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_per_fused_max_0(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK: tl.
    constexpr):
    RBLOCK: tl.constexpr = 16
    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
    tmp0 = tl.load(in_ptr0 + 16 * r0, None, eviction_policy='evict_last')
    tmp1 = tl.load(in_ptr0 + (5 + 16 * r0), None, eviction_policy='evict_last')
    tmp3 = tl.load(in_ptr0 + (10 + 16 * r0), None, eviction_policy='evict_last'
        )
    tmp5 = tl.load(in_ptr0 + (15 + 16 * r0), None, eviction_policy='evict_last'
        )
    tmp2 = triton_helpers.maximum(tmp0, tmp1)
    tmp4 = triton_helpers.maximum(tmp2, tmp3)
    tmp6 = triton_helpers.maximum(tmp4, tmp5)
    tmp7 = tl.broadcast_to(tmp6, [XBLOCK, RBLOCK])
    tmp9 = triton_helpers.max2(tmp7, 1)[:, None]
    tl.store(out_ptr0 + tl.full([XBLOCK, 1], 0, tl.int32), tmp9, None)


@triton.jit
def triton_per_fused_max_mul_1(in_ptr0, out_ptr0, xnumel, rnumel):
    XBLOCK: tl.constexpr = 1
    RBLOCK: tl.constexpr = 256
    xoffset = tl.program_id(0) * XBLOCK
    tl.full([1], xoffset, tl.int32)
    tl.full([RBLOCK], True, tl.int1)
    rindex = tl.arange(0, RBLOCK)[:]
    tl.full([RBLOCK], True, tl.int1)
    r0 = rindex
    tmp0 = tl.load(in_ptr0 + r0, None)
    tmp1 = -1.0
    tmp2 = tmp0 * tmp1
    tmp3 = tl.broadcast_to(tmp2, [RBLOCK])
    tmp5 = triton_helpers.promote_to_tensor(triton_helpers.max2(tmp3, 0))
    tl.store(out_ptr0 + tl.full([1], 0, tl.int32), tmp5, None)


@triton.jit
def triton_poi_fused_max_sub_2(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 64
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex % 4
    x1 = xindex // 4
    x2 = xindex
    tmp0 = tl.load(in_ptr0 + (x0 + 16 * x1), xmask)
    tmp4 = tl.load(in_ptr0 + 4 * x0, xmask, eviction_policy='evict_last')
    tmp8 = tl.load(in_ptr1 + 0)
    tmp9 = tl.broadcast_to(tmp8, [XBLOCK])
    tmp10 = tl.load(in_ptr2 + 0)
    tmp11 = tl.broadcast_to(tmp10, [XBLOCK])
    tmp16 = tl.load(in_ptr0 + (4 + x0 + 16 * x1), xmask)
    tmp19 = tl.load(in_ptr0 + (1 + 4 * x0), xmask, eviction_policy='evict_last'
        )
    tmp25 = tl.load(in_ptr0 + (8 + x0 + 16 * x1), xmask)
    tmp28 = tl.load(in_ptr0 + (2 + 4 * x0), xmask, eviction_policy='evict_last'
        )
    tmp34 = tl.load(in_ptr0 + (12 + x0 + 16 * x1), xmask)
    tmp37 = tl.load(in_ptr0 + (3 + 4 * x0), xmask, eviction_policy='evict_last'
        )
    tmp1 = tl.full([1], 0, tl.int64)
    tmp2 = x0
    tmp3 = tmp1 == tmp2
    tmp5 = 0.0
    tmp6 = tl.where(tmp3, tmp4, tmp5)
    tmp7 = tmp6 * tmp5
    tmp12 = tmp9 + tmp11
    tmp13 = tl_math.abs(tmp12)
    tmp14 = tmp7 + tmp13
    tmp15 = tmp0 - tmp14
    tmp17 = tl.full([1], 1, tl.int64)
    tmp18 = tmp17 == tmp2
    tmp20 = tl.where(tmp18, tmp19, tmp5)
    tmp21 = tmp20 * tmp5
    tmp22 = tmp21 + tmp13
    tmp23 = tmp16 - tmp22
    tmp24 = triton_helpers.maximum(tmp15, tmp23)
    tmp26 = tl.full([1], 2, tl.int64)
    tmp27 = tmp26 == tmp2
    tmp29 = tl.where(tmp27, tmp28, tmp5)
    tmp30 = tmp29 * tmp5
    tmp31 = tmp30 + tmp13
    tmp32 = tmp25 - tmp31
    tmp33 = triton_helpers.maximum(tmp24, tmp32)
    tmp35 = tl.full([1], 3, tl.int64)
    tmp36 = tmp35 == tmp2
    tmp38 = tl.where(tmp36, tmp37, tmp5)
    tmp39 = tmp38 * tmp5
    tmp40 = tmp39 + tmp13
    tmp41 = tmp34 - tmp40
    tmp42 = triton_helpers.maximum(tmp33, tmp41)
    tl.store(out_ptr0 + x2, tmp42, xmask)


