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
import torch.utils.data
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__log_softmax_0(in_ptr0, out_ptr0, xnumel, XBLOCK: tl.
    constexpr):
    xnumel = 256
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x3 = xindex
    x0 = xindex % 16
    x2 = xindex // 64
    tmp0 = tl.load(in_ptr0 + x3, xmask)
    tmp1 = tl.load(in_ptr0 + (x0 + 64 * x2), xmask, eviction_policy=
        'evict_last')
    tmp2 = tl.load(in_ptr0 + (16 + x0 + 64 * x2), xmask, eviction_policy=
        'evict_last')
    tmp4 = tl.load(in_ptr0 + (32 + x0 + 64 * x2), xmask, eviction_policy=
        'evict_last')
    tmp6 = tl.load(in_ptr0 + (48 + x0 + 64 * x2), xmask, eviction_policy=
        'evict_last')
    tmp3 = triton_helpers.maximum(tmp1, tmp2)
    tmp5 = triton_helpers.maximum(tmp3, tmp4)
    tmp7 = triton_helpers.maximum(tmp5, tmp6)
    tmp8 = tmp0 - tmp7
    tl.store(out_ptr0 + x3, tmp8, xmask)


@triton.jit
def triton_per_fused_max_mul_nll_loss2d_forward_rsub_sub_1(in_ptr0, in_ptr1,
    in_ptr2, out_ptr1, xnumel, rnumel, XBLOCK: tl.constexpr):
    RBLOCK: tl.constexpr = 64
    xoffset = tl.program_id(0) * XBLOCK
    xoffset + tl.arange(0, XBLOCK)[:, None]
    tl.full([XBLOCK, RBLOCK], True, tl.int1)
    rindex = tl.arange(0, RBLOCK)[None, :]
    tl.full([XBLOCK, RBLOCK], True, tl.int1)
    r0 = rindex % 16
    r1 = rindex // 16
    tmp0 = tl.load(in_ptr0 + (r0 + 64 * r1), None)
    tmp1 = tl.load(in_ptr1 + (r0 + 64 * r1), None)
    tmp7 = tl.load(in_ptr0 + (16 + r0 + 64 * r1), None)
    tmp8 = tl.load(in_ptr1 + (16 + r0 + 64 * r1), None)
    tmp27 = tl.load(in_ptr0 + (32 + r0 + 64 * r1), None)
    tmp28 = tl.load(in_ptr1 + (32 + r0 + 64 * r1), None)
    tmp46 = tl.load(in_ptr0 + (48 + r0 + 64 * r1), None)
    tmp47 = tl.load(in_ptr1 + (48 + r0 + 64 * r1), None)
    tmp74 = tl.load(in_ptr2 + (r0 + 64 * r1), None)
    tmp76 = tl.load(in_ptr2 + (16 + r0 + 64 * r1), None)
    tmp79 = tl.load(in_ptr2 + (32 + r0 + 64 * r1), None)
    tmp82 = tl.load(in_ptr2 + (48 + r0 + 64 * r1), None)
    tmp2 = 1.0
    tmp3 = tmp2 - tmp1
    tmp4 = 100000.0
    tmp5 = tmp3 * tmp4
    tmp6 = tmp0 - tmp5
    tmp9 = tmp2 - tmp8
    tmp10 = tmp9 * tmp4
    tmp11 = tmp7 - tmp10
    tmp12 = tmp6 > tmp11
    tmp13 = tmp6 == tmp11
    tmp14 = tmp6 != tmp6
    tmp15 = tmp11 != tmp11
    tmp16 = tmp14 > tmp15
    tmp17 = tmp12 | tmp16
    tmp18 = tmp14 & tmp15
    tmp19 = tmp13 | tmp18
    tmp20 = tl.full([1, 1], 0, tl.int64)
    tmp21 = tl.full([1, 1], 1, tl.int64)
    tmp22 = tmp20 < tmp21
    tmp23 = tmp19 & tmp22
    tmp24 = tmp17 | tmp23
    tmp25 = tl.where(tmp24, tmp6, tmp11)
    tmp26 = tl.where(tmp24, tmp20, tmp21)
    tmp29 = tmp2 - tmp28
