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
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.triton_helpers import math as tl_math
import torch.nn as nn
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_abs_max_0(in_ptr0, out_ptr0, xnumel, XBLOCK: tl.constexpr
    ):
    xnumel = 4
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex
    tmp0 = tl.load(in_ptr0 + 4 * x0, xmask, eviction_policy='evict_last')
    tmp2 = tl.load(in_ptr0 + (16 + 4 * x0), xmask, eviction_policy='evict_last'
        )
    tmp5 = tl.load(in_ptr0 + (32 + 4 * x0), xmask, eviction_policy='evict_last'
        )
    tmp8 = tl.load(in_ptr0 + (48 + 4 * x0), xmask, eviction_policy='evict_last'
        )
    tmp11 = tl.load(in_ptr0 + (1 + 4 * x0), xmask, eviction_policy='evict_last'
        )
    tmp13 = tl.load(in_ptr0 + (17 + 4 * x0), xmask, eviction_policy=
        'evict_last')
    tmp16 = tl.load(in_ptr0 + (33 + 4 * x0), xmask, eviction_policy=
        'evict_last')
    tmp19 = tl.load(in_ptr0 + (49 + 4 * x0), xmask, eviction_policy=
        'evict_last')
    tmp23 = tl.load(in_ptr0 + (2 + 4 * x0), xmask, eviction_policy='evict_last'
        )
    tmp25 = tl.load(in_ptr0 + (18 + 4 * x0), xmask, eviction_policy=
        'evict_last')
    tmp28 = tl.load(in_ptr0 + (34 + 4 * x0), xmask, eviction_policy=
        'evict_last')
    tmp31 = tl.load(in_ptr0 + (50 + 4 * x0), xmask, eviction_policy=
        'evict_last')
    tmp35 = tl.load(in_ptr0 + (3 + 4 * x0), xmask, eviction_policy='evict_last'
        )
    tmp37 = tl.load(in_ptr0 + (19 + 4 * x0), xmask, eviction_policy=
        'evict_last')
    tmp40 = tl.load(in_ptr0 + (35 + 4 * x0), xmask, eviction_policy=
        'evict_last')
    tmp43 = tl.load(in_ptr0 + (51 + 4 * x0), xmask, eviction_policy=
        'evict_last')
    tmp1 = tl_math.abs(tmp0)
    tmp3 = tl_math.abs(tmp2)
    tmp4 = triton_helpers.maximum(tmp1, tmp3)
    tmp6 = tl_math.abs(tmp5)
    tmp7 = triton_helpers.maximum(tmp4, tmp6)
    tmp9 = tl_math.abs(tmp8)
    tmp10 = triton_helpers.maximum(tmp7, tmp9)
    tmp12 = tl_math.abs(tmp11)
    tmp14 = tl_math.abs(tmp13)
    tmp15 = triton_helpers.maximum(tmp12, tmp14)
    tmp17 = tl_math.abs(tmp16)
    tmp18 = triton_helpers.maximum(tmp15, tmp17)
    tmp20 = tl_math.abs(tmp19)
    tmp21 = triton_helpers.maximum(tmp18, tmp20)
    tmp22 = triton_helpers.maximum(tmp10, tmp21)
    tmp24 = tl_math.abs(tmp23)
    tmp26 = tl_math.abs(tmp25)
    tmp27 = triton_helpers.maximum(tmp24, tmp26)
    tmp29 = tl_math.abs(tmp28)
    tmp30 = triton_helpers.maximum(tmp27, tmp29)
    tmp32 = tl_math.abs(tmp31)
    tmp33 = triton_helpers.maximum(tmp30, tmp32)
    tmp34 = triton_helpers.maximum(tmp22, tmp33)
    tmp36 = tl_math.abs(tmp35)
    tmp38 = tl_math.abs(tmp37)
    tmp39 = triton_helpers.maximum(tmp36, tmp38)
    tmp41 = tl_math.abs(tmp40)
    tmp42 = triton_helpers.maximum(tmp39, tmp41)
    tmp44 = tl_math.abs(tmp43)
    tmp45 = triton_helpers.maximum(tmp42, tmp44)
    tmp46 = triton_helpers.maximum(tmp34, tmp45)
    tl.store(out_ptr0 + x0, tmp46, xmask)


@triton.jit
def triton_poi_fused_div_repeat_1(in_ptr0, in_ptr1, out_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 64
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x3 = xindex
    x1 = xindex // 4 % 4
    tmp0 = tl.load(in_ptr0 + x3, xmask)
    tmp1 = tl.load(in_ptr1 + x1, xmask, eviction_policy='evict_last')
    tmp2 = 1e-05
    tmp3 = tmp1 + tmp2
    tmp4 = tmp0 / tmp3
    tl.store(out_ptr0 + x3, tmp4, xmask)


def call(args):
    arg0_1, = args
    args.clear()
    assert_size_stride(arg0_1, (4, 4, 4), (16, 4, 1))
    with torch.cuda._DeviceGuard(0):
        torch.cuda.set_device(0)
        buf0 = empty_strided_cuda((4,), (1,), torch.float32)
        get_raw_stream(0)
        triton_poi_fused_abs_max_0[grid(4)](arg0_1, buf0, 4, XBLOCK=4,
            num_warps=1, num_stages=1)
        buf1 = empty_strided_cuda((4, 4, 4), (16, 4, 1), torch.float32)
        triton_poi_fused_div_repeat_1[grid(64)](arg0_1, buf0, buf1, 64,
            XBLOCK=64, num_warps=1, num_stages=1)
        del arg0_1
        del buf0
    return buf1,


class ChannelNormNew(nn.Module):

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

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


Measured latency_ms: 0.027222