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Results 1 - 10 of 18 for power8 (0.12 sec)

  1. src/cmd/go/alldocs.go

    //     (or mips64le.hardfloat and mips64le.softfloat) feature build tags.
    //   - For GOARCH=ppc64 or ppc64le,
    //     GOPPC64=power8, power9, and power10 correspond to the
    //     ppc64.power8, ppc64.power9, and ppc64.power10
    //     (or ppc64le.power8, ppc64le.power9, and ppc64le.power10)
    //     feature build tags.
    //   - For GOARCH=riscv64,
    //     GORISCV64=rva20u64 and rva22u64 correspond to the riscv64.rva20u64
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Tue Jun 11 16:54:28 UTC 2024
    - 142.4K bytes
    - Viewed (0)
  2. src/cmd/internal/obj/ppc64/asm9.go

    	case ATW:
    		return OPVCC(31, 4, 0, 0)
    	case ATD:
    		return OPVCC(31, 68, 0, 0)
    
    	/* Vector (VMX/Altivec) instructions */
    	/* ISA 2.03 enables these for PPC970. For POWERx processors, these */
    	/* are enabled starting at POWER6 (ISA 2.05). */
    	case AVAND:
    		return OPVX(4, 1028, 0, 0) /* vand - v2.03 */
    	case AVANDC:
    		return OPVX(4, 1092, 0, 0) /* vandc - v2.03 */
    	case AVNAND:
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Wed May 15 13:55:28 UTC 2024
    - 156.1K bytes
    - Viewed (0)
  3. src/compress/bzip2/testdata/Isaac.Newton-Opticks.txt.bz2

    distance of 12 or 18 Feet, so that I could not discern the Unevenness of the Surface of the Powder, nor the little Shadows let fall from the gritty Particles thereof; the Powder appeared intensely white, so as to transcend even the Paper it self in Whiteness, especially if the Paper were a little shaded from the Light of the Clouds, and then the Paper compared with the Powder appeared of such a grey Colour as the Powder had done before. But by laying the Paper where the Sun shines through the Glass of the...
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Sep 24 18:26:02 UTC 2018
    - 129.4K bytes
    - Viewed (0)
  4. src/cmd/compile/internal/ssa/_gen/generic.rules

    (Or(8|16|32|64) <t> (Com(8|16|32|64) x) (Com(8|16|32|64) y)) => (Com(8|16|32|64) (And(8|16|32|64) <t> x y))
    
    // Convert multiplication by a power of two to a shift.
    (Mul8  <t> n (Const8  [c])) && isPowerOfTwo8(c) => (Lsh8x64  <t> n (Const64 <typ.UInt64> [log8(c)]))
    (Mul16 <t> n (Const16 [c])) && isPowerOfTwo16(c) => (Lsh16x64 <t> n (Const64 <typ.UInt64> [log16(c)]))
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Thu May 16 22:21:05 UTC 2024
    - 135.3K bytes
    - Viewed (0)
  5. guava/src/com/google/common/cache/LocalCache.java

          if (oldCapacity >= MAXIMUM_CAPACITY) {
            return;
          }
    
          /*
           * Reclassify nodes in each list to new Map. Because we are using power-of-two expansion, the
           * elements from each bin must either stay at same index, or move with a power of two offset.
           * We eliminate unnecessary node creation by catching cases where old nodes can be reused
    Registered: Wed Jun 12 16:38:11 UTC 2024
    - Last Modified: Sat May 18 03:24:34 UTC 2024
    - 149.2K bytes
    - Viewed (0)
  6. android/guava/src/com/google/common/cache/LocalCache.java

          if (oldCapacity >= MAXIMUM_CAPACITY) {
            return;
          }
    
          /*
           * Reclassify nodes in each list to new Map. Because we are using power-of-two expansion, the
           * elements from each bin must either stay at same index, or move with a power of two offset.
           * We eliminate unnecessary node creation by catching cases where old nodes can be reused
    Registered: Wed Jun 12 16:38:11 UTC 2024
    - Last Modified: Sat May 18 03:24:34 UTC 2024
    - 143.6K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/lite/ir/tfl_ops.cc

      int64_t count;
      // As a very rough ballpark, the cost of evaluating a math function
      // such as tanh or logistic is about 32 multiplications, and about as
      // many additions/subtractions. (Just a power-of-two order-of-magnitude
      // from looking at actual implementations that we use in runtime/code).
      if (ArithmeticCountUtilHelper::GetFirstOutputCount(op, &count))
        return 64 * count;
    
      return -1;
    }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 169.2K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td

        "tf_device::TensorFlowDeviceDialect"
      ];
    
      let constructor = "TFDevice::CreateReplicateInvariantOpHoistingPass()";
    }
    
    def LowerQuantizedPass : Pass<"tf-lower-quantized", "mlir::func::FuncOp"> {
      let summary = "Lowers ops that require quantized input or output.";
    
      let description = [{
        This pass rewrites all ops that have at least one input or output that must
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 21:18:05 UTC 2024
    - 99.6K bytes
    - Viewed (0)
  9. src/cmd/internal/obj/arm64/asm7.go

    // reporting an error if alignedValue is not a power of two or is out of range.
    func pcAlignPadLength(ctxt *obj.Link, pc int64, alignedValue int64) int {
    	if !((alignedValue&(alignedValue-1) == 0) && 8 <= alignedValue && alignedValue <= 2048) {
    		ctxt.Diag("alignment value of an instruction must be a power of two and in the range [8, 2048], got %d\n", alignedValue)
    	}
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Wed May 15 15:44:14 UTC 2024
    - 201.1K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/lite/ir/tfl_ops.td

    }
    
    
    def TFL_PowOp : TFL_Op<"pow", [
        ResultsBroadcastableShape,
        Pure,
        TFL_OperandsHaveSameShapesOrBroadcastableShape<[0, 1], 4>]> {
      let summary = "Power operator";
    
      let description = [{
        Element-wise power operation.
      }];
    
      let arguments = (
        ins TFL_TensorOf<[F32, I32]>:$lhs,
        TFL_TensorOf<[F32, I32]>:$rhs);
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 186K bytes
    - Viewed (0)
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