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 torchvision import transforms as transforms
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_0(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    ynumel = 192
    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_1(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_2(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 16
    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 + 16 * y3), xmask, eviction_policy=
        'evict_last')
    tl.store(out_ptr0 + (y0 + 64 * x2 + 1024 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_3(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 16
    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 + 16 * y3), xmask, eviction_policy=
        'evict_last')
    tl.store(out_ptr0 + (y0 + 64 * x2 + 1024 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_4(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 16
    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 + 16 * y3), xmask, eviction_policy=
        'evict_last')
    tl.store(out_ptr0 + (y0 + 128 * x2 + 2048 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_5(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 16
    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 + 16 * y3), xmask, eviction_policy=
        'evict_last')
    tl.store(out_ptr0 + (y0 + 128 * x2 + 2048 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_6(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 16
    yoffset = (tl.program_id(1) + tl.program_id(2) * tl.num_programs(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 % 256
    y1 = yindex // 256
    tmp0 = tl.load(in_ptr0 + (x2 + 16 * y3), xmask, eviction_policy=
        'evict_last')
    tl.store(out_ptr0 + (y0 + 256 * x2 + 4096 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_convolution_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
    tl.store(in_out_ptr0 + x2, tmp2, None)


@triton.jit
def triton_poi_fused_convolution_8(in_out_ptr0, in_ptr0, xnumel, XBLOCK: tl
    .constexpr):
    xnumel = 1218816
    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
    tl.store(in_out_ptr0 + x2, tmp2, xmask)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_9(in_ptr0, out_ptr0, out_ptr1,
    xnumel, XBLOCK: tl.constexpr):
    xnumel = 313600
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex // 2240 % 35
    x1 = xindex // 64 % 35
    x0 = xindex % 64
    x3 = xindex // 78400
    x6 = xindex
    tmp0 = -1 + 2 * x2
    tmp1 = tl.full([1], 0, tl.int64)
    tmp2 = tmp0 >= tmp1
    tmp3 = tl.full([1], 69, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tmp2 & tmp4
    tmp6 = -1 + 2 * x1
    tmp7 = tmp6 >= tmp1
    tmp8 = tmp6 < tmp3
    tmp9 = tmp7 & tmp8
    tmp10 = tmp5 & tmp9
    tmp11 = tl.load(in_ptr0 + (-4480 + x0 + 128 * x1 + 8832 * x2 + 304704 *
        x3), tmp10 & xmask, other=float('-inf'))
    tmp12 = 2 * x1
