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 = 1524096
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x3 = xindex
    x1 = xindex // 63504 % 6
    x0 = xindex % 63504
    x4 = xindex // 63504
    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 + 63520 * 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 = 381024
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex % 126
    x1 = xindex // 126 % 126
    x2 = xindex // 15876
    x3 = xindex % 15876
    tmp0 = tl.load(in_ptr0 + (2 * x0 + 504 * x1 + 63520 * x2), xmask,
        eviction_policy='evict_last')
    tmp1 = tl.load(in_ptr0 + (1 + 2 * x0 + 504 * x1 + 63520 * x2), xmask,
        eviction_policy='evict_last')
    tmp3 = tl.load(in_ptr0 + (252 + 2 * x0 + 504 * x1 + 63520 * x2), xmask,
        eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr0 + (253 + 2 * x0 + 504 * x1 + 63520 * 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 + 15904 * x2), tmp6, xmask)
    tl.store(out_ptr1 + (x3 + 16000 * x2), tmp16, xmask)


@triton.jit
def triton_poi_fused_convolution_relu_2(in_ptr0, in_ptr1, out_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 714432
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x3 = xindex
    x1 = xindex // 14884 % 12
    x0 = xindex % 14884
    x4 = xindex // 14884
    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 + 14912 * 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 = 178608
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex % 61
    x1 = xindex // 61 % 61
    x2 = xindex // 3721
    x3 = xindex % 3721
    tmp0 = tl.load(in_ptr0 + (2 * x0 + 244 * x1 + 14912 * x2), xmask,
        eviction_policy='evict_last')
    tmp1 = tl.load(in_ptr0 + (1 + 2 * x0 + 244 * x1 + 14912 * x2), xmask,
        eviction_policy='evict_last')
    tmp3 = tl.load(in_ptr0 + (122 + 2 * x0 + 244 * x1 + 14912 * x2), xmask,
        eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr0 + (123 + 2 * x0 + 244 * x1 + 14912 * 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 + 3744 * x2), tmp6, xmask)
    tl.store(out_ptr1 + (x3 + 3840 * x2), tmp16, xmask)


@triton.jit
def triton_poi_fused_convolution_relu_4(in_ptr0, in_ptr1, out_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 311904
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x3 = xindex
    x1 = xindex // 3249 % 24
    x0 = xindex % 3249
    x4 = xindex // 3249
    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 + 3264 * x4), tmp4, xmask)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_5(in_ptr0, out_ptr0, out_ptr1,
    xnumel, XBLOCK: tl.constexpr):
    xnumel = 75264
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex % 28
    x1 = xindex // 28 % 28
    x2 = xindex // 784
    x3 = xindex
    tmp0 = tl.load(in_ptr0 + (2 * x0 + 114 * x1 + 3264 * x2), xmask,
        eviction_policy='evict_last')
    tmp1 = tl.load(in_ptr0 + (1 + 2 * x0 + 114 * x1 + 3264 * x2), xmask,
        eviction_policy='evict_last')
    tmp3 = tl.load(in_ptr0 + (57 + 2 * x0 + 114 * x1 + 3264 * x2), xmask,
        eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr0 + (58 + 2 * x0 + 114 * x1 + 3264 * 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_6(in_out_ptr0, in_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x3 = xindex
    x1 = xindex // 576 % 48
    tmp0 = tl.load(in_out_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr0 + x1, None, 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, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_7(in_ptr0, out_ptr0, out_ptr1,
    xnumel, XBLOCK: tl.constexpr):
    xnumel = 27648
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex % 12
    x1 = xindex // 12
    x2 = xindex
    tmp0 = tl.load(in_ptr0 + (2 * x0 + 48 * x1), xmask, eviction_policy=
        'evict_last')
    tmp1 = tl.load(in_ptr0 + (1 + 2 * x0 + 48 * x1), xmask, eviction_policy
        ='evict_last')
    tmp7 = tl.load(in_ptr0 + (24 + 2 * x0 + 48 * x1), xmask,
        eviction_policy='evict_last')
    tmp12 = tl.load(in_ptr0 + (25 + 2 * x0 + 48 * x1), 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 + x2, tmp15, xmask)
    tl.store(out_ptr1 + x2, tmp16, xmask)


