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
reinterpret_tensor = torch._C._dynamo.guards._reinterpret_tensor


@triton.jit
def triton_poi_fused__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
    x2 = xindex
    x0 = xindex % 16
    tmp0 = tl.load(in_ptr0 + x2, xmask)
    tmp1 = tl.load(in_ptr0 + x0, xmask, eviction_policy='evict_last')
    tmp2 = tl.load(in_ptr0 + (16 + x0), xmask, eviction_policy='evict_last')
    tmp4 = tl.load(in_ptr0 + (32 + x0), xmask, eviction_policy='evict_last')
    tmp6 = tl.load(in_ptr0 + (48 + x0), 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
    tmp9 = tl_math.exp(tmp8)
    tl.store(out_ptr0 + x2, tmp9, xmask)


@triton.jit
def triton_poi_fused__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
    x2 = xindex
    x0 = xindex % 16
    tmp0 = tl.load(in_ptr0 + (64 + x2), xmask)
    tmp1 = tl.load(in_ptr0 + (64 + x0), xmask, eviction_policy='evict_last')
    tmp2 = tl.load(in_ptr0 + (80 + x0), xmask, eviction_policy='evict_last')
    tmp4 = tl.load(in_ptr0 + (96 + x0), xmask, eviction_policy='evict_last')
    tmp6 = tl.load(in_ptr0 + (112 + x0), 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
    tmp9 = tl_math.exp(tmp8)
    tl.store(out_ptr0 + x2, tmp9, xmask)


@triton.jit
def triton_poi_fused__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
    x2 = xindex
    x0 = xindex % 16
    tmp0 = tl.load(in_ptr0 + (128 + x2), xmask)
    tmp1 = tl.load(in_ptr0 + (128 + x0), xmask, eviction_policy='evict_last')
    tmp2 = tl.load(in_ptr0 + (144 + x0), xmask, eviction_policy='evict_last')
    tmp4 = tl.load(in_ptr0 + (160 + x0), xmask, eviction_policy='evict_last')
    tmp6 = tl.load(in_ptr0 + (176 + x0), 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
    tmp9 = tl_math.exp(tmp8)
    tl.store(out_ptr0 + x2, tmp9, xmask)


@triton.jit
def triton_poi_fused__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
    x2 = xindex
    x0 = xindex % 16
    tmp0 = tl.load(in_ptr0 + (192 + x2), xmask)
    tmp1 = tl.load(in_ptr0 + (192 + x0), xmask, eviction_policy='evict_last')
    tmp2 = tl.load(in_ptr0 + (208 + x0), xmask, eviction_policy='evict_last')
    tmp4 = tl.load(in_ptr0 + (224 + x0), xmask, eviction_policy='evict_last')
    tmp6 = tl.load(in_ptr0 + (240 + x0), 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
    tmp9 = tl_math.exp(tmp8)
    tl.store(out_ptr0 + x2, tmp9, xmask)


