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Results 1 - 3 of 3 for acoshSC (0.24 sec)

  1. src/math/all_test.go

    	for i := 0; i < len(vf); i++ {
    		a := 1 + Abs(vf[i])
    		if f := Acosh(a); !veryclose(acosh[i], f) {
    			t.Errorf("Acosh(%g) = %g, want %g", a, f, acosh[i])
    		}
    	}
    	for i := 0; i < len(vfacoshSC); i++ {
    		if f := Acosh(vfacoshSC[i]); !alike(acoshSC[i], f) {
    			t.Errorf("Acosh(%g) = %g, want %g", vfacoshSC[i], f, acoshSC[i])
    		}
    	}
    }
    
    func TestAsin(t *testing.T) {
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Fri Jul 07 17:39:26 UTC 2023
    - 86.8K bytes
    - Viewed (0)
  2. tensorflow/cc/gradients/math_grad.cc

                     std::vector<Output>* grad_outputs) {
      // y = acosh(x)
      // dy/dx = 1 / sinh(y)
      auto dydx = Reciprocal(scope, Sinh(scope, op.output(0)));
      // grad(x) = grad(y) * conj(dy/dx)
      grad_outputs->push_back(
          Mul(scope, grad_inputs[0], ConjugateHelper(scope, dydx)));
      return scope.status();
    }
    REGISTER_GRADIENT_OP("Acosh", AcoshGrad);
    
    Status AtanhGrad(const Scope& scope, const Operation& op,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Aug 25 18:20:20 UTC 2023
    - 50.7K bytes
    - Viewed (0)
  3. tensorflow/compiler/jit/mark_for_compilation_pass.cc

      static absl::flat_hash_map<string, std::vector<string>>* result =
          new absl::flat_hash_map<string, std::vector<string>>{
              // Unary
              {"PW",
               {"ComplexAbs", "Angle", "Conj", "Abs", "Acos", "Acosh", "Asin",
                "Atan", "Atanh", "Ceil", "Cos", "Cosh", "Sin", "Exp", "Expm1",
                "Floor", "IsFinite", "IsInf", "IsNan", "Inv", "Reciprocal", "Log",
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 21 12:19:41 UTC 2024
    - 85.3K bytes
    - Viewed (0)
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