    tmp13 = tmp12 >= tmp1
    tmp14 = tmp12 < tmp3
    tmp15 = tmp13 & tmp14
    tmp16 = tmp5 & tmp15
    tmp17 = tl.load(in_ptr0 + (-4416 + x0 + 128 * x1 + 8832 * x2 + 304704 *
        x3), tmp16 & xmask, other=float('-inf'))
    tmp18 = triton_helpers.maximum(tmp17, tmp11)
    tmp19 = 1 + 2 * x1
    tmp20 = tmp19 >= tmp1
    tmp21 = tmp19 < tmp3
    tmp22 = tmp20 & tmp21
    tmp23 = tmp5 & tmp22
    tmp24 = tl.load(in_ptr0 + (-4352 + x0 + 128 * x1 + 8832 * x2 + 304704 *
        x3), tmp23 & xmask, other=float('-inf'))
    tmp25 = triton_helpers.maximum(tmp24, tmp18)
    tmp26 = 2 * x2
    tmp27 = tmp26 >= tmp1
    tmp28 = tmp26 < tmp3
    tmp29 = tmp27 & tmp28
    tmp30 = tmp29 & tmp9
    tmp31 = tl.load(in_ptr0 + (-64 + x0 + 128 * x1 + 8832 * x2 + 304704 *
        x3), tmp30 & xmask, other=float('-inf'))
    tmp32 = triton_helpers.maximum(tmp31, tmp25)
    tmp33 = tmp29 & tmp15
    tmp34 = tl.load(in_ptr0 + (x0 + 128 * x1 + 8832 * x2 + 304704 * x3), 
        tmp33 & xmask, other=float('-inf'))
    tmp35 = triton_helpers.maximum(tmp34, tmp32)
    tmp36 = tmp29 & tmp22
    tmp37 = tl.load(in_ptr0 + (64 + x0 + 128 * x1 + 8832 * x2 + 304704 * x3
        ), tmp36 & xmask, other=float('-inf'))
    tmp38 = triton_helpers.maximum(tmp37, tmp35)
    tmp39 = 1 + 2 * x2
    tmp40 = tmp39 >= tmp1
    tmp41 = tmp39 < tmp3
    tmp42 = tmp40 & tmp41
    tmp43 = tmp42 & tmp9
    tmp44 = tl.load(in_ptr0 + (4352 + x0 + 128 * x1 + 8832 * x2 + 304704 *
        x3), tmp43 & xmask, other=float('-inf'))
    tmp45 = triton_helpers.maximum(tmp44, tmp38)
    tmp46 = tmp42 & tmp15
    tmp47 = tl.load(in_ptr0 + (4416 + x0 + 128 * x1 + 8832 * x2 + 304704 *
        x3), tmp46 & xmask, other=float('-inf'))
    tmp48 = triton_helpers.maximum(tmp47, tmp45)
    tmp49 = tmp42 & tmp22
    tmp50 = tl.load(in_ptr0 + (4480 + x0 + 128 * x1 + 8832 * x2 + 304704 *
        x3), tmp49 & xmask, other=float('-inf'))
    tmp51 = triton_helpers.maximum(tmp50, tmp48)
    tmp52 = tmp17 > tmp11
    tmp53 = tl.full([1], 1, tl.int8)
    tmp54 = tl.full([1], 0, tl.int8)
    tmp55 = tl.where(tmp52, tmp53, tmp54)
    tmp56 = tmp24 > tmp18
    tmp57 = tl.full([1], 2, tl.int8)
    tmp58 = tl.where(tmp56, tmp57, tmp55)
    tmp59 = tmp31 > tmp25
    tmp60 = tl.full([1], 3, tl.int8)
    tmp61 = tl.where(tmp59, tmp60, tmp58)
    tmp62 = tmp34 > tmp32
    tmp63 = tl.full([1], 4, tl.int8)
    tmp64 = tl.where(tmp62, tmp63, tmp61)
    tmp65 = tmp37 > tmp35
    tmp66 = tl.full([1], 5, tl.int8)
    tmp67 = tl.where(tmp65, tmp66, tmp64)
    tmp68 = tmp44 > tmp38
    tmp69 = tl.full([1], 6, tl.int8)
    tmp70 = tl.where(tmp68, tmp69, tmp67)
    tmp71 = tmp47 > tmp45
    tmp72 = tl.full([1], 7, tl.int8)
    tmp73 = tl.where(tmp71, tmp72, tmp70)
    tmp74 = tmp50 > tmp48
    tmp75 = tl.full([1], 8, tl.int8)
    tmp76 = tl.where(tmp74, tmp75, tmp73)
    tl.store(out_ptr0 + x6, tmp51, xmask)
    tl.store(out_ptr1 + x6, tmp76, xmask)


