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tensorflow/compiler/mlir/lite/stablehlo/odml_converter/tests/shlo_simplify.mlir
%2 = stablehlo.divide %arg0, %0 : tensor<2xf32> return %2 : tensor<2xf32> } // CHECK-LABEL: divideToMulReciprocalSplat // CHECK: stablehlo.constant dense<5.000000e-01> : tensor<2xf32> // CHECK: stablehlo.multiply // ----- func.func @divideToMulReciprocal(%arg0: tensor<2xf32>) -> tensor<2xf32> { %0 = stablehlo.constant dense<[2.0, 3.0]> : tensor<2xf32> %2 = stablehlo.divide %arg0, %0 : tensor<2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 03:05:20 UTC 2024 - 2.8K bytes - Viewed (0) -
src/cmd/vendor/github.com/google/pprof/third_party/svgpan/svgpan.js
// Compute new scale matrix in current mouse position var k = root.createSVGMatrix().translate(p.x, p.y).scale(z).translate(-p.x, -p.y); setCTM(g, g.getCTM().multiply(k)); if(typeof(stateTf) == "undefined") stateTf = g.getCTM().inverse(); stateTf = stateTf.multiply(k.inverse()); } /** * Handle mouse move event. */ function handleMouseMove(evt) { if(evt.preventDefault) evt.preventDefault();
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Feb 16 15:19:53 UTC 2024 - 7K bytes - Viewed (0) -
testing/internal-performance-testing/src/main/groovy/org/gradle/performance/measure/Units.java
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Apr 04 07:21:38 UTC 2024 - 6.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_op_interfaces.td
def TFL_ArithmeticCount : OpInterface<"TflArithmeticCountOpInterface"> { let description = [{ Interface for TFLite ops to calculate arithmetic count (Multiply-Add Count). }]; let methods = [ StaticInterfaceMethod< [{Returns an integer representing the op's arithmetic count (Multiply-Add Count), return -1 if the arithmetic count cannot be determined.}], "int64_t", "GetArithmeticCount", (ins "Operation*":$op) >,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 4.3K bytes - Viewed (0) -
internal/grid/benchmark_test.go
} atomic.AddInt64(&ops, int64(n)) atomic.AddInt64(&lat, latency) }) spent := time.Since(t) if spent > 0 && n > 0 { // Since we are benchmarking n parallel servers we need to multiply by n. // This will give an estimate of the total ops/s. latency := float64(atomic.LoadInt64(&lat)) / float64(time.Millisecond) b.ReportMetric(float64(n)*float64(ops)/spent.Seconds(), "vops/s")
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Fri Jun 07 15:51:52 UTC 2024 - 15.7K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/magic.go
// ⎡x / c⎤ = ⎣x * m / 2^(n+s)⎦ + 1 // (TODO: derivation?) // // The multiply is a bit odd, as it is a signed n-bit value // times an unsigned n-bit value. For n smaller than the // word size, we can extend x and m appropriately and use the // signed multiply instruction. For n == word size, // we must use the signed multiply high and correct // the result by adding x*2^n. //
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Mar 26 19:58:25 UTC 2024 - 15.8K bytes - Viewed (0) -
src/math/rand/v2/pcg.go
// This does not seem worthwhile, at least for Go: not having any high // bits in the multiplier reduces the effect of low bits on the highest bits, // and it only saves 1 multiply out of 3. // (On 32-bit systems, it saves 1 out of 6, since Mul64 is doing 4.) const ( mulHi = 2549297995355413924 mulLo = 4865540595714422341 incHi = 6364136223846793005 incLo = 1442695040888963407 )
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 13 21:31:58 UTC 2024 - 2.9K bytes - Viewed (0) -
src/vendor/golang.org/x/crypto/internal/poly1305/sum_ppc64le.s
MOVD 16(R3), R10 // h2 MOVD 24(R3), R11 // r0 MOVD 32(R3), R12 // r1 CMP R5, $16 BLT bytes_between_0_and_15 loop: POLY1305_ADD(R4, R8, R9, R10, R20, R21, R22) PCALIGN $16 multiply: POLY1305_MUL(R8, R9, R10, R11, R12, R16, R17, R18, R14, R20, R21) ADD $-16, R5 CMP R5, $16 BGE loop bytes_between_0_and_15: CMP R5, $0 BEQ done MOVD $0, R16 // h0 MOVD $0, R17 // h1
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Sat Mar 09 00:09:40 UTC 2024 - 3.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
%16 = stablehlo.subtract %10, %15 : tensor<1x3x3x4xf32> %17 = stablehlo.broadcast_in_dim %4, dims = [0, 1, 2, 3] : (tensor<1x1x1x4xf32>) -> tensor<1x3x3x4xf32> %18 = stablehlo.multiply %16, %17 : tensor<1x3x3x4xf32> %19 = call @uniform_quantize_1(%18, %5, %6) : (tensor<1x3x3x4xf32>, tensor<1x1x1x1xf32>, tensor<1x1x1x1xi8>) -> tensor<1x3x3x4xi8>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 37K bytes - Viewed (0) -
src/cmd/compile/internal/test/pgo_devirtualize_test.go
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Feb 15 21:30:35 UTC 2024 - 8.5K bytes - Viewed (0)