@triton.jit
def triton_poi_fused_cat_3(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK: tl.
    constexpr):
    xnumel = 32
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex % 8
    x1 = xindex // 8
    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 + (16 * x0 + 64 * x1), tmp4 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp6 = tl.load(in_ptr0 + (5 + 16 * x0 + 64 * x1), tmp4 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp7 = triton_helpers.maximum(tmp5, tmp6)
    tmp8 = tl.load(in_ptr0 + (10 + 16 * x0 + 64 * x1), tmp4 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp9 = triton_helpers.maximum(tmp7, tmp8)
    tmp10 = tl.load(in_ptr0 + (15 + 16 * x0 + 64 * x1), tmp4 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp11 = triton_helpers.maximum(tmp9, tmp10)
    tmp12 = tl.full(tmp11.shape, 0.0, tmp11.dtype)
    tmp13 = tl.where(tmp4, tmp11, tmp12)
    tmp14 = tmp0 >= tmp3
    tl.full([1], 8, tl.int64)
    tmp17 = tl.load(in_ptr1 + (4 * (-4 + x0) + 16 * x1), tmp14 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp18 = tl.load(in_ptr1 + (1 + 4 * (-4 + x0) + 16 * x1), tmp14 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp19 = triton_helpers.maximum(tmp17, tmp18)
    tmp20 = tl.load(in_ptr1 + (2 + 4 * (-4 + x0) + 16 * x1), tmp14 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp21 = triton_helpers.maximum(tmp19, tmp20)
    tmp22 = tl.load(in_ptr1 + (3 + 4 * (-4 + x0) + 16 * x1), tmp14 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp23 = triton_helpers.maximum(tmp21, tmp22)
    tmp24 = tl.full(tmp23.shape, 0.0, tmp23.dtype)
    tmp25 = tl.where(tmp14, tmp23, tmp24)
    tmp26 = tl.where(tmp4, tmp13, tmp25)
    tl.store(out_ptr0 + x2, tmp26, 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((), (), torch.float32)
        get_raw_stream(0)
        triton_per_fused_max_0[grid(1)](arg0_1, buf0, 1, 16, XBLOCK=1,
            num_warps=2, num_stages=1)
        buf1 = empty_strided_cuda((), (), torch.float32)
        triton_per_fused_max_mul_1[grid(1)](arg0_1, buf1, 1, 256, num_warps
            =2, num_stages=1)
        buf2 = empty_strided_cuda((4, 4, 4), (16, 4, 1), torch.float32)
        triton_poi_fused_max_sub_2[grid(64)](arg0_1, buf0, buf1, buf2, 64,
            XBLOCK=64, num_warps=1, num_stages=1)
        del buf0
        del buf1
        buf3 = empty_strided_cuda((4, 8), (8, 1), torch.float32)
        triton_poi_fused_cat_3[grid(32)](arg0_1, buf2, buf3, 32, XBLOCK=32,
            num_warps=1, num_stages=1)
        del arg0_1
        del buf2
    return buf3,


class diag_offdiag_maxpoolNew(torch.nn.Module):
    """diag_offdiag_maxpool"""

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

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


Measured latency_ms: 0.052999