    tmp30 = tmp29 * tmp4
    tmp31 = tmp27 - tmp30
    tmp32 = tmp25 > tmp31
    tmp33 = tmp25 == tmp31
    tmp34 = tmp25 != tmp25
    tmp35 = tmp31 != tmp31
    tmp36 = tmp34 > tmp35
    tmp37 = tmp32 | tmp36
    tmp38 = tmp34 & tmp35
    tmp39 = tmp33 | tmp38
    tmp40 = tl.full([1, 1], 2, tl.int64)
    tmp41 = tmp26 < tmp40
    tmp42 = tmp39 & tmp41
    tmp43 = tmp37 | tmp42
    tmp44 = tl.where(tmp43, tmp25, tmp31)
    tmp45 = tl.where(tmp43, tmp26, tmp40)
    tmp48 = tmp2 - tmp47
    tmp49 = tmp48 * tmp4
    tmp50 = tmp46 - tmp49
    tmp51 = tmp44 > tmp50
    tmp52 = tmp44 == tmp50
    tmp53 = tmp44 != tmp44
    tmp54 = tmp50 != tmp50
    tmp55 = tmp53 > tmp54
    tmp56 = tmp51 | tmp55
    tmp57 = tmp53 & tmp54
    tmp58 = tmp52 | tmp57
    tmp59 = tl.full([1, 1], 3, tl.int64)
    tmp60 = tmp45 < tmp59
    tmp61 = tmp58 & tmp60
    tmp62 = tmp56 | tmp61
    tl.where(tmp62, tmp44, tmp50)
    tmp64 = tl.where(tmp62, tmp45, tmp59)
    tmp65 = tl.full([1, 1], -100, tl.int64)
    tmp66 = tmp64 != tmp65
    tmp67 = tl.where(tmp66, tmp64, tmp20)
    tmp68 = tl.full([XBLOCK, RBLOCK], 4, tl.int32)
    tmp69 = tmp67 + tmp68
    tmp70 = tmp67 < 0
    tmp71 = tl.where(tmp70, tmp69, tmp67)
    tl.device_assert((0 <= tmp71) & (tmp71 < 4),
        'index out of bounds: 0 <= tmp71 < 4')
    tmp73 = tl.load(in_ptr2 + (r0 + 16 * tmp71 + 64 * r1), None)
    tmp75 = tl_math.exp(tmp74)
    tmp77 = tl_math.exp(tmp76)
    tmp78 = tmp75 + tmp77
    tmp80 = tl_math.exp(tmp79)
    tmp81 = tmp78 + tmp80
    tmp83 = tl_math.exp(tmp82)
    tmp84 = tmp81 + tmp83
    tmp85 = tl_math.log(tmp84)
    tmp86 = tmp73 - tmp85
    tmp87 = -tmp86
    tmp88 = 0.0
    tmp89 = tl.where(tmp66, tmp87, tmp88)
    tmp90 = tl.broadcast_to(tmp89, [XBLOCK, RBLOCK])
    tmp92 = tl.sum(tmp90, 1)[:, None]
    tl.store(out_ptr1 + tl.full([XBLOCK, 1], 0, tl.int32), tmp92, 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)
        buf1 = empty_strided_cuda((4, 4, 4, 4), (64, 16, 4, 1), torch.float32)
        get_raw_stream(0)
        triton_poi_fused__log_softmax_0[grid(256)](arg1_1, buf1, 256,
            XBLOCK=128, num_warps=4, num_stages=1)
        buf2 = empty_strided_cuda((), (), torch.float32)
        triton_per_fused_max_mul_nll_loss2d_forward_rsub_sub_1[grid(1)](arg1_1,
            arg0_1, buf1, buf2, 1, 64, XBLOCK=1, num_warps=2, num_stages=1)
        del arg0_1
        del arg1_1
        del buf1
    return buf2,


class partCENew(nn.Module):

    def __init__(self, if_average=False):
        super(partCENew, self).__init__()
        self.crit = nn.CrossEntropyLoss(size_average=if_average)
        self.maximum_score = 100000

    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: 0.027558