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 numpy as np
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_per_fused_add_clamp_div_max_pool2d_with_indices_sub_sum_0(
    in_out_ptr0, in_ptr0, in_ptr1, xnumel, rnumel):
    XBLOCK: tl.constexpr = 1
    RBLOCK: tl.constexpr = 256
    xoffset = tl.program_id(0) * XBLOCK
    tl.full([1], xoffset, tl.int32)
    tl.full([RBLOCK], True, tl.int1)
    rindex = tl.arange(0, RBLOCK)[:]
    tl.full([RBLOCK], True, tl.int1)
    r1 = rindex // 4 % 4
    r0 = rindex % 4
    r3 = rindex
    tmp69 = tl.load(in_ptr1 + r3, None)
    tmp81 = tl.load(in_ptr0 + r3, None)
    tmp0 = -1 + r1
    tmp1 = tl.full([1], 0, tl.int64)
    tmp2 = tmp0 >= tmp1
    tmp3 = tl.full([1], 4, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tmp2 & tmp4
    tmp6 = -1 + r0
    tmp7 = tmp6 >= tmp1
    tmp8 = tmp6 < tmp3
    tmp9 = tmp7 & tmp8
    tmp10 = tmp5 & tmp9
    tmp11 = tl.load(in_ptr0 + tl.broadcast_to(-5 + r3, [RBLOCK]), tmp10,
        other=float('-inf'))
    tmp12 = r0
    tmp13 = tmp12 >= tmp1
    tmp14 = tmp12 < tmp3
    tmp15 = tmp13 & tmp14
    tmp16 = tmp5 & tmp15
    tmp17 = tl.load(in_ptr0 + tl.broadcast_to(-4 + r3, [RBLOCK]), tmp16,
        other=float('-inf'))
    tmp18 = triton_helpers.maximum(tmp17, tmp11)
    tmp19 = 1 + r0
    tmp20 = tmp19 >= tmp1
    tmp21 = tmp19 < tmp3
    tmp22 = tmp20 & tmp21
    tmp23 = tmp5 & tmp22
    tmp24 = tl.load(in_ptr0 + tl.broadcast_to(-3 + r3, [RBLOCK]), tmp23,
        other=float('-inf'))
    tmp25 = triton_helpers.maximum(tmp24, tmp18)
    tmp26 = r1
    tmp27 = tmp26 >= tmp1
    tmp28 = tmp26 < tmp3
    tmp29 = tmp27 & tmp28
    tmp30 = tmp29 & tmp9
    tmp31 = tl.load(in_ptr0 + tl.broadcast_to(-1 + r3, [RBLOCK]), tmp30,
        other=float('-inf'))
    tmp32 = triton_helpers.maximum(tmp31, tmp25)
    tmp33 = tmp29 & tmp15
    tmp34 = tl.load(in_ptr0 + tl.broadcast_to(r3, [RBLOCK]), tmp33, other=
        float('-inf'))
    tmp35 = triton_helpers.maximum(tmp34, tmp32)
    tmp36 = tmp29 & tmp22
    tmp37 = tl.load(in_ptr0 + tl.broadcast_to(1 + r3, [RBLOCK]), tmp36,
        other=float('-inf'))
    tmp38 = triton_helpers.maximum(tmp37, tmp35)
    tmp39 = 1 + r1
    tmp40 = tmp39 >= tmp1
    tmp41 = tmp39 < tmp3
    tmp42 = tmp40 & tmp41
    tmp43 = tmp42 & tmp9
    tmp44 = tl.load(in_ptr0 + tl.broadcast_to(3 + r3, [RBLOCK]), tmp43,
        other=float('-inf'))
    tmp45 = triton_helpers.maximum(tmp44, tmp38)
    tmp46 = tmp42 & tmp15
    tmp47 = tl.load(in_ptr0 + tl.broadcast_to(4 + r3, [RBLOCK]), tmp46,
        other=float('-inf'))
    tmp48 = triton_helpers.maximum(tmp47, tmp45)
    tmp49 = tmp42 & tmp22
    tmp50 = tl.load(in_ptr0 + tl.broadcast_to(5 + r3, [RBLOCK]), tmp49,
        other=float('-inf'))
    tmp51 = triton_helpers.maximum(tmp50, tmp48)
