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
import torch.optim
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_max_0(in_ptr0, out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 16
    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 + 64 * x1), xmask)
    tmp1 = tl.load(in_ptr0 + (16 + x0 + 64 * x1), xmask)
    tmp3 = tl.load(in_ptr0 + (32 + x0 + 64 * x1), xmask)
    tmp5 = tl.load(in_ptr0 + (48 + x0 + 64 * x1), xmask)
    tmp7 = tl.load(in_ptr0 + (4 + x0 + 64 * x1), xmask)
    tmp8 = tl.load(in_ptr0 + (20 + x0 + 64 * x1), xmask)
    tmp10 = tl.load(in_ptr0 + (36 + x0 + 64 * x1), xmask)
    tmp12 = tl.load(in_ptr0 + (52 + x0 + 64 * x1), xmask)
    tmp15 = tl.load(in_ptr0 + (8 + x0 + 64 * x1), xmask)
    tmp16 = tl.load(in_ptr0 + (24 + x0 + 64 * x1), xmask)
    tmp18 = tl.load(in_ptr0 + (40 + x0 + 64 * x1), xmask)
    tmp20 = tl.load(in_ptr0 + (56 + x0 + 64 * x1), xmask)
    tmp23 = tl.load(in_ptr0 + (12 + x0 + 64 * x1), xmask)
    tmp24 = tl.load(in_ptr0 + (28 + x0 + 64 * x1), xmask)
    tmp26 = tl.load(in_ptr0 + (44 + x0 + 64 * x1), xmask)
    tmp28 = tl.load(in_ptr0 + (60 + x0 + 64 * x1), xmask)
    tmp2 = triton_helpers.maximum(tmp0, tmp1)
    tmp4 = triton_helpers.maximum(tmp2, tmp3)
    tmp6 = triton_helpers.maximum(tmp4, tmp5)
    tmp9 = triton_helpers.maximum(tmp7, tmp8)
    tmp11 = triton_helpers.maximum(tmp9, tmp10)
    tmp13 = triton_helpers.maximum(tmp11, tmp12)
    tmp14 = triton_helpers.maximum(tmp6, tmp13)
    tmp17 = triton_helpers.maximum(tmp15, tmp16)
    tmp19 = triton_helpers.maximum(tmp17, tmp18)
    tmp21 = triton_helpers.maximum(tmp19, tmp20)
    tmp22 = triton_helpers.maximum(tmp14, tmp21)
    tmp25 = triton_helpers.maximum(tmp23, tmp24)
    tmp27 = triton_helpers.maximum(tmp25, tmp26)
    tmp29 = triton_helpers.maximum(tmp27, tmp28)
    tmp30 = triton_helpers.maximum(tmp22, tmp29)
    tl.store(out_ptr0 + x2, tmp30, xmask)


