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_0(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    ynumel = 12
    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]
    tl.full([XBLOCK, YBLOCK], True, tl.int1)
    x2 = xindex
    y3 = yindex
    y0 = yindex % 3
    y1 = yindex // 3
    tmp0 = tl.load(in_ptr0 + (x2 + 4096 * y3), ymask, eviction_policy=
        'evict_last')
    tl.store(out_ptr0 + (y0 + 3 * x2 + 12288 * y1), tmp0, ymask)


@triton.jit
def triton_poi_fused_1(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    ynumel = 48
    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):
    ynumel = 512
    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 % 16
    y1 = yindex // 16
    tmp0 = tl.load(in_ptr0 + (x2 + 25 * y3), xmask & ymask, eviction_policy
        ='evict_last')
    tl.store(out_ptr0 + (y0 + 16 * x2 + 400 * y1), tmp0, xmask & ymask)


@triton.jit
def triton_poi_fused_3(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 9
    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 + 9 * y3), xmask, eviction_policy='evict_last'
        )
    tl.store(out_ptr0 + (y0 + 32 * x2 + 288 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_4(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 9
    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 + 9 * y3), xmask, eviction_policy='evict_last'
        )
    tl.store(out_ptr0 + (y0 + 64 * x2 + 576 * 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 % 16
    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 % 16
    x1 = xindex // 16 % 32
    x2 = xindex // 512
    x3 = xindex
    tmp0 = tl.load(in_ptr0 + (x0 + 32 * x1 + 2048 * x2), None)
    tmp1 = tl.load(in_ptr0 + (16 + x0 + 32 * x1 + 2048 * x2), None)
    tmp3 = tl.load(in_ptr0 + (1024 + x0 + 32 * x1 + 2048 * x2), None)
    tmp5 = tl.load(in_ptr0 + (1040 + x0 + 32 * x1 + 2048 * 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 % 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_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 % 32
    x1 = xindex // 32 % 16
    x2 = xindex // 512
    x3 = xindex
    tmp0 = tl.load(in_ptr0 + (x0 + 64 * x1 + 2048 * x2), None)
    tmp1 = tl.load(in_ptr0 + (32 + x0 + 64 * x1 + 2048 * x2), None)
    tmp3 = tl.load(in_ptr0 + (1024 + x0 + 64 * x1 + 2048 * x2), None)
    tmp5 = tl.load(in_ptr0 + (1056 + x0 + 64 * x1 + 2048 * 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 % 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_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 % 64
    x1 = xindex // 64 % 8
    x2 = xindex // 512
    x3 = xindex
    tmp0 = tl.load(in_ptr0 + (x0 + 128 * x1 + 2048 * x2), None)
    tmp1 = tl.load(in_ptr0 + (64 + x0 + 128 * x1 + 2048 * x2), None)
    tmp3 = tl.load(in_ptr0 + (1024 + x0 + 128 * x1 + 2048 * x2), None)
    tmp5 = tl.load(in_ptr0 + (1088 + x0 + 128 * x1 + 2048 * 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 % 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_12(in_ptr0, out_ptr0, out_ptr1,
    ynumel, xnumel, YBLOCK: tl.constexpr, XBLOCK: tl.constexpr):
    ynumel = 64
    xnumel = 128
    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 % 4
    y1 = yindex // 4
    y5 = yindex
    y4 = yindex // 16
    y6 = yindex % 16
    tmp0 = tl.load(in_ptr0 + (x2 + 256 * y0 + 2048 * y1), xmask & ymask,
        eviction_policy='evict_last')
    tmp1 = tl.load(in_ptr0 + (128 + x2 + 256 * y0 + 2048 * y1), xmask &
        ymask, eviction_policy='evict_last')
    tmp7 = tl.load(in_ptr0 + (1024 + x2 + 256 * y0 + 2048 * y1), xmask &
        ymask, eviction_policy='evict_last')
    tmp12 = tl.load(in_ptr0 + (1152 + x2 + 256 * y0 + 2048 * 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 + 128 * y5), tmp15, xmask & ymask)
    tl.store(out_ptr1 + (y6 + 16 * x2 + 2048 * y4), tmp16, xmask & ymask)


