import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.distributed
import torch.nn.parallel
import torch.utils.data
import torch.utils.data.distributed
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cuda = torch._C._dynamo.guards._empty_strided_cuda


@triton.jit
def triton_poi_fused_mean_mul_pow_sub_0(in_out_ptr0, in_ptr0, in_ptr1,
    in_ptr2, xnumel, XBLOCK: tl.constexpr):
    xnumel = 16
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex
    tmp0 = tl.load(in_ptr0 + 16 * x0, xmask, eviction_policy='evict_last')
    tmp1 = tl.load(in_ptr1 + 16 * x0, xmask, eviction_policy='evict_last')
    tmp4 = tl.load(in_ptr0 + (1 + 16 * x0), xmask, eviction_policy='evict_last'
        )
    tmp5 = tl.load(in_ptr1 + (1 + 16 * x0), xmask, eviction_policy='evict_last'
        )
    tmp9 = tl.load(in_ptr0 + (2 + 16 * x0), xmask, eviction_policy='evict_last'
        )
    tmp10 = tl.load(in_ptr1 + (2 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp14 = tl.load(in_ptr0 + (3 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp15 = tl.load(in_ptr1 + (3 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp21 = tl.load(in_ptr0 + (4 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp22 = tl.load(in_ptr1 + (4 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp25 = tl.load(in_ptr0 + (5 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp26 = tl.load(in_ptr1 + (5 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp30 = tl.load(in_ptr0 + (6 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp31 = tl.load(in_ptr1 + (6 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp35 = tl.load(in_ptr0 + (7 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp36 = tl.load(in_ptr1 + (7 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp42 = tl.load(in_ptr0 + (8 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp43 = tl.load(in_ptr1 + (8 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp46 = tl.load(in_ptr0 + (9 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp47 = tl.load(in_ptr1 + (9 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp51 = tl.load(in_ptr0 + (10 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp52 = tl.load(in_ptr1 + (10 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp56 = tl.load(in_ptr0 + (11 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp57 = tl.load(in_ptr1 + (11 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp63 = tl.load(in_ptr0 + (12 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp64 = tl.load(in_ptr1 + (12 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp67 = tl.load(in_ptr0 + (13 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp68 = tl.load(in_ptr1 + (13 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp72 = tl.load(in_ptr0 + (14 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp73 = tl.load(in_ptr1 + (14 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp77 = tl.load(in_ptr0 + (15 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp78 = tl.load(in_ptr1 + (15 + 16 * x0), xmask, eviction_policy=
        'evict_last')
    tmp85 = tl.load(in_ptr2 + x0, xmask)
    tmp89 = tl.load(in_ptr2 + (16 + x0), xmask)
    tmp93 = tl.load(in_ptr2 + (32 + x0), xmask)
    tmp97 = tl.load(in_ptr2 + (48 + x0), xmask)
    tmp102 = tl.load(in_ptr2 + (64 + x0), xmask)
    tmp105 = tl.load(in_ptr2 + (80 + x0), xmask)
    tmp109 = tl.load(in_ptr2 + (96 + x0), xmask)
    tmp113 = tl.load(in_ptr2 + (112 + x0), xmask)
    tmp119 = tl.load(in_ptr2 + (128 + x0), xmask)
    tmp122 = tl.load(in_ptr2 + (144 + x0), xmask)
    tmp126 = tl.load(in_ptr2 + (160 + x0), xmask)
    tmp130 = tl.load(in_ptr2 + (176 + x0), xmask)
    tmp136 = tl.load(in_ptr2 + (192 + x0), xmask)
    tmp139 = tl.load(in_ptr2 + (208 + x0), xmask)
    tmp143 = tl.load(in_ptr2 + (224 + x0), xmask)
    tmp147 = tl.load(in_ptr2 + (240 + x0), xmask)