@triton.jit
def triton_poi_fused_stack_1(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK: tl
    .constexpr):
    xnumel = 320
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex % 20
    x1 = xindex // 20 % 4
    x2 = xindex // 80
    x3 = xindex // 20
    x4 = xindex
    tmp0 = x0
    tl.full([1], 0, tl.int64)
    tmp3 = tl.full([1], 4, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tl.load(in_ptr0 + (20 * x1 + 64 * x2 + x0), tmp4 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp6 = tmp0 >= tmp3
    tmp7 = tl.full([1], 8, tl.int64)
    tmp8 = tmp0 < tmp7
    tmp9 = tmp6 & tmp8
    tmp10 = tl.load(in_ptr0 + (64 * x2 + (-4 + x0)), tmp9 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp11 = tl.load(in_ptr0 + (20 + 64 * x2 + (-4 + x0)), tmp9 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp12 = triton_helpers.maximum(tmp10, tmp11)
    tmp13 = tl.load(in_ptr0 + (40 + 64 * x2 + (-4 + x0)), tmp9 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp14 = triton_helpers.maximum(tmp12, tmp13)
    tmp15 = tl.load(in_ptr0 + (60 + 64 * x2 + (-4 + x0)), tmp9 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp16 = triton_helpers.maximum(tmp14, tmp15)
    tmp17 = tl.full(tmp16.shape, 0.0, tmp16.dtype)
    tmp18 = tl.where(tmp9, tmp16, tmp17)
    tmp19 = tmp0 >= tmp7
    tmp20 = tl.full([1], 12, tl.int64)
    tmp21 = tmp0 < tmp20
    tmp22 = tmp19 & tmp21
    tmp23 = tl.load(in_ptr0 + (16 * x3 + (-8 + x0)), tmp22 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp24 = tl.load(in_ptr0 + (4 + 16 * x3 + (-8 + x0)), tmp22 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp25 = triton_helpers.maximum(tmp23, tmp24)
    tmp26 = tl.load(in_ptr0 + (8 + 16 * x3 + (-8 + x0)), tmp22 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp27 = triton_helpers.maximum(tmp25, tmp26)
    tmp28 = tl.load(in_ptr0 + (12 + 16 * x3 + (-8 + x0)), tmp22 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp29 = triton_helpers.maximum(tmp27, tmp28)
    tmp30 = tl.full(tmp29.shape, 0.0, tmp29.dtype)
    tmp31 = tl.where(tmp22, tmp29, tmp30)
    tmp32 = tmp0 >= tmp20
    tmp33 = tl.full([1], 16, tl.int64)
    tmp34 = tmp0 < tmp33
    tmp35 = tmp32 & tmp34
    tmp36 = tl.load(in_ptr0 + (4 * x1 + 64 * x2 + (-12 + x0)), tmp35 &
        xmask, eviction_policy='evict_last', other=0.0)
    tmp37 = tl.load(in_ptr0 + (16 + 4 * x1 + 64 * x2 + (-12 + x0)), tmp35 &
        xmask, eviction_policy='evict_last', other=0.0)
    tmp38 = triton_helpers.maximum(tmp36, tmp37)
    tmp39 = tl.load(in_ptr0 + (32 + 4 * x1 + 64 * x2 + (-12 + x0)), tmp35 &
        xmask, eviction_policy='evict_last', other=0.0)
    tmp40 = triton_helpers.maximum(tmp38, tmp39)
    tmp41 = tl.load(in_ptr0 + (48 + 4 * x1 + 64 * x2 + (-12 + x0)), tmp35 &
        xmask, eviction_policy='evict_last', other=0.0)
    tmp42 = triton_helpers.maximum(tmp40, tmp41)
    tmp43 = tl.full(tmp42.shape, 0.0, tmp42.dtype)
    tmp44 = tl.where(tmp35, tmp42, tmp43)
    tmp45 = tmp0 >= tmp33
    tl.full([1], 20, tl.int64)
    tmp48 = tl.load(in_ptr1 + (4 * x2 + (-16 + x0)), tmp45 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp49 = tl.where(tmp35, tmp44, tmp48)
    tmp50 = tl.where(tmp22, tmp31, tmp49)
    tmp51 = tl.where(tmp9, tmp18, tmp50)
    tmp52 = tl.where(tmp4, tmp5, tmp51)
    tl.store(out_ptr0 + x4, tmp52, 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, 1), torch.float32)
        get_raw_stream(0)
        triton_poi_fused_max_0[grid(16)](arg0_1, buf0, 16, XBLOCK=16,
            num_warps=1, num_stages=1)
        buf1 = empty_strided_cuda((4, 4, 20), (80, 20, 1), torch.float32)
        triton_poi_fused_stack_1[grid(320)](arg0_1, buf0, buf1, 320, XBLOCK
            =128, num_warps=4, num_stages=1)
        del arg0_1
        del buf0
    return buf1,


class Features_2_to_1New(nn.Module):

    def __init__(self):
        """
        take a batch (bs, n_vertices, n_vertices, in_features)
        and returns (bs, n_vertices, basis * in_features)
        where basis = 5
        """
        super().__init__()

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


Measured latency_ms: 0.015535