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
from torch import 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_0(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    ynumel = 12
    xnumel = 2304
    yoffset = tl.program_id(1) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    ymask = yindex < ynumel
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y3 = yindex
    y0 = yindex % 3
    y1 = yindex // 3
    tmp0 = tl.load(in_ptr0 + (x2 + 2304 * y3), xmask & ymask,
        eviction_policy='evict_last')
    tl.store(out_ptr0 + (y0 + 3 * x2 + 6912 * y1), tmp0, xmask & ymask)


@triton.jit
def triton_poi_fused_1(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    ynumel = 96
    xnumel = 25
    yoffset = tl.program_id(1) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    ymask = yindex < ynumel
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y3 = yindex
    y0 = yindex % 3
    y1 = yindex // 3
    tmp0 = tl.load(in_ptr0 + (x2 + 25 * y3), xmask & ymask, eviction_policy
        ='evict_last')
    tl.store(out_ptr0 + (y0 + 3 * x2 + 75 * y1), tmp0, xmask & ymask)


@triton.jit
def triton_poi_fused_2(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 25
    yoffset = tl.program_id(1) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    tl.full([XBLOCK, YBLOCK], True, tl.int1)
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y3 = yindex
    y0 = yindex % 32
    y1 = yindex // 32
    tmp0 = tl.load(in_ptr0 + (x2 + 25 * y3), xmask, eviction_policy=
        'evict_last')
    tl.store(out_ptr0 + (y0 + 32 * x2 + 800 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_3(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 25
    yoffset = tl.program_id(1) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    tl.full([XBLOCK, YBLOCK], True, tl.int1)
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y3 = yindex
    y0 = yindex % 64
    y1 = yindex // 64
    tmp0 = tl.load(in_ptr0 + (x2 + 25 * y3), xmask, eviction_policy=
        'evict_last')
    tl.store(out_ptr0 + (y0 + 64 * x2 + 1600 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_4(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 25
    yoffset = tl.program_id(1) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    tl.full([XBLOCK, YBLOCK], True, tl.int1)
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y3 = yindex
    y0 = yindex % 128
    y1 = yindex // 128
    tmp0 = tl.load(in_ptr0 + (x2 + 25 * y3), xmask, eviction_policy=
        'evict_last')
    tl.store(out_ptr0 + (y0 + 128 * x2 + 3200 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_convolution_relu_5(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)
    x2 = xindex
    x0 = xindex % 32
    tmp0 = tl.load(in_out_ptr0 + x2, None)
    tmp1 = tl.load(in_ptr0 + x0, 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 + x2, tmp4, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_6(in_ptr0, out_ptr0, out_ptr1,
    xnumel, XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x0 = xindex % 32
    x1 = xindex // 32 % 24
    x2 = xindex // 768
    x3 = xindex
    tmp0 = tl.load(in_ptr0 + (x0 + 64 * x1 + 3072 * x2), None)
    tmp1 = tl.load(in_ptr0 + (32 + x0 + 64 * x1 + 3072 * x2), None)
    tmp3 = tl.load(in_ptr0 + (1536 + x0 + 64 * x1 + 3072 * x2), None)
    tmp5 = tl.load(in_ptr0 + (1568 + x0 + 64 * x1 + 3072 * x2), None)
    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, None)
    tl.store(out_ptr1 + x3, tmp16, None)


@triton.jit
def triton_poi_fused_convolution_relu_7(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)
    x2 = xindex
    x0 = xindex % 64
    tmp0 = tl.load(in_out_ptr0 + x2, None)
    tmp1 = tl.load(in_ptr0 + x0, 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 + x2, tmp4, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_8(in_ptr0, out_ptr0, out_ptr1,
    xnumel, XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x0 = xindex % 64
    x1 = xindex // 64 % 12
    x2 = xindex // 768
    x3 = xindex
    tmp0 = tl.load(in_ptr0 + (x0 + 128 * x1 + 3072 * x2), None)
    tmp1 = tl.load(in_ptr0 + (64 + x0 + 128 * x1 + 3072 * x2), None)
    tmp3 = tl.load(in_ptr0 + (1536 + x0 + 128 * x1 + 3072 * x2), None)
    tmp5 = tl.load(in_ptr0 + (1600 + x0 + 128 * x1 + 3072 * x2), None)
    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, None)
    tl.store(out_ptr1 + x3, tmp16, None)


@triton.jit
def triton_poi_fused_convolution_relu_9(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)
    x2 = xindex
    x0 = xindex % 128
    tmp0 = tl.load(in_out_ptr0 + x2, None)
    tmp1 = tl.load(in_ptr0 + x0, 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 + x2, tmp4, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_10(in_ptr0, out_ptr0, out_ptr1,
    xnumel, XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x0 = xindex % 128
    x1 = xindex // 128 % 6
    x2 = xindex // 768
    x3 = xindex
    tmp0 = tl.load(in_ptr0 + (x0 + 256 * x1 + 3072 * x2), None)
    tmp1 = tl.load(in_ptr0 + (128 + x0 + 256 * x1 + 3072 * x2), None)
    tmp3 = tl.load(in_ptr0 + (1536 + x0 + 256 * x1 + 3072 * x2), None)
    tmp5 = tl.load(in_ptr0 + (1664 + x0 + 256 * x1 + 3072 * x2), None)
    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, None)
    tl.store(out_ptr1 + x3, tmp16, None)


