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__log_softmax_0(in_ptr0, out_ptr0, out_ptr1, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 256
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x5 = xindex
    x0 = xindex % 16
    x2 = xindex // 64
    x4 = xindex // 4
    tmp0 = tl.load(in_ptr0 + x5, 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')
    tmp9 = tl.load(in_ptr0 + 4 * x4, xmask, eviction_policy='evict_last')
    tmp10 = tl.load(in_ptr0 + (1 + 4 * x4), xmask, eviction_policy='evict_last'
        )
    tmp12 = tl.load(in_ptr0 + (2 + 4 * x4), xmask, eviction_policy='evict_last'
        )
    tmp14 = tl.load(in_ptr0 + (3 + 4 * x4), 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
    tmp11 = triton_helpers.maximum(tmp9, tmp10)
    tmp13 = triton_helpers.maximum(tmp11, tmp12)
    tmp15 = triton_helpers.maximum(tmp13, tmp14)
    tmp16 = tmp0 - tmp15
    tl.store(out_ptr0 + x5, tmp8, xmask)
    tl.store(out_ptr1 + x5, tmp16, xmask)


@triton.jit
def triton_per_fused__log_softmax_add_div_mean_mul_neg_sum_1(in_out_ptr1,
    in_ptr0, in_ptr1, in_ptr2, 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
    r1 = rindex % 16
    r2 = rindex // 16
    tmp0 = tl.load(in_ptr0 + 4 * r0, None, eviction_policy='evict_last')
    tmp2 = tl.load(in_ptr0 + (1 + 4 * r0), None, eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr0 + (2 + 4 * r0), None, eviction_policy='evict_last')
    tmp8 = tl.load(in_ptr0 + (3 + 4 * r0), None, eviction_policy='evict_last')
    tmp31 = tl.load(in_ptr1 + (r1 + 64 * r2), None)
    tmp33 = tl.load(in_ptr1 + (16 + r1 + 64 * r2), None)
    tmp36 = tl.load(in_ptr1 + (32 + r1 + 64 * r2), None)
    tmp39 = tl.load(in_ptr1 + (48 + r1 + 64 * r2), None)
    tmp44 = tl.load(in_ptr2 + (r1 + 64 * r2), None)
    tmp47 = tl.load(in_ptr2 + (16 + r1 + 64 * r2), None)
    tmp51 = tl.load(in_ptr2 + (32 + r1 + 64 * r2), None)
    tmp55 = tl.load(in_ptr2 + (48 + r1 + 64 * r2), None)
    tmp1 = tl_math.exp(tmp0)
    tmp3 = tl_math.exp(tmp2)
    tmp4 = tmp1 + tmp3
    tmp6 = tl_math.exp(tmp5)
    tmp7 = tmp4 + tmp6
    tmp9 = tl_math.exp(tmp8)
    tmp10 = tmp7 + tmp9
    tmp11 = tl_math.log(tmp10)
    tmp12 = tmp0 - tmp11
    tmp13 = -1.0
    tmp14 = tmp12 * tmp13
    tmp15 = 0.006172839552164078
    tmp16 = tmp14 * tmp15
    tmp17 = tmp2 - tmp11
    tmp18 = tmp17 * tmp13
    tmp19 = tmp18 * tmp15
    tmp20 = tmp16 + tmp19
    tmp21 = tmp5 - tmp11
    tmp22 = tmp21 * tmp13
    tmp23 = tmp22 * tmp15
    tmp24 = tmp20 + tmp23
    tmp25 = tmp8 - tmp11
    tmp26 = tmp25 * tmp13
    tmp27 = tmp26 * tmp15
    tmp28 = tmp24 + tmp27
    tmp29 = 0.1
    tmp30 = tmp28 * tmp29
    tmp32 = tl_math.exp(tmp31)
    tmp34 = tl_math.exp(tmp33)
    tmp35 = tmp32 + tmp34
    tmp37 = tl_math.exp(tmp36)
    tmp38 = tmp35 + tmp37
    tmp40 = tl_math.exp(tmp39)
    tmp41 = tmp38 + tmp40
    tmp42 = tl_math.log(tmp41)
    tmp43 = tmp31 - tmp42
    tmp45 = tmp43 * tmp44
    tmp46 = tmp33 - tmp42
    tmp48 = tmp46 * tmp47
    tmp49 = tmp45 + tmp48
    tmp50 = tmp36 - tmp42
    tmp52 = tmp50 * tmp51
    tmp53 = tmp49 + tmp52
    tmp54 = tmp39 - tmp42
    tmp56 = tmp54 * tmp55
    tmp57 = tmp53 + tmp56
    tmp58 = -tmp57
    tmp59 = 0.9
    tmp60 = tmp58 * tmp59
    tmp61 = tmp60 + tmp30
    tmp62 = tl.broadcast_to(tmp61, [XBLOCK, RBLOCK])
    tmp64 = tl.sum(tmp62, 1)[:, None]
    tmp65 = 64.0
    tmp66 = tmp64 / tmp65
    tl.debug_barrier()
    tl.store(in_out_ptr1 + tl.full([XBLOCK, 1], 0, tl.int32), tmp66, 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)
        buf0 = empty_strided_cuda((4, 4, 4, 4), (64, 16, 4, 1), torch.float32)
        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)](arg0_1, buf0, buf1, 256,
            XBLOCK=128, num_warps=4, num_stages=1)
        del arg0_1
        buf4 = empty_strided_cuda((), (), torch.float32)
        buf5 = buf4
        del buf4
        triton_per_fused__log_softmax_add_div_mean_mul_neg_sum_1[grid(1)](buf5,
            buf1, buf0, arg1_1, 1, 64, XBLOCK=1, num_warps=2, num_stages=1)
        del arg1_1
        del buf0
        del buf1
    return buf5,


class LSRNew(nn.Module):

    def __init__(self, epsilon=0.1, num_classes=162):
        super(LSRNew, self).__init__()
        self._epsilon = epsilon
        self._num_classes = num_classes

    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: 0.029988