@triton.jit
def triton_poi_fused_stack_4(in_ptr0, in_ptr1, in_ptr2, in_ptr3, out_ptr0,
    xnumel, XBLOCK: tl.constexpr):
    xnumel = 256
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x1 = xindex // 16
    x0 = xindex % 16
    x2 = xindex
    tmp0 = x1
    tl.full([1], 0, tl.int64)
    tmp3 = tl.full([1], 4, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tl.load(in_ptr0 + (x0 + 16 * x1), tmp4 & xmask, other=0.0)
    tmp6 = tl.load(in_ptr0 + x0, tmp4 & xmask, eviction_policy='evict_last',
        other=0.0)
    tmp7 = tl.load(in_ptr0 + (16 + x0), tmp4 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp8 = tmp6 + tmp7
    tmp9 = tl.load(in_ptr0 + (32 + x0), tmp4 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp10 = tmp8 + tmp9
    tmp11 = tl.load(in_ptr0 + (48 + x0), tmp4 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp12 = tmp10 + tmp11
    tmp13 = tmp5 / tmp12
    tmp14 = tl.full(tmp13.shape, 0.0, tmp13.dtype)
    tmp15 = tl.where(tmp4, tmp13, tmp14)
    tmp16 = tmp0 >= tmp3
    tmp17 = tl.full([1], 8, tl.int64)
    tmp18 = tmp0 < tmp17
    tmp19 = tmp16 & tmp18
    tmp20 = tl.load(in_ptr1 + (x0 + 16 * (-4 + x1)), tmp19 & xmask, other=0.0)
    tmp21 = tl.load(in_ptr1 + x0, tmp19 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp22 = tl.load(in_ptr1 + (16 + x0), tmp19 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp23 = tmp21 + tmp22
    tmp24 = tl.load(in_ptr1 + (32 + x0), tmp19 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp25 = tmp23 + tmp24
    tmp26 = tl.load(in_ptr1 + (48 + x0), tmp19 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp27 = tmp25 + tmp26
    tmp28 = tmp20 / tmp27
    tmp29 = tl.full(tmp28.shape, 0.0, tmp28.dtype)
    tmp30 = tl.where(tmp19, tmp28, tmp29)
    tmp31 = tmp0 >= tmp17
    tmp32 = tl.full([1], 12, tl.int64)
    tmp33 = tmp0 < tmp32
    tmp34 = tmp31 & tmp33
    tmp35 = tl.load(in_ptr2 + (x0 + 16 * (-8 + x1)), tmp34 & xmask, other=0.0)
    tmp36 = tl.load(in_ptr2 + x0, tmp34 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp37 = tl.load(in_ptr2 + (16 + x0), tmp34 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp38 = tmp36 + tmp37
    tmp39 = tl.load(in_ptr2 + (32 + x0), tmp34 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp40 = tmp38 + tmp39
    tmp41 = tl.load(in_ptr2 + (48 + x0), tmp34 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp42 = tmp40 + tmp41
    tmp43 = tmp35 / tmp42
    tmp44 = tl.full(tmp43.shape, 0.0, tmp43.dtype)
    tmp45 = tl.where(tmp34, tmp43, tmp44)
    tmp46 = tmp0 >= tmp32
    tl.full([1], 16, tl.int64)
    tmp49 = tl.load(in_ptr3 + (x0 + 16 * (-12 + x1)), tmp46 & xmask, other=0.0)
    tmp50 = tl.load(in_ptr3 + x0, tmp46 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp51 = tl.load(in_ptr3 + (16 + x0), tmp46 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp52 = tmp50 + tmp51
    tmp53 = tl.load(in_ptr3 + (32 + x0), tmp46 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp54 = tmp52 + tmp53
    tmp55 = tl.load(in_ptr3 + (48 + x0), tmp46 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp56 = tmp54 + tmp55
    tmp57 = tmp49 / tmp56
    tmp58 = tl.full(tmp57.shape, 0.0, tmp57.dtype)
    tmp59 = tl.where(tmp46, tmp57, tmp58)
    tmp60 = tl.where(tmp34, tmp45, tmp59)
    tmp61 = tl.where(tmp19, tmp30, tmp60)
    tmp62 = tl.where(tmp4, tmp15, tmp61)
    tl.store(out_ptr0 + x2, tmp62, xmask)


def call(args):
    arg0_1, = args
    args.clear()
    assert_size_stride(arg0_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__softmax_0[grid(64)](arg0_1, buf0, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf1 = empty_strided_cuda((4, 4, 4), (16, 4, 1), torch.float32)
        triton_poi_fused__softmax_1[grid(64)](arg0_1, buf1, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf2 = empty_strided_cuda((4, 4, 4), (16, 4, 1), torch.float32)
        triton_poi_fused__softmax_2[grid(64)](arg0_1, buf2, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf3 = empty_strided_cuda((4, 4, 4), (16, 4, 1), torch.float32)
        triton_poi_fused__softmax_3[grid(64)](arg0_1, buf3, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        del arg0_1
        buf4 = empty_strided_cuda((16, 4, 4), (16, 4, 1), torch.float32)
        triton_poi_fused_stack_4[grid(256)](buf0, buf1, buf2, buf3, buf4, 
            256, XBLOCK=128, num_warps=4, num_stages=1)
        del buf0
        del buf1
        del buf2
        del buf3
    return reinterpret_tensor(buf4, (4, 4, 4, 4), (64, 16, 4, 1), 0),


class MySoftmaxNew(nn.Module):

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


Measured latency_ms: 0.015711