@triton.jit
def triton_poi_fused_convolution_relu_11(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)
    x2 = xindex
    x0 = xindex % 256
    tmp0 = tl.load(in_out_ptr0 + x2, None)
    tmp1 = tl.load(in_ptr0 + x0, 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 + x2, tmp4, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_12(in_ptr0, out_ptr0, out_ptr1,
    ynumel, xnumel, YBLOCK: tl.constexpr, XBLOCK: tl.constexpr):
    ynumel = 36
    xnumel = 256
    yoffset = tl.program_id(1) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    ymask = yindex < ynumel
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y0 = yindex % 3
    y1 = yindex // 3
    y5 = yindex
    y4 = yindex // 9
    y6 = yindex % 9
    tmp0 = tl.load(in_ptr0 + (x2 + 512 * y0 + 3072 * y1), xmask & ymask,
        eviction_policy='evict_last')
    tmp1 = tl.load(in_ptr0 + (256 + x2 + 512 * y0 + 3072 * y1), xmask &
        ymask, eviction_policy='evict_last')
    tmp7 = tl.load(in_ptr0 + (1536 + x2 + 512 * y0 + 3072 * y1), xmask &
        ymask, eviction_policy='evict_last')
    tmp12 = tl.load(in_ptr0 + (1792 + x2 + 512 * y0 + 3072 * y1), xmask &
        ymask, eviction_policy='evict_last')
    tmp2 = tmp1 > tmp0
    tmp3 = tl.full([1, 1], 1, tl.int8)
    tmp4 = tl.full([1, 1], 0, tl.int8)
    tmp5 = tl.where(tmp2, tmp3, tmp4)
    tmp6 = triton_helpers.maximum(tmp1, tmp0)
    tmp8 = tmp7 > tmp6
    tmp9 = tl.full([1, 1], 2, tl.int8)
    tmp10 = tl.where(tmp8, tmp9, tmp5)
    tmp11 = triton_helpers.maximum(tmp7, tmp6)
    tmp13 = tmp12 > tmp11
    tmp14 = tl.full([1, 1], 3, tl.int8)
    tmp15 = tl.where(tmp13, tmp14, tmp10)
    tmp16 = triton_helpers.maximum(tmp12, tmp11)
    tl.store(out_ptr0 + (x2 + 256 * y5), tmp15, xmask & ymask)
    tl.store(out_ptr1 + (y6 + 9 * x2 + 2304 * y4), tmp16, xmask & ymask)


