import torch
import torch.nn.functional as F


class MultiAttributeLoss(torch.nn.Module):

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

    def forward(self, input, target):
        product = 1
        count = len(input)
        for i in range(count):
            attribute_loss = F.cross_entropy(input[i], target[i])
            product *= attribute_loss
        geometric_mean = torch.pow(product, count)
        return geometric_mean


def get_inputs():
    return [torch.rand([4, 4, 4, 4]), torch.rand([4, 4, 4, 4])]


def get_init_inputs():
    return [[], {}]

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
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 = 64
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x3 = xindex
    x0 = xindex % 4
    x2 = xindex // 16
    tmp0 = tl.load(in_ptr0 + x3, xmask)
    tmp1 = tl.load(in_ptr0 + (x0 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp2 = tl.load(in_ptr0 + (4 + x0 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp4 = tl.load(in_ptr0 + (8 + x0 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp6 = tl.load(in_ptr0 + (12 + x0 + 16 * 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_poi_fused__log_softmax_1(in_ptr0, 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
    x0 = xindex % 4
    x2 = xindex // 16
    tmp0 = tl.load(in_ptr0 + (64 + x3), xmask)
    tmp1 = tl.load(in_ptr0 + (64 + x0 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp2 = tl.load(in_ptr0 + (68 + x0 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp4 = tl.load(in_ptr0 + (72 + x0 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp6 = tl.load(in_ptr0 + (76 + x0 + 16 * 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_poi_fused__log_softmax_2(in_ptr0, 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
    x0 = xindex % 4
    x2 = xindex // 16
    tmp0 = tl.load(in_ptr0 + (128 + x3), xmask)
    tmp1 = tl.load(in_ptr0 + (128 + x0 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp2 = tl.load(in_ptr0 + (132 + x0 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp4 = tl.load(in_ptr0 + (136 + x0 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp6 = tl.load(in_ptr0 + (140 + x0 + 16 * 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_poi_fused__log_softmax_3(in_ptr0, 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
    x0 = xindex % 4
    x2 = xindex // 16
    tmp0 = tl.load(in_ptr0 + (192 + x3), xmask)
    tmp1 = tl.load(in_ptr0 + (192 + x0 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp2 = tl.load(in_ptr0 + (196 + x0 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp4 = tl.load(in_ptr0 + (200 + x0 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp6 = tl.load(in_ptr0 + (204 + x0 + 16 * 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__log_softmax_div_mul_neg_pow_sum_4(in_out_ptr0,
    in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, 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)
    r3 = rindex
    r0 = rindex % 4
    r2 = rindex // 16
    tmp0 = tl.load(in_ptr0 + r3, None)
    tmp1 = tl.load(in_ptr0 + (r0 + 16 * r2), None, eviction_policy='evict_last'
        )
    tmp3 = tl.load(in_ptr0 + (4 + r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp6 = tl.load(in_ptr0 + (8 + r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp9 = tl.load(in_ptr0 + (12 + r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp14 = tl.load(in_ptr1 + r3, None)
    tmp19 = tl.load(in_ptr2 + r3, None)
    tmp20 = tl.load(in_ptr2 + (r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp22 = tl.load(in_ptr2 + (4 + r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp25 = tl.load(in_ptr2 + (8 + r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp28 = tl.load(in_ptr2 + (12 + r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp33 = tl.load(in_ptr1 + (64 + r3), None)
    tmp38 = tl.load(in_ptr3 + r3, None)
