# AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _align as align
from torch import device, empty_strided
from torch._inductor.async_compile import AsyncCompile
from torch._inductor.select_algorithm import extern_kernels
from torch._inductor.codegen.multi_kernel import MultiKernelCall
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid, split_scan_grid, grid_combo_kernels, start_graph, end_graph
from torch._C import _cuda_getCurrentRawStream as get_raw_stream

aten = torch.ops.aten
inductor_ops = torch.ops.inductor
_quantized = torch.ops._quantized
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cpu = torch._C._dynamo.guards._empty_strided_cpu
empty_strided_cuda = torch._C._dynamo.guards._empty_strided_cuda
empty_strided_xpu = torch._C._dynamo.guards._empty_strided_xpu
reinterpret_tensor = torch._C._dynamo.guards._reinterpret_tensor
alloc_from_pool = torch.ops.inductor._alloc_from_pool
async_compile = AsyncCompile()


# kernel path: runs/run_shard_4/inductor_cache/rg/crgiawcmyqe6sfk7cdruaahdqt6v7mzrssoebpffrj7d5youuev2.py
# Topologically Sorted Source Nodes: [x1, x2, add, add_1, y], Original ATen: [aten.max_pool2d_with_indices, aten.add, aten.div]
# Source node to ATen node mapping:
#   add => add
#   add_1 => add_1
#   x1 => _low_memory_max_pool2d_with_offsets
#   x2 => _low_memory_max_pool2d_with_offsets_1
#   y => div
# Graph fragment:
#   %_low_memory_max_pool2d_with_offsets : [num_users=1] = call_function[target=torch.ops.prims._low_memory_max_pool2d_with_offsets.default](args = (%arg0_1, [2, 2], [2, 2], [0, 0], [1, 1], False), kwargs = {})
#   %_low_memory_max_pool2d_with_offsets_1 : [num_users=1] = call_function[target=torch.ops.prims._low_memory_max_pool2d_with_offsets.default](args = (%arg0_1, [4, 4], [2, 2], [1, 1], [1, 1], False), kwargs = {})
#   %add : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%getitem, %getitem_2), kwargs = {})
#   %add_1 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%add, %getitem_4), kwargs = {})
#   %div : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%add_1, 3.0), kwargs = {})
triton_poi_fused_add_div_max_pool2d_with_indices_0 = async_compile.triton('triton_poi_fused_add_div_max_pool2d_with_indices_0', '''
import triton
import triton.language as tl
from triton.compiler.compiler import AttrsDescriptor

from torch._inductor.runtime import triton_helpers, triton_heuristics
from torch._inductor.runtime.triton_helpers import libdevice, math as tl_math
from torch._inductor.runtime.hints import AutotuneHint, ReductionHint, TileHint, instance_descriptor, DeviceProperties