@triton.jit
def triton_poi_fused_relu_13(in_out_ptr0, in_ptr0, xnumel, XBLOCK: tl.constexpr
    ):
    xnumel = 1024
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex
    x0 = xindex % 256
    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_14(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, primals_14, primals_15) = args
    args.clear()
    assert_size_stride(primals_1, (4, 3, 64, 64), (12288, 4096, 64, 1))
    assert_size_stride(primals_2, (16, 3, 5, 5), (75, 25, 5, 1))
    assert_size_stride(primals_3, (16,), (1,))
    assert_size_stride(primals_4, (32, 16, 5, 5), (400, 25, 5, 1))
    assert_size_stride(primals_5, (32,), (1,))
    assert_size_stride(primals_6, (64, 32, 3, 3), (288, 9, 3, 1))
    assert_size_stride(primals_7, (64,), (1,))
    assert_size_stride(primals_8, (128, 64, 3, 3), (576, 9, 3, 1))
    assert_size_stride(primals_9, (128,), (1,))
    assert_size_stride(primals_10, (256, 2048), (2048, 1))
    assert_size_stride(primals_11, (256,), (1,))
    assert_size_stride(primals_12, (64, 256), (256, 1))
    assert_size_stride(primals_13, (64,), (1,))
    assert_size_stride(primals_14, (7, 64), (64, 1))
    assert_size_stride(primals_15, (7,), (1,))
    with torch.cuda._DeviceGuard(0):
        torch.cuda.set_device(0)
        buf0 = empty_strided_cuda((4, 3, 64, 64), (12288, 1, 192, 3), torch
            .float32)
        get_raw_stream(0)
        triton_poi_fused_0[grid(12, 4096)](primals_1, buf0, 12, 4096,
            XBLOCK=64, YBLOCK=16, num_warps=4, num_stages=1)
        del primals_1
        buf1 = empty_strided_cuda((16, 3, 5, 5), (75, 1, 15, 3), torch.float32)
        triton_poi_fused_1[grid(48, 25)](primals_2, buf1, 48, 25, XBLOCK=32,
            YBLOCK=32, num_warps=4, num_stages=1)
        del primals_2
        buf2 = empty_strided_cuda((32, 16, 5, 5), (400, 1, 80, 16), torch.
            float32)
        triton_poi_fused_2[grid(512, 25)](primals_4, buf2, 512, 25, XBLOCK=
            32, YBLOCK=32, num_warps=4, num_stages=1)
        del primals_4
        buf3 = empty_strided_cuda((64, 32, 3, 3), (288, 1, 96, 32), torch.
            float32)
        triton_poi_fused_3[grid(2048, 9)](primals_6, buf3, 2048, 9, XBLOCK=
            16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_6
        buf4 = empty_strided_cuda((128, 64, 3, 3), (576, 1, 192, 64), torch
            .float32)
        triton_poi_fused_4[grid(8192, 9)](primals_8, buf4, 8192, 9, XBLOCK=
            16, YBLOCK=64, 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, 16, 64, 64), (65536, 1, 1024, 16))
        buf6 = buf5
        del buf5
        triton_poi_fused_convolution_relu_5[grid(262144)](buf6, primals_3, 
            262144, XBLOCK=512, num_warps=8, num_stages=1)
        del primals_3
        buf7 = empty_strided_cuda((4, 16, 32, 32), (16384, 1, 512, 16),
            torch.float32)
        buf8 = empty_strided_cuda((4, 16, 32, 32), (16384, 1, 512, 16),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_6[grid(65536)](buf6, buf7,
            buf8, 65536, XBLOCK=512, num_warps=4, 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, 32, 32, 32), (32768, 1, 1024, 32))
        buf10 = buf9
        del buf9
        triton_poi_fused_convolution_relu_7[grid(131072)](buf10, primals_5,
            131072, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_5
        buf11 = empty_strided_cuda((4, 32, 16, 16), (8192, 1, 512, 32),
            torch.float32)
        buf12 = empty_strided_cuda((4, 32, 16, 16), (8192, 1, 512, 32),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_8[grid(32768)](buf10,