@triton.jit
def triton_poi_fused_convolution_10(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
    tl.store(in_out_ptr0 + x2, tmp2, None)


@triton.jit
def triton_poi_fused_convolution_11(in_out_ptr0, in_ptr0, xnumel, XBLOCK:
    tl.constexpr):
    xnumel = 1036800
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex
    x0 = xindex % 128
    tmp0 = tl.load(in_out_ptr0 + x2, xmask)
    tmp1 = tl.load(in_ptr0 + x0, xmask, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tl.store(in_out_ptr0 + x2, tmp2, xmask)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_12(in_ptr0, out_ptr0, out_ptr1,
    xnumel, XBLOCK: tl.constexpr):
    xnumel = 270848
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex // 2944 % 23
    x1 = xindex // 128 % 23
    x0 = xindex % 128
    x3 = xindex // 67712
    x6 = xindex
    tmp0 = -1 + 2 * x2
    tmp1 = tl.full([1], 0, tl.int64)
    tmp2 = tmp0 >= tmp1
    tmp3 = tl.full([1], 45, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tmp2 & tmp4
    tmp6 = -1 + 2 * x1
    tmp7 = tmp6 >= tmp1
    tmp8 = tmp6 < tmp3
    tmp9 = tmp7 & tmp8
    tmp10 = tmp5 & tmp9
    tmp11 = tl.load(in_ptr0 + (-5888 + x0 + 256 * x1 + 11520 * x2 + 259200 *
        x3), tmp10 & xmask, other=float('-inf'))
    tmp12 = 2 * x1
    tmp13 = tmp12 >= tmp1
    tmp14 = tmp12 < tmp3
    tmp15 = tmp13 & tmp14
    tmp16 = tmp5 & tmp15
    tmp17 = tl.load(in_ptr0 + (-5760 + x0 + 256 * x1 + 11520 * x2 + 259200 *
        x3), tmp16 & xmask, other=float('-inf'))
    tmp18 = triton_helpers.maximum(tmp17, tmp11)
    tmp19 = 1 + 2 * x1
    tmp20 = tmp19 >= tmp1
    tmp21 = tmp19 < tmp3
    tmp22 = tmp20 & tmp21
    tmp23 = tmp5 & tmp22
    tmp24 = tl.load(in_ptr0 + (-5632 + x0 + 256 * x1 + 11520 * x2 + 259200 *
        x3), tmp23 & xmask, other=float('-inf'))
    tmp25 = triton_helpers.maximum(tmp24, tmp18)
    tmp26 = 2 * x2
    tmp27 = tmp26 >= tmp1
    tmp28 = tmp26 < tmp3
    tmp29 = tmp27 & tmp28
    tmp30 = tmp29 & tmp9
    tmp31 = tl.load(in_ptr0 + (-128 + x0 + 256 * x1 + 11520 * x2 + 259200 *
        x3), tmp30 & xmask, other=float('-inf'))
    tmp32 = triton_helpers.maximum(tmp31, tmp25)
    tmp33 = tmp29 & tmp15
    tmp34 = tl.load(in_ptr0 + (x0 + 256 * x1 + 11520 * x2 + 259200 * x3), 
        tmp33 & xmask, other=float('-inf'))
    tmp35 = triton_helpers.maximum(tmp34, tmp32)
    tmp36 = tmp29 & tmp22
    tmp37 = tl.load(in_ptr0 + (128 + x0 + 256 * x1 + 11520 * x2 + 259200 *
        x3), tmp36 & xmask, other=float('-inf'))
    tmp38 = triton_helpers.maximum(tmp37, tmp35)
    tmp39 = 1 + 2 * x2
    tmp40 = tmp39 >= tmp1
    tmp41 = tmp39 < tmp3
    tmp42 = tmp40 & tmp41
    tmp43 = tmp42 & tmp9
    tmp44 = tl.load(in_ptr0 + (5632 + x0 + 256 * x1 + 11520 * x2 + 259200 *
        x3), tmp43 & xmask, other=float('-inf'))
    tmp45 = triton_helpers.maximum(tmp44, tmp38)
    tmp46 = tmp42 & tmp15
    tmp47 = tl.load(in_ptr0 + (5760 + x0 + 256 * x1 + 11520 * x2 + 259200 *
        x3), tmp46 & xmask, other=float('-inf'))
    tmp48 = triton_helpers.maximum(tmp47, tmp45)
    tmp49 = tmp42 & tmp22
    tmp50 = tl.load(in_ptr0 + (5888 + x0 + 256 * x1 + 11520 * x2 + 259200 *
        x3), tmp49 & xmask, other=float('-inf'))
    tmp51 = triton_helpers.maximum(tmp50, tmp48)
    tmp52 = tmp17 > tmp11
    tmp53 = tl.full([1], 1, tl.int8)
    tmp54 = tl.full([1], 0, tl.int8)
    tmp55 = tl.where(tmp52, tmp53, tmp54)
    tmp56 = tmp24 > tmp18
    tmp57 = tl.full([1], 2, tl.int8)
    tmp58 = tl.where(tmp56, tmp57, tmp55)
    tmp59 = tmp31 > tmp25
    tmp60 = tl.full([1], 3, tl.int8)
    tmp61 = tl.where(tmp59, tmp60, tmp58)
    tmp62 = tmp34 > tmp32
    tmp63 = tl.full([1], 4, tl.int8)
    tmp64 = tl.where(tmp62, tmp63, tmp61)
    tmp65 = tmp37 > tmp35
    tmp66 = tl.full([1], 5, tl.int8)
    tmp67 = tl.where(tmp65, tmp66, tmp64)
    tmp68 = tmp44 > tmp38
    tmp69 = tl.full([1], 6, tl.int8)
    tmp70 = tl.where(tmp68, tmp69, tmp67)
    tmp71 = tmp47 > tmp45
    tmp72 = tl.full([1], 7, tl.int8)
    tmp73 = tl.where(tmp71, tmp72, tmp70)
    tmp74 = tmp50 > tmp48
    tmp75 = tl.full([1], 8, tl.int8)
    tmp76 = tl.where(tmp74, tmp75, tmp73)
    tl.store(out_ptr0 + x6, tmp51, xmask)
    tl.store(out_ptr1 + x6, tmp76, xmask)