@triton_heuristics.pointwise(
    size_hints=[64], 
    filename=__file__,
    triton_meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': DeviceProperties(type='cuda', index=0, cc=80, major=8, regs_per_multiprocessor=65536, max_threads_per_multi_processor=2048, multi_processor_count=108), 'constants': {}, 'configs': [AttrsDescriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]},
    inductor_meta={'autotune_hints': set(), 'kernel_name': 'triton_poi_fused_add_div_max_pool2d_with_indices_0', 'mutated_arg_names': ['in_out_ptr0'], 'no_x_dim': False, 'num_load': 21, 'num_reduction': 0, 'backend_hash': 'A9C866B4A14FD3277824029365D703C2427B2E685E54EC9B3EF4ADC8D1EEAC1D', 'are_deterministic_algorithms_enabled': False, 'assert_indirect_indexing': True, 'autotune_local_cache': True, 'autotune_pointwise': True, 'autotune_remote_cache': None, 'force_disable_caches': False, 'dynamic_scale_rblock': True, 'max_autotune': False, 'max_autotune_pointwise': False, 'min_split_scan_rblock': 256, 'spill_threshold': 16, 'store_cubin': False},
    min_elem_per_thread=0
)
@triton.jit
def triton_poi_fused_add_div_max_pool2d_with_indices_0(in_out_ptr0, in_ptr0, in_ptr1, xnumel, XBLOCK : tl.constexpr):
    xnumel = 64
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x1 = (xindex // 2) % 2
    x0 = xindex % 2
    x3 = (xindex // 2)
    x4 = xindex
    tmp81 = tl.load(in_ptr0 + ((2*x0) + (8*x3)), xmask, eviction_policy='evict_last')
    tmp82 = tl.load(in_ptr0 + (1 + (2*x0) + (8*x3)), xmask, eviction_policy='evict_last')
    tmp84 = tl.load(in_ptr0 + (4 + (2*x0) + (8*x3)), xmask, eviction_policy='evict_last')
    tmp86 = tl.load(in_ptr0 + (5 + (2*x0) + (8*x3)), xmask, eviction_policy='evict_last')
    tmp89 = tl.load(in_ptr1 + (x4), xmask)
    tmp0 = (-1) + (2*x1)
    tmp1 = tl.full([1], 0, tl.int64)
    tmp2 = tmp0 >= tmp1
    tmp3 = tl.full([1], 4, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tmp2 & tmp4
    tmp6 = (-1) + (2*x0)
    tmp7 = tmp6 >= tmp1
    tmp8 = tmp6 < tmp3
    tmp9 = tmp7 & tmp8
    tmp10 = tmp5 & tmp9
    tmp11 = tl.load(in_ptr0 + ((-5) + (2*x0) + (8*x3)), tmp10 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp12 = 2*x0
    tmp13 = tmp12 >= tmp1
    tmp14 = tmp12 < tmp3
    tmp15 = tmp13 & tmp14
    tmp16 = tmp5 & tmp15
    tmp17 = tl.load(in_ptr0 + ((-4) + (2*x0) + (8*x3)), tmp16 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp18 = triton_helpers.maximum(tmp17, tmp11)
    tmp19 = 1 + (2*x0)
    tmp20 = tmp19 >= tmp1
    tmp21 = tmp19 < tmp3
    tmp22 = tmp20 & tmp21
    tmp23 = tmp5 & tmp22
    tmp24 = tl.load(in_ptr0 + ((-3) + (2*x0) + (8*x3)), tmp23 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp25 = triton_helpers.maximum(tmp24, tmp18)
    tmp26 = 2 + (2*x0)
    tmp27 = tmp26 >= tmp1
    tmp28 = tmp26 < tmp3
    tmp29 = tmp27 & tmp28
    tmp30 = tmp5 & tmp29
