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.triton_helpers import math as tl_math
import torch.nn as nn
import torch.nn.parallel
import torch.optim
import torch.utils.data
import torch.utils.data.distributed
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cuda = torch._C._dynamo.guards._empty_strided_cuda
reinterpret_tensor = torch._C._dynamo.guards._reinterpret_tensor


@triton.jit
def triton_poi_fused_stack_0(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK: tl
    .constexpr):
    xnumel = 256
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex % 16
    x1 = xindex // 16
    x2 = xindex
    tmp0 = x0
    tl.full([1], 0, tl.int64)
    tmp3 = tl.full([1], 4, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tl.load(in_ptr0 + (1 + 4 * x0 + 16 * x1), tmp4 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp6 = tl.load(in_ptr1 + (3 + 4 * x0 + 16 * x1), tmp4 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp7 = tl.load(in_ptr1 + (1 + 4 * x0 + 16 * x1), tmp4 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp8 = tmp6 - tmp7
    tmp9 = tmp5 * tmp8
    tmp10 = tmp7 + tmp6
    tmp11 = 0.5
    tmp12 = tmp10 * tmp11
    tmp13 = tmp9 + tmp12
    tmp14 = tl.load(in_ptr0 + (3 + 4 * x0 + 16 * x1), tmp4 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp15 = tl_math.exp(tmp14)
    tmp16 = tmp15 * tmp8
    tmp17 = tmp16 * tmp11
    tmp18 = tmp13 - tmp17
    tmp19 = tl.full(tmp18.shape, 0.0, tmp18.dtype)
    tmp20 = tl.where(tmp4, tmp18, tmp19)
    tmp21 = tmp0 >= tmp3
    tmp22 = tl.full([1], 8, tl.int64)
    tmp23 = tmp0 < tmp22
    tmp24 = tmp21 & tmp23
    tmp25 = tl.load(in_ptr0 + (4 * (-4 + x0) + 16 * x1), tmp24 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp26 = tl.load(in_ptr1 + (2 + 4 * (-4 + x0) + 16 * x1), tmp24 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp27 = tl.load(in_ptr1 + (4 * (-4 + x0) + 16 * x1), tmp24 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp28 = tmp26 - tmp27
    tmp29 = tmp25 * tmp28
    tmp30 = tmp27 + tmp26
    tmp31 = tmp30 * tmp11
    tmp32 = tmp29 + tmp31
    tmp33 = tl.load(in_ptr0 + (2 + 4 * (-4 + x0) + 16 * x1), tmp24 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp34 = tl_math.exp(tmp33)
    tmp35 = tmp34 * tmp28
    tmp36 = tmp35 * tmp11
    tmp37 = tmp32 - tmp36
    tmp38 = tl.full(tmp37.shape, 0.0, tmp37.dtype)
    tmp39 = tl.where(tmp24, tmp37, tmp38)
    tmp40 = tmp0 >= tmp22
    tmp41 = tl.full([1], 12, tl.int64)
    tmp42 = tmp0 < tmp41
    tmp43 = tmp40 & tmp42
    tmp44 = tl.load(in_ptr0 + (1 + 4 * (-8 + x0) + 16 * x1), tmp43 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp45 = tl.load(in_ptr1 + (3 + 4 * (-8 + x0) + 16 * x1), tmp43 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp46 = tl.load(in_ptr1 + (1 + 4 * (-8 + x0) + 16 * x1), tmp43 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp47 = tmp45 - tmp46
    tmp48 = tmp44 * tmp47
    tmp49 = tmp46 + tmp45
    tmp50 = tmp49 * tmp11
    tmp51 = tmp48 + tmp50
    tmp52 = tl.load(in_ptr0 + (3 + 4 * (-8 + x0) + 16 * x1), tmp43 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp53 = tl_math.exp(tmp52)
    tmp54 = tmp53 * tmp47
    tmp55 = tmp54 * tmp11
    tmp56 = tmp51 + tmp55
    tmp57 = tl.full(tmp56.shape, 0.0, tmp56.dtype)
    tmp58 = tl.where(tmp43, tmp56, tmp57)
    tmp59 = tmp0 >= tmp41
    tl.full([1], 16, tl.int64)
    tmp62 = tl.load(in_ptr0 + (4 * (-12 + x0) + 16 * x1), tmp59 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp63 = tl.load(in_ptr1 + (2 + 4 * (-12 + x0) + 16 * x1), tmp59 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp64 = tl.load(in_ptr1 + (4 * (-12 + x0) + 16 * x1), tmp59 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp65 = tmp63 - tmp64
    tmp66 = tmp62 * tmp65
    tmp67 = tmp64 + tmp63
    tmp68 = tmp67 * tmp11
    tmp69 = tmp66 + tmp68
    tmp70 = tl.load(in_ptr0 + (2 + 4 * (-12 + x0) + 16 * x1), tmp59 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp71 = tl_math.exp(tmp70)
    tmp72 = tmp71 * tmp65
    tmp73 = tmp72 * tmp11
    tmp74 = tmp69 + tmp73
    tmp75 = tl.full(tmp74.shape, 0.0, tmp74.dtype)
    tmp76 = tl.where(tmp59, tmp74, tmp75)
    tmp77 = tl.where(tmp43, tmp58, tmp76)
    tmp78 = tl.where(tmp24, tmp39, tmp77)
    tmp79 = tl.where(tmp4, tmp20, tmp78)
    tl.store(out_ptr0 + x2, tmp79, xmask)


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, 16), (64, 16, 1), torch.float32)
        get_raw_stream(0)
        triton_poi_fused_stack_0[grid(256)](arg1_1, arg0_1, buf0, 256,
            XBLOCK=128, num_warps=4, num_stages=1)
        del arg0_1
        del arg1_1
    return reinterpret_tensor(buf0, (4, 4, 4, 4), (64, 16, 4, 1), 0),


class BBoxTransformNew(nn.Module):

    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: 0.015841