    tmp52 = tl.load(in_ptr1 + tl.broadcast_to(-5 + r3, [RBLOCK]), tmp10,
        other=float('-inf'))
    tmp53 = tl.load(in_ptr1 + tl.broadcast_to(-4 + r3, [RBLOCK]), tmp16,
        other=float('-inf'))
    tmp54 = triton_helpers.maximum(tmp53, tmp52)
    tmp55 = tl.load(in_ptr1 + tl.broadcast_to(-3 + r3, [RBLOCK]), tmp23,
        other=float('-inf'))
    tmp56 = triton_helpers.maximum(tmp55, tmp54)
    tmp57 = tl.load(in_ptr1 + tl.broadcast_to(-1 + r3, [RBLOCK]), tmp30,
        other=float('-inf'))
    tmp58 = triton_helpers.maximum(tmp57, tmp56)
    tmp59 = tl.load(in_ptr1 + tl.broadcast_to(r3, [RBLOCK]), tmp33, other=
        float('-inf'))
    tmp60 = triton_helpers.maximum(tmp59, tmp58)
    tmp61 = tl.load(in_ptr1 + tl.broadcast_to(1 + r3, [RBLOCK]), tmp36,
        other=float('-inf'))
    tmp62 = triton_helpers.maximum(tmp61, tmp60)
    tmp63 = tl.load(in_ptr1 + tl.broadcast_to(3 + r3, [RBLOCK]), tmp43,
        other=float('-inf'))
    tmp64 = triton_helpers.maximum(tmp63, tmp62)
    tmp65 = tl.load(in_ptr1 + tl.broadcast_to(4 + r3, [RBLOCK]), tmp46,
        other=float('-inf'))
    tmp66 = triton_helpers.maximum(tmp65, tmp64)
    tmp67 = tl.load(in_ptr1 + tl.broadcast_to(5 + r3, [RBLOCK]), tmp49,
        other=float('-inf'))
    tmp68 = triton_helpers.maximum(tmp67, tmp66)
    tmp70 = tmp69 - tmp51
    tmp71 = 0.0
    tmp72 = triton_helpers.maximum(tmp70, tmp71)
    tmp73 = 1.0
    tmp74 = triton_helpers.minimum(tmp72, tmp73)
    tmp75 = tl.broadcast_to(tmp74, [RBLOCK])
    tmp77 = triton_helpers.promote_to_tensor(tl.sum(tmp75, 0))
    tmp78 = tl.broadcast_to(tmp69, [RBLOCK])
    tmp80 = triton_helpers.promote_to_tensor(tl.sum(tmp78, 0))
    tmp82 = tmp81 - tmp68
    tmp83 = triton_helpers.maximum(tmp82, tmp71)
    tmp84 = triton_helpers.minimum(tmp83, tmp73)
    tmp85 = tl.broadcast_to(tmp84, [RBLOCK])
    tmp87 = triton_helpers.promote_to_tensor(tl.sum(tmp85, 0))
    tmp88 = tmp77 + tmp87
    tmp89 = tmp88 / tmp80
    tl.debug_barrier()
    tl.store(in_out_ptr0 + tl.full([1], 0, tl.int32), tmp89, None)


def call(args):
    arg0_1, arg1_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))
    with torch.cuda._DeviceGuard(0):
        torch.cuda.set_device(0)
        buf2 = empty_strided_cuda((), (), torch.float32)
        buf5 = buf2
        del buf2
        get_raw_stream(0)
        triton_per_fused_add_clamp_div_max_pool2d_with_indices_sub_sum_0[grid
            (1)](buf5, arg0_1, arg1_1, 1, 256, num_warps=2, num_stages=1)
        del arg0_1
        del arg1_1
    return buf5,


class DilateContourLossNew(nn.Module):

    def __init__(self):
        super(DilateContourLossNew, self).__init__()
        self.kernel = np.ones((3, 3), np.uint8)

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


Measured latency_ms: 0.01492