    tmp31 = tl.load(in_ptr0 + ((-2) + (2*x0) + (8*x3)), tmp30 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp32 = triton_helpers.maximum(tmp31, tmp25)
    tmp33 = 2*x1
    tmp34 = tmp33 >= tmp1
    tmp35 = tmp33 < tmp3
    tmp36 = tmp34 & tmp35
    tmp37 = tmp36 & tmp9
    tmp38 = tl.load(in_ptr0 + ((-1) + (2*x0) + (8*x3)), tmp37 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp39 = triton_helpers.maximum(tmp38, tmp32)
    tmp40 = tmp36 & tmp15
    tmp41 = tl.load(in_ptr0 + ((2*x0) + (8*x3)), tmp40 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp42 = triton_helpers.maximum(tmp41, tmp39)
    tmp43 = tmp36 & tmp22
    tmp44 = tl.load(in_ptr0 + (1 + (2*x0) + (8*x3)), tmp43 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp45 = triton_helpers.maximum(tmp44, tmp42)
    tmp46 = tmp36 & tmp29
    tmp47 = tl.load(in_ptr0 + (2 + (2*x0) + (8*x3)), tmp46 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp48 = triton_helpers.maximum(tmp47, tmp45)
    tmp49 = 1 + (2*x1)
    tmp50 = tmp49 >= tmp1
    tmp51 = tmp49 < tmp3
    tmp52 = tmp50 & tmp51
    tmp53 = tmp52 & tmp9
    tmp54 = tl.load(in_ptr0 + (3 + (2*x0) + (8*x3)), tmp53 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp55 = triton_helpers.maximum(tmp54, tmp48)
    tmp56 = tmp52 & tmp15
    tmp57 = tl.load(in_ptr0 + (4 + (2*x0) + (8*x3)), tmp56 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp58 = triton_helpers.maximum(tmp57, tmp55)
    tmp59 = tmp52 & tmp22
    tmp60 = tl.load(in_ptr0 + (5 + (2*x0) + (8*x3)), tmp59 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp61 = triton_helpers.maximum(tmp60, tmp58)
    tmp62 = tmp52 & tmp29
    tmp63 = tl.load(in_ptr0 + (6 + (2*x0) + (8*x3)), tmp62 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp64 = triton_helpers.maximum(tmp63, tmp61)
    tmp65 = 2 + (2*x1)
    tmp66 = tmp65 >= tmp1
    tmp67 = tmp65 < tmp3
    tmp68 = tmp66 & tmp67
    tmp69 = tmp68 & tmp9
    tmp70 = tl.load(in_ptr0 + (7 + (2*x0) + (8*x3)), tmp69 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp71 = triton_helpers.maximum(tmp70, tmp64)
    tmp72 = tmp68 & tmp15
    tmp73 = tl.load(in_ptr0 + (8 + (2*x0) + (8*x3)), tmp72 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp74 = triton_helpers.maximum(tmp73, tmp71)
    tmp75 = tmp68 & tmp22
    tmp76 = tl.load(in_ptr0 + (9 + (2*x0) + (8*x3)), tmp75 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp77 = triton_helpers.maximum(tmp76, tmp74)
    tmp78 = tmp68 & tmp29
    tmp79 = tl.load(in_ptr0 + (10 + (2*x0) + (8*x3)), tmp78 & xmask, eviction_policy='evict_last', other=float("-inf"))
    tmp80 = triton_helpers.maximum(tmp79, tmp77)
    tmp83 = triton_helpers.maximum(tmp82, tmp81)
    tmp85 = triton_helpers.maximum(tmp84, tmp83)
    tmp87 = triton_helpers.maximum(tmp86, tmp85)
    tmp88 = tmp87 + tmp80
    tmp90 = tmp88 + tmp89
    tmp91 = 0.3333333333333333
    tmp92 = tmp90 * tmp91
    tl.store(in_out_ptr0 + (x4), tmp92, xmask)
''', device_str='cuda')