            buf11, buf12, 32768, XBLOCK=128, num_warps=4, num_stages=1)
        buf13 = extern_kernels.convolution(buf11, buf3, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf13, (4, 64, 16, 16), (16384, 1, 1024, 64))
        buf14 = buf13
        del buf13
        triton_poi_fused_convolution_relu_9[grid(65536)](buf14, primals_7, 
            65536, XBLOCK=512, num_warps=4, num_stages=1)
        del primals_7
        buf15 = empty_strided_cuda((4, 64, 8, 8), (4096, 1, 512, 64), torch
            .float32)
        buf16 = empty_strided_cuda((4, 64, 8, 8), (4096, 1, 512, 64), torch
            .int8)
        triton_poi_fused_max_pool2d_with_indices_10[grid(16384)](buf14,
            buf15, buf16, 16384, XBLOCK=256, num_warps=4, num_stages=1)
        buf17 = extern_kernels.convolution(buf15, buf4, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf17, (4, 128, 8, 8), (8192, 1, 1024, 128))
        buf18 = buf17
        del buf17
        triton_poi_fused_convolution_relu_11[grid(32768)](buf18, primals_9,
            32768, XBLOCK=128, num_warps=4, num_stages=1)
        del primals_9
        buf19 = empty_strided_cuda((4, 128, 4, 4), (2048, 1, 512, 128),
            torch.int8)
        buf20 = empty_strided_cuda((4, 128, 4, 4), (2048, 16, 4, 1), torch.
            float32)
        triton_poi_fused_max_pool2d_with_indices_12[grid(64, 128)](buf18,
            buf19, buf20, 64, 128, XBLOCK=128, YBLOCK=2, num_warps=4,
            num_stages=1)
        buf21 = empty_strided_cuda((4, 256), (256, 1), torch.float32)
        extern_kernels.mm(reinterpret_tensor(buf20, (4, 2048), (2048, 1), 0
            ), reinterpret_tensor(primals_10, (2048, 256), (1, 2048), 0),
            out=buf21)
        buf22 = buf21
        del buf21
        triton_poi_fused_relu_13[grid(1024)](buf22, primals_11, 1024,
            XBLOCK=256, num_warps=4, num_stages=1)
        del primals_11
        buf23 = empty_strided_cuda((4, 64), (64, 1), torch.float32)
        extern_kernels.mm(buf22, reinterpret_tensor(primals_12, (256, 64),
            (1, 256), 0), out=buf23)
        buf24 = buf23
        del buf23
        triton_poi_fused_relu_14[grid(256)](buf24, primals_13, 256, XBLOCK=
            128, num_warps=4, num_stages=1)
        del primals_13
        buf25 = empty_strided_cuda((4, 7), (7, 1), torch.float32)
        extern_kernels.addmm(primals_15, buf24, reinterpret_tensor(
            primals_14, (64, 7), (1, 64), 0), alpha=1, beta=1, out=buf25)
        del primals_15
    return (buf25, buf0, buf1, buf2, buf3, buf4, buf6, buf7, buf8, buf10,
        buf11, buf12, buf14, buf15, buf16, buf18, buf19, reinterpret_tensor
        (buf20, (4, 2048), (2048, 1), 0), buf22, buf24, primals_14,
        primals_12, primals_10)


class CNNNew(nn.Module):

    def __init__(self, action_dim=7):
        super(CNNNew, self).__init__()
        self.action_dim = action_dim
        self.conv1 = nn.Conv2d(3, 16, 5, padding=2)
        self.conv2 = nn.Conv2d(16, 32, 5, padding=2)
        self.conv3 = nn.Conv2d(32, 64, 3, padding=1)
        self.conv4 = nn.Conv2d(64, 128, 3, padding=1)
        self.fc1 = nn.Linear(128 * 4 * 4, 256)
        self.fc2 = nn.Linear(256, 64)
        self.fc3 = nn.Linear(64, self.action_dim)

    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.fc3.weight
        primals_15 = 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, primals_14,
            primals_15])
        return output[0]


Measured latency_ms: 0.29752