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
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__to_copy__unsafe_index_adaptive_max_pool2d_add_arange_clamp_mul_sigmoid_sub_0(
    in_out_ptr0, in_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 256
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x1 = xindex // 4 % 4
    x0 = xindex % 4
    x2 = xindex // 16
    x4 = xindex
    tmp0 = x1
    tmp1 = tmp0.to(tl.float32)
    tmp2 = 0.5
    tmp3 = tmp1 + tmp2
    tmp4 = tmp3 * tmp2
    tmp5 = tmp4 - tmp2
    tmp6 = 0.0
    tmp7 = triton_helpers.maximum(tmp5, tmp6)
    tmp8 = tmp7.to(tl.int32)
    tmp9 = tl.full([1], 1, tl.int64)
    tmp10 = tmp8 + tmp9
    tmp11 = triton_helpers.minimum(tmp10, tmp9)
    tmp12 = x0
    tmp13 = tmp12.to(tl.float32)
    tmp14 = tmp13 + tmp2
    tmp15 = tmp14 * tmp2
    tmp16 = tmp15 - tmp2
    tmp17 = triton_helpers.maximum(tmp16, tmp6)
    tmp18 = tmp17.to(tl.int32)
    tmp19 = tmp18 + tmp9
    tmp20 = triton_helpers.minimum(tmp19, tmp9)
    tmp21 = tl.load(in_ptr0 + (2 * tmp20 + 8 * tmp11 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp22 = tl.load(in_ptr0 + (1 + 2 * tmp20 + 8 * tmp11 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp23 = triton_helpers.maximum(tmp22, tmp21)
    tmp24 = tl.load(in_ptr0 + (4 + 2 * tmp20 + 8 * tmp11 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp25 = triton_helpers.maximum(tmp24, tmp23)
    tmp26 = tl.load(in_ptr0 + (5 + 2 * tmp20 + 8 * tmp11 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp27 = triton_helpers.maximum(tmp26, tmp25)
    tmp28 = tl.load(in_ptr0 + (2 * tmp18 + 8 * tmp11 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp29 = tl.load(in_ptr0 + (1 + 2 * tmp18 + 8 * tmp11 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp30 = triton_helpers.maximum(tmp29, tmp28)
    tmp31 = tl.load(in_ptr0 + (4 + 2 * tmp18 + 8 * tmp11 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp32 = triton_helpers.maximum(tmp31, tmp30)
    tmp33 = tl.load(in_ptr0 + (5 + 2 * tmp18 + 8 * tmp11 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp34 = triton_helpers.maximum(tmp33, tmp32)
    tmp35 = tmp27 - tmp34
    tmp36 = tl.load(in_ptr0 + (2 * tmp20 + 8 * tmp8 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp37 = tl.load(in_ptr0 + (1 + 2 * tmp20 + 8 * tmp8 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp38 = triton_helpers.maximum(tmp37, tmp36)
    tmp39 = tl.load(in_ptr0 + (4 + 2 * tmp20 + 8 * tmp8 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp40 = triton_helpers.maximum(tmp39, tmp38)
    tmp41 = tl.load(in_ptr0 + (5 + 2 * tmp20 + 8 * tmp8 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp42 = triton_helpers.maximum(tmp41, tmp40)
    tmp43 = tl.load(in_ptr0 + (2 * tmp18 + 8 * tmp8 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp44 = tl.load(in_ptr0 + (1 + 2 * tmp18 + 8 * tmp8 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp45 = triton_helpers.maximum(tmp44, tmp43)
    tmp46 = tl.load(in_ptr0 + (4 + 2 * tmp18 + 8 * tmp8 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp47 = triton_helpers.maximum(tmp46, tmp45)
    tmp48 = tl.load(in_ptr0 + (5 + 2 * tmp18 + 8 * tmp8 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp49 = triton_helpers.maximum(tmp48, tmp47)
    tmp50 = tmp42 - tmp49
    tmp51 = tmp18.to(tl.float32)
    tmp52 = tmp17 - tmp51
    tmp53 = triton_helpers.maximum(tmp52, tmp6)
    tmp54 = 1.0
    tmp55 = triton_helpers.minimum(tmp53, tmp54)
    tmp56 = tmp35 * tmp55
    tmp57 = tmp34 + tmp56
    tmp58 = tmp50 * tmp55
    tmp59 = tmp49 + tmp58
    tmp60 = tmp57 - tmp59
    tmp61 = tmp8.to(tl.float32)
    tmp62 = tmp7 - tmp61
    tmp63 = triton_helpers.maximum(tmp62, tmp6)
    tmp64 = triton_helpers.minimum(tmp63, tmp54)
    tmp65 = tmp60 * tmp64
    tmp66 = tmp59 + tmp65
    tmp67 = tl.sigmoid(tmp66)
    tl.store(in_out_ptr0 + x4, tmp67, xmask)


def call(args):
    arg0_1, = args
    args.clear()
    assert_size_stride(arg0_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, 4), (64, 16, 4, 1), torch.float32)
        buf1 = buf0
        del buf0
        buf4 = buf1
        del buf1
        get_raw_stream(0)
        triton_poi_fused__to_copy__unsafe_index_adaptive_max_pool2d_add_arange_clamp_mul_sigmoid_sub_0[
            grid(256)](buf4, arg0_1, 256, XBLOCK=128, num_warps=4, num_stages=1
            )
        del arg0_1
    return buf4,


class EncoderDecoderNew(nn.Module):

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

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


Measured latency_ms: 0.013955