// CHECK: %[[RESULT:.*]] = mhlo.reshape %[[CAST_BACK]] : (tensor<4xf16>) -> tensor<4x1xf16>
  // CHECK: return %[[RESULT]] : tensor<4x1xf16>
  %dimension = "tf.Const"() { value = dense<1> : tensor<1xi64> } : () -> tensor<1xi64>
  %0 = "tf.Mean"(%arg0, %dimension) { keep_dims = true }: (tensor<4x8xf16>, tensor<1xi64>) -> tensor<4x1xf16>
  func.return %0 : tensor<4x1xf16>
}

// -----

// CHECK-LABEL: func @mean_scalar_dim

// CHECK:           return %[[VAL_4]] : tensor<2x3xf16>
// CHECK:         }
func.func @floordiv_f16_broadcast(%arg0: tensor<2x3xf16>, %arg1: tensor<3xf16>) -> tensor<2x3xf16> {
  %0 = "chlo.broadcast_divide"(%arg0, %arg1) {broadcast_dimensions = array<i64: 1>} : (tensor<2x3xf16>, tensor<3xf16>) -> tensor<2x3xf16>

func.func @fuseTileWithBinaryOp1(%arg0: tensor<1x1xf32>, %arg1: tensor<1x128xf32>) -> tensor<1x128xf32> {
  %cst_0 = arith.constant dense<1.0> : tensor<f32>
  %cst_1 = arith.constant dense<[1, 128]> : tensor<2xi32>
  %0 = "tfl.add"(%arg0, %cst_0) {fused_activation_function = "NONE"} : (tensor<1x1xf32>, tensor<f32>) -> tensor<1x1xf32>
  %1 = "tfl.sqrt"(%0) : (tensor<1x1xf32>) -> tensor<1x1xf32>

	0x1f0c: 0xec59, 0x1f0d: 0x915d, 0x1f0e: 0xec79, 0x1f0f: 0xec99, 0x1f10: 0xecb9, 0x1f11: 0xecd9,
	0x1f12: 0x917d, 0x1f13: 0xecf9, 0x1f14: 0x919d, 0x1f15: 0x91bd, 0x1f16: 0xed19, 0x1f17: 0xed39,
	0x1f18: 0xed59, 0x1f19: 0xed79, 0x1f1a: 0xed99, 0x1f1b: 0xedb9, 0x1f1c: 0x91dd, 0x1f1d: 0x91fd,
	0x1f1e: 0x921d, 0x1f1f: 0x2040, 0x1f20: 0xedd9, 0x1f21: 0x923d, 0x1f22: 0xedf9, 0x1f23: 0xee19,

	0x1f0c: 0xec59, 0x1f0d: 0x915d, 0x1f0e: 0xec79, 0x1f0f: 0xec99, 0x1f10: 0xecb9, 0x1f11: 0xecd9,
	0x1f12: 0x917d, 0x1f13: 0xecf9, 0x1f14: 0x919d, 0x1f15: 0x91bd, 0x1f16: 0xed19, 0x1f17: 0xed39,
	0x1f18: 0xed59, 0x1f19: 0xed79, 0x1f1a: 0xed99, 0x1f1b: 0xedb9, 0x1f1c: 0x91dd, 0x1f1d: 0x91fd,
	0x1f1e: 0x921d, 0x1f1f: 0x2040, 0x1f20: 0xedd9, 0x1f21: 0x923d, 0x1f22: 0xedf9, 0x1f23: 0xee19,

	0x1f0c: 0x955d, 0x1f0d: 0xf7f9, 0x1f0e: 0xf819, 0x1f0f: 0xf839, 0x1f10: 0xf859, 0x1f11: 0xf879,
	0x1f12: 0xf899, 0x1f13: 0x957d, 0x1f14: 0xf8b9, 0x1f15: 0xf8d9, 0x1f16: 0xf8f9, 0x1f17: 0xf919,
	0x1f18: 0x959d, 0x1f19: 0x95bd, 0x1f1a: 0xf939, 0x1f1b: 0xf959, 0x1f1c: 0xf979, 0x1f1d: 0x95dd,
	0x1f1e: 0xf999, 0x1f1f: 0xf9b9, 0x1f20: 0x6815, 0x1f21: 0x95fd, 0x1f22: 0xf9d9, 0x1f23: 0xf9f9,

	0x1f0c: 0xec71, 0x1f0d: 0x9195, 0x1f0e: 0xec91, 0x1f0f: 0xecb1, 0x1f10: 0xecd1, 0x1f11: 0xecf1,
	0x1f12: 0x91b5, 0x1f13: 0xed11, 0x1f14: 0x91d5, 0x1f15: 0x91f5, 0x1f16: 0xed31, 0x1f17: 0xed51,
	0x1f18: 0xed71, 0x1f19: 0xed91, 0x1f1a: 0xedb1, 0x1f1b: 0xedd1, 0x1f1c: 0x9215, 0x1f1d: 0x9235,
	0x1f1e: 0x9255, 0x1f1f: 0x2040, 0x1f20: 0xedf1, 0x1f21: 0x9275, 0x1f22: 0xee11, 0x1f23: 0xee31,

	0x1f0c: 0x2ec1, 0x1f0d: 0x9195, 0x1f0e: 0x2ec9, 0x1f0f: 0x2ed1, 0x1f10: 0x2ed9, 0x1f11: 0x2ee1,
	0x1f12: 0x91b5, 0x1f13: 0x2ee9, 0x1f14: 0x91d5, 0x1f15: 0x91f5, 0x1f16: 0x2ef1, 0x1f17: 0x2ef9,
	0x1f18: 0x2f01, 0x1f19: 0x2f09, 0x1f1a: 0x2f11, 0x1f1b: 0x2f19, 0x1f1c: 0x9215, 0x1f1d: 0x9235,
	0x1f1e: 0x9255, 0x1f1f: 0x2040, 0x1f20: 0x2f21, 0x1f21: 0x9275, 0x1f22: 0x2f29, 0x1f23: 0x2f31,

	0x1f0c: 0x26d9, 0x1f0d: 0x04d9, 0x1f0e: 0x26e1, 0x1f0f: 0x26e9, 0x1f10: 0x0018, 0x1f11: 0x0018,
	0x1f12: 0x0018, 0x1f13: 0x0018, 0x1f14: 0x0018, 0x1f15: 0x0018, 0x1f16: 0x0018, 0x1f17: 0x0018,
	0x1f18: 0x0018, 0x1f19: 0x0018, 0x1f1a: 0x0018, 0x1f1b: 0x0018, 0x1f1c: 0x0018, 0x1f1d: 0x0018,
	0x1f1e: 0x0018, 0x1f1f: 0x0018, 0x1f20: 0x0018, 0x1f21: 0x0018, 0x1f22: 0x0018, 0x1f23: 0x0018,