import torch
from torch._inductor.select_algorithm import extern_kernels
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
reinterpret_tensor = torch._C._dynamo.guards._reinterpret_tensor


@triton.jit
def triton_poi_fused_convolution_relu_0(in_ptr0, in_ptr1, out_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 129600
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x3 = xindex
    x1 = xindex // 8100 % 4
    x0 = xindex % 8100
    x4 = xindex // 8100
    tmp0 = tl.load(in_ptr0 + x3, xmask)
    tmp1 = tl.load(in_ptr1 + x1, xmask, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tl.store(out_ptr0 + (x0 + 8128 * x4), tmp4, xmask)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_1(in_ptr0, out_ptr0, out_ptr1,
    xnumel, XBLOCK: tl.constexpr):
    xnumel = 32400
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex % 45
    x1 = xindex // 45 % 45
    x2 = xindex // 2025
    x3 = xindex % 2025
    tmp0 = tl.load(in_ptr0 + (2 * x0 + 180 * x1 + 8128 * x2), xmask,
        eviction_policy='evict_last')
    tmp1 = tl.load(in_ptr0 + (1 + 2 * x0 + 180 * x1 + 8128 * x2), xmask,
        eviction_policy='evict_last')
    tmp3 = tl.load(in_ptr0 + (90 + 2 * x0 + 180 * x1 + 8128 * x2), xmask,
        eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr0 + (91 + 2 * x0 + 180 * x1 + 8128 * x2), xmask,
        eviction_policy='evict_last')
    tmp2 = triton_helpers.maximum(tmp1, tmp0)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tmp6 = triton_helpers.maximum(tmp5, tmp4)
    tmp7 = tmp1 > tmp0
    tmp8 = tl.full([1], 1, tl.int8)
    tmp9 = tl.full([1], 0, tl.int8)
    tmp10 = tl.where(tmp7, tmp8, tmp9)
    tmp11 = tmp3 > tmp2
    tmp12 = tl.full([1], 2, tl.int8)
    tmp13 = tl.where(tmp11, tmp12, tmp10)
    tmp14 = tmp5 > tmp4
    tmp15 = tl.full([1], 3, tl.int8)
    tmp16 = tl.where(tmp14, tmp15, tmp13)
    tl.store(out_ptr0 + (x3 + 2048 * x2), tmp6, xmask)
    tl.store(out_ptr1 + (x3 + 2048 * x2), tmp16, xmask)


@triton.jit
def triton_poi_fused_convolution_relu_2(in_ptr0, in_ptr1, out_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 53792
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x3 = xindex
    x1 = xindex // 1681 % 8
    x0 = xindex % 1681
    x4 = xindex // 1681
    tmp0 = tl.load(in_ptr0 + x3, xmask)
    tmp1 = tl.load(in_ptr1 + x1, xmask, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tl.store(out_ptr0 + (x0 + 1696 * x4), tmp4, xmask)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_3(in_ptr0, out_ptr0, out_ptr1,
    xnumel, XBLOCK: tl.constexpr):
    xnumel = 12800
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex % 20
    x1 = xindex // 20 % 20
    x2 = xindex // 400
    x3 = xindex
    tmp0 = tl.load(in_ptr0 + (2 * x0 + 82 * x1 + 1696 * x2), xmask,
        eviction_policy='evict_last')
    tmp1 = tl.load(in_ptr0 + (1 + 2 * x0 + 82 * x1 + 1696 * x2), xmask,
        eviction_policy='evict_last')
    tmp3 = tl.load(in_ptr0 + (41 + 2 * x0 + 82 * x1 + 1696 * x2), xmask,
        eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr0 + (42 + 2 * x0 + 82 * x1 + 1696 * x2), xmask,
        eviction_policy='evict_last')
    tmp2 = triton_helpers.maximum(tmp1, tmp0)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tmp6 = triton_helpers.maximum(tmp5, tmp4)
    tmp7 = tmp1 > tmp0
    tmp8 = tl.full([1], 1, tl.int8)
    tmp9 = tl.full([1], 0, tl.int8)
    tmp10 = tl.where(tmp7, tmp8, tmp9)
    tmp11 = tmp3 > tmp2
    tmp12 = tl.full([1], 2, tl.int8)
    tmp13 = tl.where(tmp11, tmp12, tmp10)
    tmp14 = tmp5 > tmp4
    tmp15 = tl.full([1], 3, tl.int8)
    tmp16 = tl.where(tmp14, tmp15, tmp13)
    tl.store(out_ptr0 + x3, tmp6, xmask)
    tl.store(out_ptr1 + x3, tmp16, xmask)