    tmp39 = tl.load(in_ptr3 + (r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp41 = tl.load(in_ptr3 + (4 + r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp44 = tl.load(in_ptr3 + (8 + r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp47 = tl.load(in_ptr3 + (12 + r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp52 = tl.load(in_ptr1 + (128 + r3), None)
    tmp57 = tl.load(in_ptr4 + r3, None)
    tmp58 = tl.load(in_ptr4 + (r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp60 = tl.load(in_ptr4 + (4 + r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp63 = tl.load(in_ptr4 + (8 + r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp66 = tl.load(in_ptr4 + (12 + r0 + 16 * r2), None, eviction_policy=
        'evict_last')
    tmp71 = tl.load(in_ptr1 + (192 + r3), None)
    tmp2 = tl_math.exp(tmp1)
    tmp4 = tl_math.exp(tmp3)
    tmp5 = tmp2 + tmp4
    tmp7 = tl_math.exp(tmp6)
    tmp8 = tmp5 + tmp7
    tmp10 = tl_math.exp(tmp9)
    tmp11 = tmp8 + tmp10
    tmp12 = tl_math.log(tmp11)
    tmp13 = tmp0 - tmp12
    tmp15 = tmp13 * tmp14
    tmp16 = tl.broadcast_to(tmp15, [XBLOCK, RBLOCK])
    tmp18 = tl.sum(tmp16, 1)[:, None]
    tmp21 = tl_math.exp(tmp20)
    tmp23 = tl_math.exp(tmp22)
    tmp24 = tmp21 + tmp23
    tmp26 = tl_math.exp(tmp25)
    tmp27 = tmp24 + tmp26
    tmp29 = tl_math.exp(tmp28)
    tmp30 = tmp27 + tmp29
    tmp31 = tl_math.log(tmp30)
    tmp32 = tmp19 - tmp31
    tmp34 = tmp32 * tmp33
    tmp35 = tl.broadcast_to(tmp34, [XBLOCK, RBLOCK])
    tmp37 = tl.sum(tmp35, 1)[:, None]
    tmp40 = tl_math.exp(tmp39)
    tmp42 = tl_math.exp(tmp41)
    tmp43 = tmp40 + tmp42
    tmp45 = tl_math.exp(tmp44)
    tmp46 = tmp43 + tmp45
    tmp48 = tl_math.exp(tmp47)
    tmp49 = tmp46 + tmp48
    tmp50 = tl_math.log(tmp49)
    tmp51 = tmp38 - tmp50
    tmp53 = tmp51 * tmp52
    tmp54 = tl.broadcast_to(tmp53, [XBLOCK, RBLOCK])
    tmp56 = tl.sum(tmp54, 1)[:, None]
    tmp59 = tl_math.exp(tmp58)
    tmp61 = tl_math.exp(tmp60)
    tmp62 = tmp59 + tmp61
    tmp64 = tl_math.exp(tmp63)
    tmp65 = tmp62 + tmp64
    tmp67 = tl_math.exp(tmp66)
    tmp68 = tmp65 + tmp67
    tmp69 = tl_math.log(tmp68)
    tmp70 = tmp57 - tmp69
    tmp72 = tmp70 * tmp71
    tmp73 = tl.broadcast_to(tmp72, [XBLOCK, RBLOCK])
    tmp75 = tl.sum(tmp73, 1)[:, None]
    tmp76 = -tmp18
    tmp77 = 0.0625
    tmp78 = tmp76 * tmp77
    tmp79 = 1.0
    tmp80 = tmp78 * tmp79
    tmp81 = -tmp37
    tmp82 = tmp81 * tmp77
    tmp83 = tmp80 * tmp82
    tmp84 = -tmp56
    tmp85 = tmp84 * tmp77
    tmp86 = tmp83 * tmp85
    tmp87 = -tmp75
    tmp88 = tmp87 * tmp77
    tmp89 = tmp86 * tmp88
    tmp90 = tmp89 * tmp89
    tmp91 = tmp90 * tmp90
    tl.debug_barrier()
    tl.store(in_out_ptr0 + tl.full([XBLOCK, 1], 0, tl.int32), tmp91, 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), (16, 4, 1), torch.float32)
        get_raw_stream(0)
        triton_poi_fused__log_softmax_0[grid(64)](arg0_1, buf0, 64, XBLOCK=
            64, num_warps=1, num_stages=1)
        buf2 = empty_strided_cuda((4, 4, 4), (16, 4, 1), torch.float32)
        triton_poi_fused__log_softmax_1[grid(64)](arg0_1, buf2, 64, XBLOCK=
            64, num_warps=1, num_stages=1)
        buf4 = empty_strided_cuda((4, 4, 4), (16, 4, 1), torch.float32)
        triton_poi_fused__log_softmax_2[grid(64)](arg0_1, buf4, 64, XBLOCK=
            64, num_warps=1, num_stages=1)
        buf6 = empty_strided_cuda((4, 4, 4), (16, 4, 1), torch.float32)
        triton_poi_fused__log_softmax_3[grid(64)](arg0_1, buf6, 64, XBLOCK=
            64, num_warps=1, num_stages=1)
        del arg0_1
        buf1 = empty_strided_cuda((), (), torch.float32)
        buf8 = buf1
        del buf1
        triton_per_fused__log_softmax_div_mul_neg_pow_sum_4[grid(1)](buf8,
            buf0, arg1_1, buf2, buf4, buf6, 1, 64, XBLOCK=1, num_warps=2,
            num_stages=1)
        del arg1_1
        del buf0
        del buf2
        del buf4
        del buf6
    return buf8,


class MultiAttributeLossNew(torch.nn.Module):

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

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