var egressDialer utilnet.DialFunc
					egressDialer, err = egressSelector.Lookup(networkContext)
					if err != nil {
						return nil, err
					}

					ret.Dial = egressDialer
				} else if proxyTransport != nil && proxyTransport.DialContext != nil {
					ret.Dial = proxyTransport.DialContext
				}
				return ret, nil
			},
		}
	}
	return webhookAuthResolverWrapper
}

// license that can be found in the LICENSE file.

//go:build (!amd64 && !386 && !s390x && !ppc64le && !ppc64 && !arm64) || purego

package sha256

func block(dig *digest, p []byte) {
	blockGeneric(dig, p)

    return %0 : tensor<*xf32>
  }

// CHECK-LABEL: func @conv2d
// CHECK-DAG: %[[CONST_0:.*]] = arith.constant dense<0.000000e+00> : tensor<2xf32>
// CHECK-DAG: %[[CONST_1:.*]] = arith.constant dense<3.000000e+00> : tensor<2x3x512x2xf32>

  func.return %arg0 : tensor<2x4xf32>
}

func.func @foobar(%arg0: tensor<1x4xf32>, %arg1: tensor<1x4xf32>) -> tensor<1x4xf32> {
  func.return %arg0 : tensor<1x4xf32>
}

// CHECK-DAG: func @main
// CHECK-DAG: func @foobar
// CHECK-NOT: func @foo

# CHECK-SAME:                  tensor<5x5xf32> {tf_saved_model.index_path = ["s"]}
# CHECK-SAME: attributes {{.*}} tf_saved_model.exported_names = ["key"]
# CHECK-DAG: %[[MUL0:.*]] = "tf.MatMul"(%[[ARG1]], %[[ARG0]])
# CHECK-DAG: %[[MUL1:.*]] = "tf.MatMul"(%[[ARG0]], %[[ARG1]])
# CHECK:  %[[IDENTITY:.*]]:2 = "tf.IdentityN"(%[[MUL1]], %[[MUL0]])
# CHECK: return %[[IDENTITY]]#0, %[[IDENTITY]]#1

  %0 = stablehlo.constant dense<[0.000000e+0, 1.000000e+0]> : tensor<2xf32>
  %1 = stablehlo.transpose %0, dims = [0] : (tensor<2xf32>) -> tensor<2xf32>
  return %1 : tensor<2xf32>
}
// CHECK-DAG: %[[CONST_0:.+]] = stablehlo.constant dense<[0.000000e+00, 1.000000e+00]> : tensor<2xf32>
// CHECK-NOT: transpose
// CHECK: return %[[CONST_0]] : tensor<2xf32>

// -----

// CHECK-LABEL: transpose_simple_2d

            value {
              b: false
            }
          }
        }
      }
    }
  }
}

# CHECK-DAG: func private @custom_relu{{[0-9]*}}(){{.+}}tf._implements = #tf_type.func<@tensorflow.relu, {}>, tf._original_func_name = "custom_relu"}

  %2 = "tf.Mul"(%1, %value) {T = "tfdtype$DT_FLOAT"} : (tensor<256x8x7x16xf32>, tensor<16xf32>) -> tensor<256x8x7x16xf32>
  func.return %2 : tensor<256x8x7x16xf32>

// CHECK-DAG: %[[cst:.*]] = "tf.Const{{.*}} dense<8.000000e+00> : tensor<3x3x3x16xf32>
// CHECK-DAG: %[[cst_0:.*]] = "tf.Const{{.*}} dense<1.200000e+01> : tensor<16xf32>
// CHECK-NEXT: %[[conv:.*]] = "tf.Conv2D"(%arg0, %[[cst]])
// CHECK-NEXT: %[[bias:.*]] = "tf.AddV2"(%[[conv]], %[[cst_0]])

// CHECK-LABEL: @unfold_splat_constant_float
func.func @unfold_splat_constant_float() -> tensor<1x750xf32> {
  %cst = mhlo.constant dense<7.680000e+02> : tensor<1x750xf32>
  func.return %cst : tensor<1x750xf32>

  // CHECK-DAG: %0 = mhlo.constant dense<7.680000e+02> : tensor<f32>
  // CHECK: %1 = "mhlo.broadcast_in_dim"(%0) <{broadcast_dimensions = dense<> : tensor<0xi64>}> : (tensor<f32>) -> tensor<1x750xf32>
  // CHECK: return %1 : tensor<1x750xf32>
}

	})
	return edges
}

// Parse parses the DAG language and returns the transitive closure of
// the described graph. In the returned graph, there is an edge from "b"
// to "a" if b < a (or a > b) in the partial order.
func Parse(dag string) (*Graph, error) {
	g := newGraph()
	disallowed := []rule{}

	rules, err := parseRules(dag)
	if err != nil {
		return nil, err
	}