@triton.jit
def triton_poi_fused_convolution_relu_4(in_out_ptr0, in_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 20736
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x3 = xindex
    x1 = xindex // 324 % 16
    tmp0 = tl.load(in_out_ptr0 + x3, xmask)
    tmp1 = tl.load(in_ptr0 + x1, xmask, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tl.store(in_out_ptr0 + x3, tmp4, xmask)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_5(in_ptr0, out_ptr0, out_ptr1,
    xnumel, XBLOCK: tl.constexpr):
    xnumel = 5184
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex % 9
    x3 = xindex // 9
    x2 = xindex // 1296
    x4 = xindex % 1296
    tmp0 = tl.load(in_ptr0 + (2 * x0 + 36 * x3), xmask, eviction_policy=
        'evict_last')
    tmp1 = tl.load(in_ptr0 + (1 + 2 * x0 + 36 * x3), xmask, eviction_policy
        ='evict_last')
    tmp7 = tl.load(in_ptr0 + (18 + 2 * x0 + 36 * x3), xmask,
        eviction_policy='evict_last')
    tmp12 = tl.load(in_ptr0 + (19 + 2 * x0 + 36 * x3), xmask,
        eviction_policy='evict_last')
    tmp2 = tmp1 > tmp0
    tmp3 = tl.full([1], 1, tl.int8)
    tmp4 = tl.full([1], 0, tl.int8)
    tmp5 = tl.where(tmp2, tmp3, tmp4)
    tmp6 = triton_helpers.maximum(tmp1, tmp0)
    tmp8 = tmp7 > tmp6
    tmp9 = tl.full([1], 2, tl.int8)
    tmp10 = tl.where(tmp8, tmp9, tmp5)
    tmp11 = triton_helpers.maximum(tmp7, tmp6)
    tmp13 = tmp12 > tmp11
    tmp14 = tl.full([1], 3, tl.int8)
    tmp15 = tl.where(tmp13, tmp14, tmp10)
    tmp16 = triton_helpers.maximum(tmp12, tmp11)
    tl.store(out_ptr0 + (x4 + 1408 * x2), tmp15, xmask)
    tl.store(out_ptr1 + (x4 + 1312 * x2), tmp16, xmask)


@triton.jit
def triton_poi_fused_relu_6(in_out_ptr0, in_ptr0, xnumel, XBLOCK: tl.constexpr
    ):
    xnumel = 2400
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex
    x0 = xindex % 600
    tmp0 = tl.load(in_out_ptr0 + x2, xmask)
    tmp1 = tl.load(in_ptr0 + x0, xmask, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tl.store(in_out_ptr0 + x2, tmp4, xmask)


@triton.jit
def triton_poi_fused_relu_7(in_out_ptr0, in_ptr0, xnumel, XBLOCK: tl.constexpr
    ):
    xnumel = 800
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex
    x0 = xindex % 200
    tmp0 = tl.load(in_out_ptr0 + x2, xmask)
    tmp1 = tl.load(in_ptr0 + x0, xmask, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tl.store(in_out_ptr0 + x2, tmp4, xmask)