    tmp2 = tmp0 - tmp1
    tmp3 = tmp2 * tmp2
    tmp6 = tmp4 - tmp5
    tmp7 = tmp6 * tmp6
    tmp8 = tmp3 + tmp7
    tmp11 = tmp9 - tmp10
    tmp12 = tmp11 * tmp11
    tmp13 = tmp8 + tmp12
    tmp16 = tmp14 - tmp15
    tmp17 = tmp16 * tmp16
    tmp18 = tmp13 + tmp17
    tmp19 = 4.0
    tmp20 = tmp18 / tmp19
    tmp23 = tmp21 - tmp22
    tmp24 = tmp23 * tmp23
    tmp27 = tmp25 - tmp26
    tmp28 = tmp27 * tmp27
    tmp29 = tmp24 + tmp28
    tmp32 = tmp30 - tmp31
    tmp33 = tmp32 * tmp32
    tmp34 = tmp29 + tmp33
    tmp37 = tmp35 - tmp36
    tmp38 = tmp37 * tmp37
    tmp39 = tmp34 + tmp38
    tmp40 = tmp39 / tmp19
    tmp41 = tmp20 + tmp40
    tmp44 = tmp42 - tmp43
    tmp45 = tmp44 * tmp44
    tmp48 = tmp46 - tmp47
    tmp49 = tmp48 * tmp48
    tmp50 = tmp45 + tmp49
    tmp53 = tmp51 - tmp52
    tmp54 = tmp53 * tmp53
    tmp55 = tmp50 + tmp54
    tmp58 = tmp56 - tmp57
    tmp59 = tmp58 * tmp58
    tmp60 = tmp55 + tmp59
    tmp61 = tmp60 / tmp19
    tmp62 = tmp41 + tmp61
    tmp65 = tmp63 - tmp64
    tmp66 = tmp65 * tmp65
    tmp69 = tmp67 - tmp68
    tmp70 = tmp69 * tmp69
    tmp71 = tmp66 + tmp70
    tmp74 = tmp72 - tmp73
    tmp75 = tmp74 * tmp74
    tmp76 = tmp71 + tmp75
    tmp79 = tmp77 - tmp78
    tmp80 = tmp79 * tmp79
    tmp81 = tmp76 + tmp80
    tmp82 = tmp81 / tmp19
    tmp83 = tmp62 + tmp82
    tmp84 = tmp83 / tmp19
    tmp86 = 0.5
    tmp87 = tmp85 * tmp86
    tmp88 = tmp87 * tmp84
    tmp90 = tmp89 * tmp86
    tmp91 = tmp90 * tmp84
    tmp92 = tmp88 + tmp91
    tmp94 = tmp93 * tmp86
    tmp95 = tmp94 * tmp84
    tmp96 = tmp92 + tmp95
    tmp98 = tmp97 * tmp86
    tmp99 = tmp98 * tmp84
    tmp100 = tmp96 + tmp99
    tmp101 = tmp100 / tmp19
    tmp103 = tmp102 * tmp86
    tmp104 = tmp103 * tmp84
    tmp106 = tmp105 * tmp86
    tmp107 = tmp106 * tmp84
    tmp108 = tmp104 + tmp107
    tmp110 = tmp109 * tmp86
    tmp111 = tmp110 * tmp84
    tmp112 = tmp108 + tmp111
    tmp114 = tmp113 * tmp86
    tmp115 = tmp114 * tmp84
    tmp116 = tmp112 + tmp115
    tmp117 = tmp116 / tmp19
    tmp118 = tmp101 + tmp117
    tmp120 = tmp119 * tmp86
    tmp121 = tmp120 * tmp84
    tmp123 = tmp122 * tmp86
    tmp124 = tmp123 * tmp84
    tmp125 = tmp121 + tmp124
    tmp127 = tmp126 * tmp86
    tmp128 = tmp127 * tmp84
    tmp129 = tmp125 + tmp128
    tmp131 = tmp130 * tmp86
    tmp132 = tmp131 * tmp84
    tmp133 = tmp129 + tmp132
    tmp134 = tmp133 / tmp19
    tmp135 = tmp118 + tmp134
    tmp137 = tmp136 * tmp86
    tmp138 = tmp137 * tmp84
    tmp140 = tmp139 * tmp86
    tmp141 = tmp140 * tmp84
    tmp142 = tmp138 + tmp141
    tmp144 = tmp143 * tmp86
    tmp145 = tmp144 * tmp84
    tmp146 = tmp142 + tmp145
    tmp148 = tmp147 * tmp86
    tmp149 = tmp148 * tmp84
    tmp150 = tmp146 + tmp149
    tmp151 = tmp150 / tmp19
    tmp152 = tmp135 + tmp151
    tmp153 = tmp152 / tmp19
    tl.store(in_out_ptr0 + x0, tmp153, xmask)


def call(args):
    arg0_1, arg1_1, arg2_1 = args
    args.clear()
    assert_size_stride(arg0_1, (4, 4, 4, 4), (64, 16, 4, 1))
    assert_size_stride(arg1_1, (4, 4, 4, 4), (64, 16, 4, 1))
    assert_size_stride(arg2_1, (4, 4, 4, 4), (64, 16, 4, 1))
    with torch.cuda._DeviceGuard(0):
        torch.cuda.set_device(0)
        buf0 = empty_strided_cuda((4, 4), (4, 1), torch.float32)
        buf1 = buf0
        del buf0
        get_raw_stream(0)
        triton_poi_fused_mean_mul_pow_sub_0[grid(16)](buf1, arg1_1, arg2_1,
            arg0_1, 16, XBLOCK=16, num_warps=1, num_stages=1)
        del arg0_1
        del arg1_1
        del arg2_1
    return buf1,


class MSELossNew(torch.nn.Module):

    def __init__(self):
        super(MSELossNew, self).__init__()

    def forward(self, input_0, input_1, input_2):
        arg0_1 = input_0
        arg1_1 = input_1
        arg2_1 = input_2
        output = call([arg0_1, arg1_1, arg2_1])
        return output[0]


Measured latency_ms: 0.04011