// CHECK-DAG: %[[RESULT:.+]] = mhlo.convolution(%[[INPUT]], %[[NEW_FILTER]]) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {stride = [1, 1], pad = {{\[\[}}0, 0], [0, 0]], rhs_dilate = [1, 1]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x256x256x3xf32>, tensor<1x1x3x2xf32>) -> tensor<1x256x256x2xf32>

// CHECK-NEXT: %[[Y:[a-z0-9]*]], {{.*}}_FusedBatchNormEx
// CHECK-NEXT: return %[[Y]]
  %y:6 = "tf.FusedBatchNormV3"(%arg0, %arg1, %arg2, %arg3, %arg4) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", epsilon = 0.001 : f32, is_training = false} : (tensor<8x8x8x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>) -> (tensor<8x8x8x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>)

	n = int(r0)
	if e1 != 0 {
		err = errnoErr(e1)
	}
	return
}

// THIS FILE IS GENERATED BY THE COMMAND AT THE TOP; DO NOT EDIT

func setgroups(ngid int, gid *_Gid_t) (err error) {
	_, _, e1 := rawSyscall6(uintptr(unsafe.Pointer(&libc_setgroups)), 2, uintptr(ngid), uintptr(unsafe.Pointer(gid)), 0, 0, 0, 0)
	if e1 != 0 {
		err = errnoErr(e1)
	}

000000a0  00 0a 00 0a 00 08 00 1d  00 17 00 18 00 19 00 0d  |................|
000000b0  00 1a 00 18 08 04 04 03  08 07 08 05 08 06 04 01  |................|
000000c0  05 01 06 01 05 03 06 03  02 01 02 03 00 2b 00 09  |.............+..|
000000d0  08 03 04 03 03 03 02 03  01 00 33 00 26 00 24 00  |..........3.&.$.|
000000e0  1d 00 20 2f e5 7d a3 47  cd 62 43 15 28 da ac 5f  |.. /.}.G.bC.(.._|

000000a0  00 0a 00 0a 00 08 00 1d  00 17 00 18 00 19 00 0d  |................|
000000b0  00 1a 00 18 08 04 04 03  08 07 08 05 08 06 04 01  |................|
000000c0  05 01 06 01 05 03 06 03  02 01 02 03 00 2b 00 09  |.............+..|
000000d0  08 03 04 03 03 03 02 03  01 00 33 00 26 00 24 00  |..........3.&.$.|
000000e0  1d 00 20 2f e5 7d a3 47  cd 62 43 15 28 da ac 5f  |.. /.}.G.bC.(.._|

000000a0  00 0a 00 0a 00 08 00 1d  00 17 00 18 00 19 00 0d  |................|
000000b0  00 1a 00 18 08 04 04 03  08 07 08 05 08 06 04 01  |................|
000000c0  05 01 06 01 05 03 06 03  02 01 02 03 00 2b 00 09  |.............+..|
000000d0  08 03 04 03 03 03 02 03  01 00 33 00 26 00 24 00  |..........3.&.$.|
000000e0  1d 00 20 2f e5 7d a3 47  cd 62 43 15 28 da ac 5f  |.. /.}.G.bC.(.._|

# get should walk past other 4xx errors if proxies are separated with '|'.
env GOPROXY=$proxy/403|https://0.0.0.0|$proxy
go get rsc.io/quote@v1.2.0

# get should walk past non-4xx errors if proxies are separated with '|'.
env GOPROXY=$proxy/500|https://0.0.0.0|$proxy
go get rsc.io/quote@v1.3.0

# get should return the final error if that's all we have.
env GOPROXY=$proxy/404,$proxy/410

    %ro:2, %c2 = tf_executor.island wraps "tf.TPUReplicatedOutput"(%out) : (tensor<i32>) -> (tensor<i32>, tensor<i32>)
    tf_executor.fetch %ro#0, %ro#1 : tensor<i32>, tensor<i32>
  }
  return %0#0, %0#1 : tensor<i32>, tensor<i32>
}

// -----

func.func @num_replicas_replicated_input(%arg0: tensor<i32>, %arg1: tensor<i32>, %arg2: tensor<i32>, %arg3: tensor<i32>) -> (tensor<i32>, tensor<i32>) {

//   %0:6 = "tf.FusedBatchNormV3"(%cst_0, %cst_1, %cst_2, %cst_1, %cst_2) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", epsilon = 0.001 : f32, is_training = false} : (tensor<1x1x2x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>) -> (tensor<1x1x2x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>)

000000a0  00 0a 00 0a 00 08 00 1d  00 17 00 18 00 19 00 0d  |................|
000000b0  00 1a 00 18 08 04 04 03  08 07 08 05 08 06 04 01  |................|
000000c0  05 01 06 01 05 03 06 03  02 01 02 03 00 2b 00 09  |.............+..|
000000d0  08 03 04 03 03 03 02 03  01 00 33 00 26 00 24 00  |..........3.&.$.|
000000e0  1d 00 20 2f e5 7d a3 47  cd 62 43 15 28 da ac 5f  |.. /.}.G.bC.(.._|