- Sort Score
- Result 10 results
- Languages All
Results 41 - 50 of 71 for sqrt1 (0.61 sec)
-
tensorflow/compiler/mlir/quantization/tensorflow/passes/prepare_lifting.td
// operations. Specifically, performs the following calculation: // // (x - mean) * scale / sqrt(variance + epsilon) + offset // // Let multiplier = scale / sqrt(variance + epsilon), // to compute // (x - mean) * scale / sqrt(variance + epsilon) + offset, // is then to compute // (x * multiplier) + (offset - mean * multiplier). //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 14 03:24:59 UTC 2024 - 8.4K bytes - Viewed (0) -
src/runtime/fastlog2_test.go
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Mar 01 23:34:33 UTC 2016 - 784 bytes - Viewed (0) -
test/fixedbugs/issue27961.go
return Vec2{v[0], v[0]} } func (v Vec2) B() Vec2 { return Vec2{1.0 / v.D(), 0} } func (v Vec2) C() Vec2 { return Vec2{v[0], v[0]} } func (v Vec2) D() float64 { return math.Sqrt(v[0])
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Oct 03 15:01:47 UTC 2018 - 596 bytes - Viewed (0) -
tensorflow/compiler/jit/tests/opens2s_gnmt_mixed_precision.golden_summary
Const 5 GreaterEqual 1 MatMul 1 Mul 5 Select 2 Sigmoid 3 Snapshot 1 Split 1 Tanh 2 cluster 29 size 9 Add 1 Mul 2 RealDiv 2 Sqrt 2 Sub 2 cluster 30 size 9 Add 1 Mul 2 RealDiv 2 Sqrt 2 Sub 2 cluster 31 size 4 Mul 3 UnsortedSegmentSum 1 cluster 32 size 4 Mul 3
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 06 10:38:14 UTC 2023 - 5K bytes - Viewed (0) -
src/math/asin.go
} func asin(x float64) float64 { if x == 0 { return x // special case } sign := false if x < 0 { x = -x sign = true } if x > 1 { return NaN() // special case } temp := Sqrt(1 - x*x) if x > 0.7 { temp = Pi/2 - satan(temp/x) } else { temp = satan(x / temp) } if sign { temp = -temp } return temp } // Acos returns the arccosine, in radians, of x. //
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Apr 11 16:34:30 UTC 2022 - 1.1K bytes - Viewed (0) -
src/math/pow.go
case IsInf(x, 0): if IsInf(x, -1) { return Pow(1/x, -y) // Pow(-0, -y) } switch { case y < 0: return 0 case y > 0: return Inf(1) } case y == 0.5: return Sqrt(x) case y == -0.5: return 1 / Sqrt(x) } yi, yf := Modf(Abs(y)) if yf != 0 && x < 0 { return NaN() } if yi >= 1<<63 { // yi is a large even int that will lead to overflow (or underflow to 0)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Jan 24 19:10:58 UTC 2023 - 3.6K bytes - Viewed (0) -
src/image/draw/example_test.go
const width = 130 const height = 50 im := image.NewGray(image.Rectangle{Max: image.Point{X: width, Y: height}}) for x := 0; x < width; x++ { for y := 0; y < height; y++ { dist := math.Sqrt(math.Pow(float64(x-width/2), 2)/3+math.Pow(float64(y-height/2), 2)) / (height / 1.5) * 255 var gray uint8 if dist > 255 { gray = 255 } else { gray = uint8(dist) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Jul 20 18:07:05 UTC 2023 - 1.1K bytes - Viewed (0) -
samples/helloworld/src/app.py
@app.route('/hello') def hello(): version = os.environ.get('SERVICE_VERSION') # do some cpu intensive computation x = 0.0001 for i in range(0, 1000000): x = x + math.sqrt(x) return 'Hello version: %s, instance: %s\n' % (version, os.environ.get('HOSTNAME')) @app.route('/health') def health(): return 'Helloworld is healthy', 200 if __name__ == "__main__":
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Tue Jun 20 13:44:21 UTC 2023 - 1.1K bytes - Viewed (0) -
src/math/hypot_amd64.s
MOVQ $~(1<<63), AX ANDQ AX, BX // p = |p| MOVQ q+8(FP), CX ANDQ AX, CX // q = |q| MOVQ $PosInf, AX CMPQ AX, BX JLE isInfOrNaN CMPQ AX, CX JLE isInfOrNaN // hypot = max * sqrt(1 + (min/max)**2) MOVQ BX, X0 MOVQ CX, X1 ORQ CX, BX JEQ isZero MOVAPD X0, X2 MAXSD X1, X0 MINSD X2, X1 DIVSD X0, X1 MULSD X1, X1 ADDSD $1.0, X1 SQRTSD X1, X1
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Apr 15 15:48:19 UTC 2021 - 1.1K bytes - Viewed (0) -
tensorflow/c/experimental/ops/update_cpp_ops.sh
ZerosLike \ Shape \ ExpandDims \ OnesLike ${generate} \ --category=math \ Mul \ Conj \ AddV2 \ MatMul \ Neg \ Sum \ Sub \ Div \ DivNoNan \ Exp \ Sqrt \ SqrtGrad \ Log1p ${generate} \ --category=nn \ SparseSoftmaxCrossEntropyWithLogits \ ReluGrad \ Relu \ BiasAdd \ BiasAddGrad ${generate} \ --category=resource_variable \
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 17 17:54:34 UTC 2022 - 1.6K bytes - Viewed (0)