async_compile.wait(globals())
del async_compile

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)
        # Topologically Sorted Source Nodes: [x3], Original ATen: [aten.max_pool2d_with_indices]
        buf1 = torch.ops.aten.max_pool2d_with_indices.default(arg0_1, [8, 8], [2, 2], [3, 3])
        buf2 = buf1[0]
        del buf1
        buf0 = empty_strided_cuda((4, 4, 2, 2), (16, 4, 2, 1), torch.float32)
        buf4 = buf0; del buf0  # reuse
        # Topologically Sorted Source Nodes: [x1, x2, add, add_1, y], Original ATen: [aten.max_pool2d_with_indices, aten.add, aten.div]
        stream0 = get_raw_stream(0)
        triton_poi_fused_add_div_max_pool2d_with_indices_0.run(buf4, arg0_1, buf2, 64, grid=grid(64), stream=stream0)
        del arg0_1
        del buf2
    return (buf4, )


def benchmark_compiled_module(times=10, repeat=10):
    from torch._dynamo.testing import rand_strided
    from torch._inductor.utils import print_performance
    arg0_1 = rand_strided((4, 4, 4, 4), (64, 16, 4, 1), device='cuda:0', dtype=torch.float32)
    fn = lambda: call([arg0_1])
    return print_performance(fn, times=times, repeat=repeat)


if __name__ == "__main__":
    from torch._inductor.wrapper_benchmark import compiled_module_main
    compiled_module_main('None', benchmark_compiled_module)