def call(args):
    (primals_1, primals_2, primals_3, primals_4, primals_5, primals_6,
        primals_7, primals_8, primals_9, primals_10, primals_11, primals_12,
        primals_13) = args
    args.clear()
    assert_size_stride(primals_1, (4, 1, 96, 96), (9216, 9216, 96, 1))
    assert_size_stride(primals_2, (4, 1, 7, 7), (49, 49, 7, 1))
    assert_size_stride(primals_3, (4,), (1,))
    assert_size_stride(primals_4, (8, 4, 5, 5), (100, 25, 5, 1))
    assert_size_stride(primals_5, (8,), (1,))
    assert_size_stride(primals_6, (16, 8, 3, 3), (72, 9, 3, 1))
    assert_size_stride(primals_7, (16,), (1,))
    assert_size_stride(primals_8, (600, 1296), (1296, 1))
    assert_size_stride(primals_9, (600,), (1,))
    assert_size_stride(primals_10, (200, 600), (600, 1))
    assert_size_stride(primals_11, (200,), (1,))
    assert_size_stride(primals_12, (4, 200), (200, 1))
    assert_size_stride(primals_13, (4,), (1,))
    with torch.cuda._DeviceGuard(0):
        torch.cuda.set_device(0)
        buf0 = extern_kernels.convolution(primals_1, primals_2, stride=(1, 
            1), padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf0, (4, 4, 90, 90), (32400, 8100, 90, 1))
        buf1 = empty_strided_cuda((4, 4, 90, 90), (32512, 8128, 90, 1),
            torch.float32)
        get_raw_stream(0)
        triton_poi_fused_convolution_relu_0[grid(129600)](buf0, primals_3,
            buf1, 129600, XBLOCK=1024, num_warps=4, num_stages=1)
        del buf0
        del primals_3
        buf2 = empty_strided_cuda((4, 4, 45, 45), (8192, 2048, 45, 1),
            torch.float32)
        buf3 = empty_strided_cuda((4, 4, 45, 45), (8192, 2048, 45, 1),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_1[grid(32400)](buf1, buf2,
            buf3, 32400, XBLOCK=128, num_warps=4, num_stages=1)
        buf4 = extern_kernels.convolution(buf2, primals_4, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf4, (4, 8, 41, 41), (13448, 1681, 41, 1))
        buf5 = empty_strided_cuda((4, 8, 41, 41), (13568, 1696, 41, 1),
            torch.float32)
        triton_poi_fused_convolution_relu_2[grid(53792)](buf4, primals_5,
            buf5, 53792, XBLOCK=256, num_warps=4, num_stages=1)
        del buf4
        del primals_5
        buf6 = empty_strided_cuda((4, 8, 20, 20), (3200, 400, 20, 1), torch
            .float32)
        buf7 = empty_strided_cuda((4, 8, 20, 20), (3200, 400, 20, 1), torch
            .int8)
        triton_poi_fused_max_pool2d_with_indices_3[grid(12800)](buf5, buf6,
            buf7, 12800, XBLOCK=256, num_warps=4, num_stages=1)
        buf8 = extern_kernels.convolution(buf6, primals_6, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf8, (4, 16, 18, 18), (5184, 324, 18, 1))
        buf9 = buf8
        del buf8
        triton_poi_fused_convolution_relu_4[grid(20736)](buf9, primals_7, 
            20736, XBLOCK=256, num_warps=4, num_stages=1)
        del primals_7
        buf10 = empty_strided_cuda((4, 16, 9, 9), (1408, 81, 9, 1), torch.int8)
        buf11 = empty_strided_cuda((4, 16, 9, 9), (1312, 81, 9, 1), torch.
            float32)
        triton_poi_fused_max_pool2d_with_indices_5[grid(5184)](buf9, buf10,
            buf11, 5184, XBLOCK=256, num_warps=4, num_stages=1)
        buf12 = empty_strided_cuda((4, 600), (600, 1), torch.float32)
        extern_kernels.mm(reinterpret_tensor(buf11, (4, 1296), (1312, 1), 0
            ), reinterpret_tensor(primals_8, (1296, 600), (1, 1296), 0),
            out=buf12)
        buf13 = buf12
        del buf12
        triton_poi_fused_relu_6[grid(2400)](buf13, primals_9, 2400, XBLOCK=
            128, num_warps=4, num_stages=1)
        del primals_9
        buf14 = empty_strided_cuda((4, 200), (200, 1), torch.float32)
        extern_kernels.mm(buf13, reinterpret_tensor(primals_10, (600, 200),
            (1, 600), 0), out=buf14)
        buf15 = buf14
        del buf14
        triton_poi_fused_relu_7[grid(800)](buf15, primals_11, 800, XBLOCK=
            256, num_warps=4, num_stages=1)
        del primals_11
        buf16 = empty_strided_cuda((4, 4), (4, 1), torch.float32)
        extern_kernels.addmm(primals_13, buf15, reinterpret_tensor(
            primals_12, (200, 4), (1, 200), 0), alpha=1, beta=1, out=buf16)
        del primals_13
    return (buf16, primals_1, primals_2, primals_4, primals_6, buf1, buf2,
        buf3, buf5, buf6, buf7, buf9, buf10, reinterpret_tensor(buf11, (4, 
        1296), (1312, 1), 0), buf13, buf15, primals_12, primals_10, primals_8)


class BaselineTokenCNNNew(nn.Module):

    def __init__(self, num_classes):
        super(BaselineTokenCNNNew, self).__init__()
        self.conv1 = nn.Conv2d(in_channels=1, out_channels=4, kernel_size=7)
        self.pool1 = nn.MaxPool2d(kernel_size=2, stride=2)
        self.conv2 = nn.Conv2d(in_channels=4, out_channels=8, kernel_size=5)
        self.pool2 = nn.MaxPool2d(kernel_size=2, stride=2)
        self.conv3 = nn.Conv2d(in_channels=8, out_channels=16, kernel_size=3)
        self.pool3 = nn.MaxPool2d(kernel_size=2, stride=2)
        self.fc1 = nn.Linear(16 * 9 * 9, 600)
        self.fc2 = nn.Linear(600, 200)
        self.fc3 = nn.Linear(200, num_classes)

    def forward(self, input_0):
        primals_2 = self.conv1.weight
        primals_3 = self.conv1.bias
        primals_4 = self.conv2.weight
        primals_5 = self.conv2.bias
        primals_6 = self.conv3.weight
        primals_7 = self.conv3.bias
        primals_8 = self.fc1.weight
        primals_9 = self.fc1.bias
        primals_10 = self.fc2.weight
        primals_11 = self.fc2.bias
        primals_12 = self.fc3.weight
        primals_13 = self.fc3.bias
        primals_1 = input_0
        output = call([primals_1, primals_2, primals_3, primals_4,
            primals_5, primals_6, primals_7, primals_8, primals_9,
            primals_10, primals_11, primals_12, primals_13])
        return output[0]


Measured latency_ms: 0.17669