http.Redirect(w, r, u.String(), http.StatusTemporaryRedirect)
				return
			}
		}
		h.ServeHTTP(w, r)
	})
}

var redirectPrefixes = map[string]struct{}{
	"favicon-16x16.png": {},
	"favicon-32x32.png": {},
	"favicon-96x96.png": {},
	"index.html":        {},
	minioReservedBucket: {},
}

// Fetch redirect location if urlPath satisfies certain
// criteria. Some special names are considered to be

	{name: "Mul64uhilo", argLength: 2, typ: "(UInt64,UInt64)", commutative: true}, // arg0 * arg1, returns (hi, lo)

	{name: "Mul32uover", argLength: 2, typ: "(UInt32,Bool)", commutative: true}, // Let x = arg0*arg1 (full 32x32-> 64 unsigned multiply), returns (uint32(x), (uint32(x) != x))
	{name: "Mul64uover", argLength: 2, typ: "(UInt64,Bool)", commutative: true}, // Let x = arg0*arg1 (full 64x64->128 unsigned multiply), returns (uint64(x), (uint64(x) != x))

		{name: "MULLU", argLength: 2, reg: regInfo{inputs: []regMask{ax, gpsp}, outputs: []regMask{ax, 0}, clobbers: dx}, typ: "(UInt32,Flags)", asm: "MULL", commutative: true, clobberFlags: true}, // Let x = arg0*arg1 (full 32x32->64  unsigned multiply). Returns uint32(x), and flags set to overflow if uint32(x) != x.

		{name: "HMULL", argLength: 2, reg: gp21hmul, commutative: true, asm: "IMULL", clobberFlags: true}, // (arg0 * arg1) >> width

^bb0(%arg0: tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>):
  %cst = arith.constant dense<-1.23697901> : tensor<32xf32>
  %2 = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> tensor<1x224x224x3xf32>
  %w = arith.constant dense<-1.0> : tensor<32x3x3x3xf32>

    %0:2 = "tf.TPUExecute"(%read0, %arg1) {
      Targs = [tensor<32xf32>], Tresults = [tensor<32xf32>, tensor<32xf32>]}
      : (tensor<32xf32>, tensor<!tf_type.string>) -> (tensor<32xf32>, tensor<32xf32>)
    tf_device.return %0#0, %0#1 : tensor<32xf32>, tensor<32xf32>
  }) {device = "/job:localhost/replica:0/task:0/device:TPU:0"} : () -> (tensor<32xf32>, tensor<32xf32>)
  // CHECK-NEXT: tf_device.return
  // CHECK-NEXT: })

      "tf.AssignVariableOp"(%arg0, %read2) : (!tf_res, tensor<32xf32>) -> ()
      %read3 = "tf.ReadVariableOp"(%arg0) : (!tf_res) -> tensor<32xf32>
      tf_executor.yield %read3 : tensor<32xf32>
    }
    tf_executor.fetch %island#0 : tensor<32xf32>
  }
  func.return %graph : tensor<32xf32>
}

// -----
// Tests aliasing of the two resource handles that refer to the same variable.

      %read1 = "tf.ReadVariableOp"(%arg1) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32>
      %var_handle = "tf.VarHandleOp"() {container = "c", shared_name = "v0"} : () -> tensor<*x!tf_type.resource<tensor<32xf32>>>
      %read2 = "tf.ReadVariableOp"(%var_handle) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32>

      %read1 = "tf.ReadVariableOp"(%arg1) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32>
      %var_handle = "tf.VarHandleOp"() {container = "c", shared_name = "v0"} : () -> tensor<*x!tf_type.resource<tensor<32xf32>>>
      %read2 = "tf.ReadVariableOp"(%var_handle) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32>

    %assign1_control = tf_executor.island wraps "tf.AssignVariableOp"(%arg1, %read0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> ()
    %assign2_control = tf_executor.island wraps "tf.AssignVariableOp"(%arg0, %read2) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> ()

^bb0(%arg0: tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>):
  %cst = arith.constant dense<-1.23697901> : tensor<32xf32>
  %2 = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> tensor<1x224x224x3xf32>
  %w = arith.constant dense<-1.0> : tensor<32x3x3x3xf32>