@triton.jit
def triton_poi_fused_relu_13(in_out_ptr0, in_ptr0, xnumel, XBLOCK: tl.constexpr
    ):
    xnumel = 256
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex
    x0 = xindex % 64
    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, 3, 48, 48), (6912, 2304, 48, 1))
    assert_size_stride(primals_2, (32, 3, 5, 5), (75, 25, 5, 1))
    assert_size_stride(primals_3, (32,), (1,))
    assert_size_stride(primals_4, (64, 32, 5, 5), (800, 25, 5, 1))
    assert_size_stride(primals_5, (64,), (1,))
    assert_size_stride(primals_6, (128, 64, 5, 5), (1600, 25, 5, 1))
    assert_size_stride(primals_7, (128,), (1,))
    assert_size_stride(primals_8, (256, 128, 5, 5), (3200, 25, 5, 1))
    assert_size_stride(primals_9, (256,), (1,))
    assert_size_stride(primals_10, (64, 2304), (2304, 1))
    assert_size_stride(primals_11, (64,), (1,))
    assert_size_stride(primals_12, (1, 64), (64, 1))
    assert_size_stride(primals_13, (1,), (1,))
    with torch.cuda._DeviceGuard(0):
        torch.cuda.set_device(0)
        buf0 = empty_strided_cuda((4, 3, 48, 48), (6912, 1, 144, 3), torch.
            float32)
        get_raw_stream(0)
        triton_poi_fused_0[grid(12, 2304)](primals_1, buf0, 12, 2304,
            XBLOCK=64, YBLOCK=16, num_warps=4, num_stages=1)
        del primals_1
        buf1 = empty_strided_cuda((32, 3, 5, 5), (75, 1, 15, 3), torch.float32)
        triton_poi_fused_1[grid(96, 25)](primals_2, buf1, 96, 25, XBLOCK=32,
            YBLOCK=32, num_warps=4, num_stages=1)
        del primals_2
        buf2 = empty_strided_cuda((64, 32, 5, 5), (800, 1, 160, 32), torch.
            float32)
        triton_poi_fused_2[grid(2048, 25)](primals_4, buf2, 2048, 25,
            XBLOCK=32, YBLOCK=32, num_warps=4, num_stages=1)
        del primals_4
        buf3 = empty_strided_cuda((128, 64, 5, 5), (1600, 1, 320, 64),
            torch.float32)
        triton_poi_fused_3[grid(8192, 25)](primals_6, buf3, 8192, 25,
            XBLOCK=32, YBLOCK=32, num_warps=4, num_stages=1)
        del primals_6
        buf4 = empty_strided_cuda((256, 128, 5, 5), (3200, 1, 640, 128),
            torch.float32)
        triton_poi_fused_4[grid(32768, 25)](primals_8, buf4, 32768, 25,
            XBLOCK=32, YBLOCK=32, num_warps=4, num_stages=1)
        del primals_8
        buf5 = extern_kernels.convolution(buf0, buf1, stride=(1, 1),
            padding=(2, 2), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf5, (4, 32, 48, 48), (73728, 1, 1536, 32))
        buf6 = buf5
        del buf5
        triton_poi_fused_convolution_relu_5[grid(294912)](buf6, primals_3, 
            294912, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_3
        buf7 = empty_strided_cuda((4, 32, 24, 24), (18432, 1, 768, 32),
            torch.float32)
        buf8 = empty_strided_cuda((4, 32, 24, 24), (18432, 1, 768, 32),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_6[grid(73728)](buf6, buf7,
            buf8, 73728, XBLOCK=512, num_warps=8, num_stages=1)
        buf9 = extern_kernels.convolution(buf7, buf2, stride=(1, 1),
            padding=(2, 2), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf9, (4, 64, 24, 24), (36864, 1, 1536, 64))
        buf10 = buf9
        del buf9
        triton_poi_fused_convolution_relu_7[grid(147456)](buf10, primals_5,
            147456, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_5
        buf11 = empty_strided_cuda((4, 64, 12, 12), (9216, 1, 768, 64),
            torch.float32)
        buf12 = empty_strided_cuda((4, 64, 12, 12), (9216, 1, 768, 64),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_8[grid(36864)](buf10,
            buf11, buf12, 36864, XBLOCK=512, num_warps=4, num_stages=1)
        buf13 = extern_kernels.convolution(buf11, buf3, stride=(1, 1),
            padding=(2, 2), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf13, (4, 128, 12, 12), (18432, 1, 1536, 128))
        buf14 = buf13
        del buf13
        triton_poi_fused_convolution_relu_9[grid(73728)](buf14, primals_7, 
            73728, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_7
        buf15 = empty_strided_cuda((4, 128, 6, 6), (4608, 1, 768, 128),
            torch.float32)
        buf16 = empty_strided_cuda((4, 128, 6, 6), (4608, 1, 768, 128),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_10[grid(18432)](buf14,
            buf15, buf16, 18432, XBLOCK=256, num_warps=4, num_stages=1)
        buf17 = extern_kernels.convolution(buf15, buf4, stride=(1, 1),
            padding=(2, 2), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf17, (4, 256, 6, 6), (9216, 1, 1536, 256))
        buf18 = buf17
        del buf17
        triton_poi_fused_convolution_relu_11[grid(36864)](buf18, primals_9,
            36864, XBLOCK=512, num_warps=4, num_stages=1)
        del primals_9
        buf19 = empty_strided_cuda((4, 256, 3, 3), (2304, 1, 768, 256),
            torch.int8)
        buf20 = empty_strided_cuda((4, 256, 3, 3), (2304, 9, 3, 1), torch.
            float32)
        triton_poi_fused_max_pool2d_with_indices_12[grid(36, 256)](buf18,
            buf19, buf20, 36, 256, XBLOCK=4, YBLOCK=64, num_warps=4,
            num_stages=1)
        buf21 = empty_strided_cuda((4, 64), (64, 1), torch.float32)
        extern_kernels.mm(reinterpret_tensor(buf20, (4, 2304), (2304, 1), 0
            ), reinterpret_tensor(primals_10, (2304, 64), (1, 2304), 0),
            out=buf21)
        buf22 = buf21
        del buf21
        triton_poi_fused_relu_13[grid(256)](buf22, primals_11, 256, XBLOCK=
            128, num_warps=4, num_stages=1)
        del primals_11
        buf24 = empty_strided_cuda((4, 1), (1, 1), torch.float32)
        extern_kernels.addmm(primals_13, buf22, reinterpret_tensor(
            primals_12, (64, 1), (1, 64), 0), alpha=1, beta=1, out=buf24)
        del primals_13
    return (buf24, buf0, buf1, buf2, buf3, buf4, buf6, buf7, buf8, buf10,
        buf11, buf12, buf14, buf15, buf16, buf18, buf19, reinterpret_tensor
        (buf20, (4, 2304), (2304, 1), 0), buf22, primals_12, primals_10)


class SVHNConvNetNew(nn.Module):

    def __init__(self):
        super(SVHNConvNetNew, self).__init__()
        self.conv1 = nn.Conv2d(3, 32, 5, 1, 2)
        self.conv2 = nn.Conv2d(32, 64, 5, 1, 2)
        self.conv3 = nn.Conv2d(64, 128, 5, 1, 2)
        self.conv4 = nn.Conv2d(128, 256, 5, 1, 2)
        self.fc1 = nn.Linear(3 * 3 * 256, 64)
        self.fc2 = nn.Linear(64, 1)

    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_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: 0.28332