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.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_add_div_max_pool2d_with_indices_0(in_out_ptr0, in_ptr0,
    in_ptr1, xnumel, XBLOCK: tl.constexpr):
    xnumel = 64
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x1 = xindex // 2 % 2
    x0 = xindex % 2
    x3 = xindex // 2
    x4 = xindex
    tmp81 = tl.load(in_ptr0 + (2 * x0 + 8 * x3), xmask, eviction_policy=
        'evict_last')
    tmp82 = tl.load(in_ptr0 + (1 + 2 * x0 + 8 * x3), xmask, eviction_policy
        ='evict_last')
    tmp84 = tl.load(in_ptr0 + (4 + 2 * x0 + 8 * x3), xmask, eviction_policy
        ='evict_last')
    tmp86 = tl.load(in_ptr0 + (5 + 2 * x0 + 8 * x3), xmask, eviction_policy
        ='evict_last')
    tmp89 = tl.load(in_ptr1 + x4, xmask)
    tmp0 = -1 + 2 * x1
    tmp1 = tl.full([1], 0, tl.int64)
    tmp2 = tmp0 >= tmp1
    tmp3 = tl.full([1], 4, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tmp2 & tmp4
    tmp6 = -1 + 2 * x0
    tmp7 = tmp6 >= tmp1
    tmp8 = tmp6 < tmp3
    tmp9 = tmp7 & tmp8
    tmp10 = tmp5 & tmp9
    tmp11 = tl.load(in_ptr0 + (-5 + 2 * x0 + 8 * x3), tmp10 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp12 = 2 * x0
    tmp13 = tmp12 >= tmp1
    tmp14 = tmp12 < tmp3
    tmp15 = tmp13 & tmp14
    tmp16 = tmp5 & tmp15
    tmp17 = tl.load(in_ptr0 + (-4 + 2 * x0 + 8 * x3), tmp16 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp18 = triton_helpers.maximum(tmp17, tmp11)
    tmp19 = 1 + 2 * x0
    tmp20 = tmp19 >= tmp1
    tmp21 = tmp19 < tmp3
    tmp22 = tmp20 & tmp21
    tmp23 = tmp5 & tmp22
    tmp24 = tl.load(in_ptr0 + (-3 + 2 * x0 + 8 * x3), tmp23 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp25 = triton_helpers.maximum(tmp24, tmp18)
    tmp26 = 2 + 2 * x0
    tmp27 = tmp26 >= tmp1
    tmp28 = tmp26 < tmp3
    tmp29 = tmp27 & tmp28
    tmp30 = tmp5 & tmp29
    tmp31 = tl.load(in_ptr0 + (-2 + 2 * x0 + 8 * x3), tmp30 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp32 = triton_helpers.maximum(tmp31, tmp25)
    tmp33 = 2 * x1
    tmp34 = tmp33 >= tmp1
    tmp35 = tmp33 < tmp3
    tmp36 = tmp34 & tmp35
    tmp37 = tmp36 & tmp9
    tmp38 = tl.load(in_ptr0 + (-1 + 2 * x0 + 8 * x3), tmp37 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp39 = triton_helpers.maximum(tmp38, tmp32)
    tmp40 = tmp36 & tmp15
    tmp41 = tl.load(in_ptr0 + (2 * x0 + 8 * x3), tmp40 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp42 = triton_helpers.maximum(tmp41, tmp39)
    tmp43 = tmp36 & tmp22
    tmp44 = tl.load(in_ptr0 + (1 + 2 * x0 + 8 * x3), tmp43 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp45 = triton_helpers.maximum(tmp44, tmp42)
    tmp46 = tmp36 & tmp29
    tmp47 = tl.load(in_ptr0 + (2 + 2 * x0 + 8 * x3), tmp46 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp48 = triton_helpers.maximum(tmp47, tmp45)
    tmp49 = 1 + 2 * x1
    tmp50 = tmp49 >= tmp1
    tmp51 = tmp49 < tmp3
    tmp52 = tmp50 & tmp51
    tmp53 = tmp52 & tmp9
    tmp54 = tl.load(in_ptr0 + (3 + 2 * x0 + 8 * x3), tmp53 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp55 = triton_helpers.maximum(tmp54, tmp48)
    tmp56 = tmp52 & tmp15
    tmp57 = tl.load(in_ptr0 + (4 + 2 * x0 + 8 * x3), tmp56 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp58 = triton_helpers.maximum(tmp57, tmp55)
    tmp59 = tmp52 & tmp22
    tmp60 = tl.load(in_ptr0 + (5 + 2 * x0 + 8 * x3), tmp59 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp61 = triton_helpers.maximum(tmp60, tmp58)
    tmp62 = tmp52 & tmp29
    tmp63 = tl.load(in_ptr0 + (6 + 2 * x0 + 8 * x3), tmp62 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp64 = triton_helpers.maximum(tmp63, tmp61)
    tmp65 = 2 + 2 * x1
    tmp66 = tmp65 >= tmp1
    tmp67 = tmp65 < tmp3
    tmp68 = tmp66 & tmp67
    tmp69 = tmp68 & tmp9
    tmp70 = tl.load(in_ptr0 + (7 + 2 * x0 + 8 * x3), tmp69 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp71 = triton_helpers.maximum(tmp70, tmp64)
    tmp72 = tmp68 & tmp15
    tmp73 = tl.load(in_ptr0 + (8 + 2 * x0 + 8 * x3), tmp72 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp74 = triton_helpers.maximum(tmp73, tmp71)
    tmp75 = tmp68 & tmp22
    tmp76 = tl.load(in_ptr0 + (9 + 2 * x0 + 8 * x3), tmp75 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp77 = triton_helpers.maximum(tmp76, tmp74)
    tmp78 = tmp68 & tmp29
    tmp79 = tl.load(in_ptr0 + (10 + 2 * x0 + 8 * x3), tmp78 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp80 = triton_helpers.maximum(tmp79, tmp77)
    tmp83 = triton_helpers.maximum(tmp82, tmp81)
    tmp85 = triton_helpers.maximum(tmp84, tmp83)
    tmp87 = triton_helpers.maximum(tmp86, tmp85)
    tmp88 = tmp87 + tmp80
    tmp90 = tmp88 + tmp89
    tmp91 = 0.3333333333333333
    tmp92 = tmp90 * tmp91
    tl.store(in_out_ptr0 + x4, tmp92, 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)
        buf1 = torch.ops.aten.max_pool2d_with_indices.default(arg0_1, [8, 8
            ], [2, 2], [3, 3])
        buf2 = buf1[0]
        del buf1
        buf0 = empty_strided_cuda((4, 4, 2, 2), (16, 4, 2, 1), torch.float32)
        buf4 = buf0
        del buf0
        get_raw_stream(0)
        triton_poi_fused_add_div_max_pool2d_with_indices_0[grid(64)](buf4,
            arg0_1, buf2, 64, XBLOCK=64, num_warps=1, num_stages=1)
        del arg0_1
        del buf2
    return buf4,


class multi_poolNew(nn.Module):

    def __init__(self):
        super(multi_poolNew, self).__init__()
        self.pool2 = nn.MaxPool2d(2, stride=2)
        self.pool4 = nn.MaxPool2d(4, stride=2, padding=1)
        self.pool8 = nn.MaxPool2d(8, stride=2, padding=3)

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