(%arg: f32) -> f32 {
5 %res = tanh %arg : f32
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| /external/llvm-project/clang-tools-extra/test/clang-tidy/checkers/ |
| D | bugprone-integer-division.cpp | 28 long double tanh(long double);
110 tanh(f / g); in integerDivision()
124 tanh(c / g); in integerDivision()
129 tanh(3.14 / f / g); in integerDivision()
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | cwise_ops_unary_test.py | 209 self._compareBoth(x, np.tanh, math_ops.tanh)
238 self._compareBothSparse(x, np.tanh, math_ops.tanh)
245 self._compareBoth(x, np.tanh, math_ops.tanh)
247 self._compareBoth(x, np.tanh, math_ops.tanh)
267 self._compareBoth(x, np.tanh, math_ops.tanh)
291 self._compareBothSparse(x, np.tanh, math_ops.tanh)
317 self._compareBoth(x, np.tanh, math_ops.tanh)
345 self._compareBothSparse(x, np.tanh, math_ops.tanh)
366 self._compareBoth(x, np.tanh, math_ops.tanh)
380 self._compareBothSparse(x, np.tanh, math_ops.tanh)
[all …]
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| /external/tensorflow/tensorflow/lite/delegates/gpu/common/tasks/ |
| D | lstm_test_util.cc | 70 {static_cast<float>((1.0 / 6.0) * std::tanh(7.0 / 15.0)), in LstmTest()
71 static_cast<float>((1.0 / 6.0) * std::tanh(10.0 / 15.0)), in LstmTest()
72 static_cast<float>((1.0 / 6.0) * std::tanh(13.0 / 15.0)), in LstmTest()
73 static_cast<float>((1.0 / 6.0) * std::tanh(16.0 / 15.0))}, in LstmTest()
|
| /external/python/cpython2/Lib/test/ |
| D | cmath_testcases.txt | 1555 -- For exp, cosh, sinh, tanh we limit tests to arguments whose
1858 -- tanh: Hyperbolic Tangent --
1862 tanh0000 tanh 0.0 0.0 -> 0.0 0.0
1863 tanh0001 tanh 0.0 -0.0 -> 0.0 -0.0
1864 tanh0002 tanh -0.0 0.0 -> -0.0 0.0
1865 tanh0003 tanh -0.0 -0.0 -> -0.0 -0.0
1868 tanh0004 tanh -21.200500450664993 -1.6970729480342996 -> -1.0 1.9241352344849399e-19
1869 tanh0005 tanh -0.34158771504251928 -8.0848504951747131 -> -2.123711225855613 1.2827526782026006
1870 tanh0006 tanh -15.454144725193689 -0.23619582288265617 -> -0.99999999999993283 -3.4336684248260036e…
1871 tanh0007 tanh -7.6103163119661952 -0.7802748320307008 -> -0.99999999497219438 -4.9064845343755437e-…
[all …]
|
| /external/eigen/unsupported/test/ |
| D | autodiff_scalar.cpp | 43 using std::tanh; in check_hyperbolic_functions()
50 AD res1 = tanh(val); in check_hyperbolic_functions()
51 VERIFY_IS_APPROX(res1.value(), std::tanh(p.x())); in check_hyperbolic_functions()
65 res1 = tanh(val); in check_hyperbolic_functions()
|
| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| D | tanh.h | 35 float result = std::tanh(val); in Tanh()
70 F0 output = gemmlowp::tanh(input); in Tanh()
77 F0 output = gemmlowp::tanh(input); in Tanh()
109 const FixedPoint0 output_val_f0 = gemmlowp::tanh(input_val_f4); in Tanh()
|
| /external/tensorflow/tensorflow/compiler/mlir/tools/kernel_gen/tests/ |
| D | tanh.mlir | 7 // Test whether all shape computations required for tanh can be lowered to
12 // CHECK-LABEL: @tanh
13 func @tanh(%arg0: tensor<*xf32>) -> tensor<*xf32> {
|
| /external/webrtc/modules/audio_processing/ns/ |
| D | speech_probability_estimator.cc | 56 0.5f * (tanh(width_prior * (model.lrt - prior_model.lrt)) + 1.f); in Update()
65 0.5f * (tanh(1.f * width_prior * in Update()
77 0.5f * (tanh(width_prior * (model.spectral_diff - in Update()
|
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_LSTMBlockCell.pbtxt | 61 The cell state before the tanh.
85 The cell after the tanh.
129 ci = tanh(ci)
135 co = tanh(cs)
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| D | api_def_TanhGrad.pbtxt | 4 summary: "Computes the gradient for the tanh of `x` wrt its input."
6 Specifically, `grad = dy * (1 - y*y)`, where `y = tanh(x)`, and `dy`
|
| /external/llvm-project/libclc/generic/lib/math/ |
| D | tanh.cl | 28 _CLC_OVERLOAD _CLC_DEF float tanh(float x)
30 // The definition of tanh(x) is sinh(x)/cosh(x), which is also equivalent
75 _CLC_UNARY_VECTORIZE(_CLC_OVERLOAD _CLC_DEF, float, tanh, float);
81 _CLC_OVERLOAD _CLC_DEF double tanh(double x)
83 // The definition of tanh(x) is sinh(x)/cosh(x), which is also equivalent
144 _CLC_UNARY_VECTORIZE(_CLC_OVERLOAD _CLC_DEF, double, tanh, double);
|
| /external/tensorflow/tensorflow/core/kernels/ |
| D | cwise_op_tanh.cc | 20 REGISTER6(UnaryOp, CPU, "Tanh", functor::tanh, float, Eigen::half, bfloat16,
25 REGISTER3(UnaryOp, GPU, "Tanh", functor::tanh, float, Eigen::half, double);
|
| D | logistic-loss.h | 43 return 0.5 * (1 + tanh(x)) / label; in ComputeUpdatedDual()
120 const double tanhx = tanh(x); in NewtonStep()
|
| /external/llvm-project/mlir/test/Analysis/ |
| D | test-shape-fn-report.mlir | 4 func @tanh(%arg: tensor<10x20xf32>) -> tensor<10x20xf32>
7 %0 = tanh %arg : tensor<10x20xf32>
|
| /external/tensorflow/tensorflow/compiler/tests/ |
| D | unary_ops_composition_test.cc | 127 RunComposedOp<float>({"Tanh", "Relu"}, 0.5, std::max(0.0f, std::tanh(0.5f))); in TEST_F()
131 RunComposedOp<double>({"Tanh", "Relu"}, 0.5, std::max(0.0, std::tanh(0.5))); in TEST_F()
|
| /external/rust/crates/num-traits/src/ |
| D | real.rs | 736 fn tanh(self) -> Self; in tanh() method
829 Float::tanh(self) -> Self;
|
| /external/tensorflow/tensorflow/compiler/mlir/hlo/tests/ |
| D | legalize-trigonometric-to-approximation.mlir | 4 %res = math.tanh %arg0 : f64
9 // CHECK: tanh
14 %res = math.tanh %arg0 : f32
69 %res = math.tanh %arg0 : f16
|
| /external/clang/lib/Headers/ |
| D | __clang_cuda_math_forward_declares.h | 179 __DEVICE__ double tanh(double);
180 __DEVICE__ float tanh(float);
256 using ::tanh;
|
| /external/llvm-project/clang/lib/Headers/ |
| D | __clang_cuda_math_forward_declares.h | 173 __DEVICE__ double tanh(double);
174 __DEVICE__ float tanh(float);
266 using ::tanh;
|