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Results 1 - 4 of 4 for xds_type (0.18 sec)

  1. pilot/pkg/networking/core/listener_test.go

    				Sampling:         0,
    			},
    			out: &hcm.HttpConnectionManager_Tracing{
    				MaxPathTagLength: nil,
    				ClientSampling: &xdstype.Percent{
    					Value: 100.0,
    				},
    				RandomSampling: &xdstype.Percent{
    					Value: 80.0,
    				},
    				OverallSampling: &xdstype.Percent{
    					Value: 100.0,
    				},
    				CustomTags: customTracingTags(),
    			},
    		},
    		{
    Registered: Fri Jun 14 15:00:06 UTC 2024
    - Last Modified: Thu Jun 13 01:56:28 UTC 2024
    - 93.6K bytes
    - Viewed (0)
  2. pilot/pkg/networking/core/route/route.go

    	return &xdstype.FractionalPercent{
    		Numerator:   uint32(p.Value * 10000),
    		Denominator: xdstype.FractionalPercent_MILLION,
    	}
    }
    
    // translateIntegerToFractionalPercent translates an int32 instance to an
    // envoy.type.FractionalPercent instance.
    func translateIntegerToFractionalPercent(p int32) *xdstype.FractionalPercent {
    Registered: Fri Jun 14 15:00:06 UTC 2024
    - Last Modified: Tue May 14 14:12:39 UTC 2024
    - 56.1K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.cc

        Location loc = op.getLoc();
        auto x_type = mlir::dyn_cast<RankedTensorType>(op.getX().getType());
        // x input must have static shape.
        if (!x_type || !x_type.hasStaticShape()) {
          return failure();
        }
        Type int_type = x_type.getElementType();  // Could be i32 or i64.
    
        auto result_type = x_type;
        auto start = rewriter.create<ConstOp>(loc, GetScalarOfType(int_type, 0));
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 74.9K bytes
    - Viewed (0)
  4. tensorflow/cc/gradients/math_grad.cc

      }
      if (grad_inputs.size() != 1) {
        return errors::InvalidArgument("Cast grad requires 1 grad input");
      }
    
      auto src_type = op.input_type(0);
      auto dst_type = grad_inputs[0].type();
      if (IsFloatingPointDtype(src_type) && IsFloatingPointDtype(dst_type)) {
        grad_outputs->push_back(Cast(scope, grad_inputs[0], src_type));
      } else {
        grad_outputs->push_back(NoGradient());
      }
      return scope.status();
    }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Aug 25 18:20:20 UTC 2023
    - 50.7K bytes
    - Viewed (0)
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