@triton.jit
def triton_poi_fused_relu_8(in_out_ptr0, in_ptr0, xnumel, XBLOCK: tl.constexpr
    ):
    xnumel = 960
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex
    x0 = xindex % 240
    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_9(in_out_ptr0, in_ptr0, xnumel, XBLOCK: tl.constexpr
    ):
    xnumel = 480
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex
    x0 = xindex % 120
    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, primals_14, primals_15) = args
    args.clear()
    assert_size_stride(primals_1, (4, 3, 256, 256), (196608, 65536, 256, 1))
    assert_size_stride(primals_2, (6, 3, 5, 5), (75, 25, 5, 1))
    assert_size_stride(primals_3, (6,), (1,))
    assert_size_stride(primals_4, (12, 6, 5, 5), (150, 25, 5, 1))
    assert_size_stride(primals_5, (12,), (1,))
    assert_size_stride(primals_6, (24, 12, 5, 5), (300, 25, 5, 1))
    assert_size_stride(primals_7, (24,), (1,))
    assert_size_stride(primals_8, (48, 24, 5, 5), (600, 25, 5, 1))
    assert_size_stride(primals_9, (48,), (1,))
    assert_size_stride(primals_10, (240, 6912), (6912, 1))
    assert_size_stride(primals_11, (240,), (1,))
    assert_size_stride(primals_12, (120, 240), (240, 1))
    assert_size_stride(primals_13, (120,), (1,))
    assert_size_stride(primals_14, (17, 120), (120, 1))
    assert_size_stride(primals_15, (17,), (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, 6, 252, 252), (381024, 63504, 252, 1))
        buf1 = empty_strided_cuda((4, 6, 252, 252), (381120, 63520, 252, 1),
            torch.float32)
        get_raw_stream(0)
        triton_poi_fused_convolution_relu_0[grid(1524096)](buf0, primals_3,
            buf1, 1524096, XBLOCK=1024, num_warps=4, num_stages=1)
        del buf0
        del primals_3
        buf2 = empty_strided_cuda((4, 6, 126, 126), (95424, 15904, 126, 1),
            torch.float32)
        buf3 = empty_strided_cuda((4, 6, 126, 126), (96000, 16000, 126, 1),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_1[grid(381024)](buf1, buf2,
            buf3, 381024, XBLOCK=512, num_warps=8, 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, 12, 122, 122), (178608, 14884, 122, 1))
        buf5 = empty_strided_cuda((4, 12, 122, 122), (178944, 14912, 122, 1
            ), torch.float32)
        triton_poi_fused_convolution_relu_2[grid(714432)](buf4, primals_5,
            buf5, 714432, XBLOCK=512, num_warps=8, num_stages=1)
        del buf4
        del primals_5
        buf6 = empty_strided_cuda((4, 12, 61, 61), (44928, 3744, 61, 1),
            torch.float32)
        buf7 = empty_strided_cuda((4, 12, 61, 61), (46080, 3840, 61, 1),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_3[grid(178608)](buf5, buf6,
            buf7, 178608, XBLOCK=512, num_warps=8, 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, 24, 57, 57), (77976, 3249, 57, 1))
        buf9 = empty_strided_cuda((4, 24, 57, 57), (78336, 3264, 57, 1),
            torch.float32)
        triton_poi_fused_convolution_relu_4[grid(311904)](buf8, primals_7,
            buf9, 311904, XBLOCK=512, num_warps=8, num_stages=1)
        del buf8
        del primals_7
        buf10 = empty_strided_cuda((4, 24, 28, 28), (18816, 784, 28, 1),
            torch.float32)
        buf11 = empty_strided_cuda((4, 24, 28, 28), (18816, 784, 28, 1),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_5[grid(75264)](buf9, buf10,
            buf11, 75264, XBLOCK=512, num_warps=8, num_stages=1)
        buf12 = extern_kernels.convolution(buf10, primals_8, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf12, (4, 48, 24, 24), (27648, 576, 24, 1))
        buf13 = buf12
        del buf12
        triton_poi_fused_convolution_relu_6[grid(110592)](buf13, primals_9,
            110592, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_9
        buf14 = empty_strided_cuda((4, 48, 12, 12), (6912, 144, 12, 1),
            torch.int8)
        buf15 = empty_strided_cuda((4, 48, 12, 12), (6912, 144, 12, 1),
            torch.float32)
        triton_poi_fused_max_pool2d_with_indices_7[grid(27648)](buf13,
            buf14, buf15, 27648, XBLOCK=256, num_warps=4, num_stages=1)
        buf16 = empty_strided_cuda((4, 240), (240, 1), torch.float32)
        extern_kernels.mm(reinterpret_tensor(buf15, (4, 6912), (6912, 1), 0
            ), reinterpret_tensor(primals_10, (6912, 240), (1, 6912), 0),
            out=buf16)
        buf17 = buf16
        del buf16
        triton_poi_fused_relu_8[grid(960)](buf17, primals_11, 960, XBLOCK=
            256, num_warps=4, num_stages=1)
        del primals_11
        buf18 = empty_strided_cuda((4, 120), (120, 1), torch.float32)
        extern_kernels.mm(buf17, reinterpret_tensor(primals_12, (240, 120),
            (1, 240), 0), out=buf18)
        buf19 = buf18
        del buf18
        triton_poi_fused_relu_9[grid(480)](buf19, primals_13, 480, XBLOCK=
            256, num_warps=4, num_stages=1)
        del primals_13
        buf20 = empty_strided_cuda((4, 17), (17, 1), torch.float32)
        extern_kernels.addmm(primals_15, buf19, reinterpret_tensor(
            primals_14, (120, 17), (1, 120), 0), alpha=1, beta=1, out=buf20)
        del primals_15
    return (buf20, primals_1, primals_2, primals_4, primals_6, primals_8,
        buf1, buf2, buf3, buf5, buf6, buf7, buf9, buf10, buf11, buf13,
        buf14, reinterpret_tensor(buf15, (4, 6912), (6912, 1), 0), buf17,
        buf19, primals_14, primals_12, primals_10)


class neuralNetNew(nn.Module):

    def __init__(self):
        super(neuralNetNew, self).__init__()
        self.conv1 = nn.Conv2d(in_channels=3, out_channels=6, kernel_size=5)
        self.conv2 = nn.Conv2d(in_channels=6, out_channels=12, kernel_size=5)
        self.conv3 = nn.Conv2d(in_channels=12, out_channels=24, kernel_size=5)
        self.conv4 = nn.Conv2d(in_channels=24, out_channels=48, kernel_size=5)
        self.fc1 = nn.Linear(in_features=48 * 12 * 12, out_features=240)
        self.fc2 = nn.Linear(in_features=240, out_features=120)
        self.out = nn.Linear(in_features=120, out_features=17)

    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.conv4.weight
        primals_9 = self.conv4.bias
        primals_10 = self.fc1.weight
        primals_11 = self.fc1.bias
        primals_12 = self.fc2.weight
        primals_13 = self.fc2.bias
        primals_14 = self.out.weight
        primals_15 = self.out.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, primals_14,
            primals_15])
        return output[0]


Measured latency_ms: 0.332292