@triton.jit
def triton_poi_fused_convolution_13(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
    tl.store(in_out_ptr0 + x2, tmp2, None)


@triton.jit
def triton_poi_fused_convolution_14(in_out_ptr0, in_ptr0, xnumel, XBLOCK:
    tl.constexpr):
    xnumel = 1115136
    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
    tl.store(in_out_ptr0 + x2, tmp2, xmask)


@triton.jit
def triton_poi_fused_convolution_15(in_out_ptr0, in_ptr0, xnumel, XBLOCK:
    tl.constexpr):
    xnumel = 557568
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex
    x0 = xindex % 128
    tmp0 = tl.load(in_out_ptr0 + x2, xmask)
    tmp1 = tl.load(in_ptr0 + x0, xmask, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tl.store(in_out_ptr0 + x2, tmp2, xmask)


@triton.jit
def triton_poi_fused_convolution_16(in_ptr0, in_ptr1, out_ptr0, ynumel,
    xnumel, YBLOCK: tl.constexpr, XBLOCK: tl.constexpr):
    ynumel = 88
    xnumel = 1089
    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 % 22
    y1 = yindex // 22
    y3 = yindex
    tmp0 = tl.load(in_ptr0 + (y0 + 22 * x2 + 23958 * y1), xmask & ymask,
        eviction_policy='evict_last')
    tmp1 = tl.load(in_ptr1 + y0, ymask, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tl.store(out_ptr0 + (x2 + 1089 * y3), tmp2, xmask & ymask)


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, primals_16, primals_17) = args
    args.clear()
    assert_size_stride(primals_1, (64, 3, 5, 5), (75, 25, 5, 1))
    assert_size_stride(primals_2, (64,), (1,))
    assert_size_stride(primals_3, (4, 3, 64, 64), (12288, 4096, 64, 1))
    assert_size_stride(primals_4, (64, 64, 4, 4), (1024, 16, 4, 1))
    assert_size_stride(primals_5, (64,), (1,))
    assert_size_stride(primals_6, (128, 64, 4, 4), (1024, 16, 4, 1))
    assert_size_stride(primals_7, (128,), (1,))
    assert_size_stride(primals_8, (128, 128, 4, 4), (2048, 16, 4, 1))
    assert_size_stride(primals_9, (128,), (1,))
    assert_size_stride(primals_10, (256, 128, 4, 4), (2048, 16, 4, 1))
    assert_size_stride(primals_11, (256,), (1,))
    assert_size_stride(primals_12, (256, 256, 4, 4), (4096, 16, 4, 1))
    assert_size_stride(primals_13, (256,), (1,))
    assert_size_stride(primals_14, (128, 256, 1, 1), (256, 1, 1, 1))
    assert_size_stride(primals_15, (128,), (1,))
    assert_size_stride(primals_16, (22, 128, 1, 1), (128, 1, 1, 1))
    assert_size_stride(primals_17, (22,), (1,))
    with torch.cuda._DeviceGuard(0):
        torch.cuda.set_device(0)
        buf0 = empty_strided_cuda((64, 3, 5, 5), (75, 1, 15, 3), torch.float32)
        get_raw_stream(0)
        triton_poi_fused_0[grid(192, 25)](primals_1, buf0, 192, 25, XBLOCK=
            32, YBLOCK=32, num_warps=4, num_stages=1)
        del primals_1
        buf1 = empty_strided_cuda((4, 3, 64, 64), (12288, 1, 192, 3), torch
            .float32)
        triton_poi_fused_1[grid(12, 4096)](primals_3, buf1, 12, 4096,
            XBLOCK=64, YBLOCK=16, num_warps=4, num_stages=1)
        del primals_3
        buf2 = empty_strided_cuda((64, 64, 4, 4), (1024, 1, 256, 64), torch
            .float32)
        triton_poi_fused_2[grid(4096, 16)](primals_4, buf2, 4096, 16,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_4
        buf3 = empty_strided_cuda((128, 64, 4, 4), (1024, 1, 256, 64),
            torch.float32)
        triton_poi_fused_3[grid(8192, 16)](primals_6, buf3, 8192, 16,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_6
        buf4 = empty_strided_cuda((128, 128, 4, 4), (2048, 1, 512, 128),
            torch.float32)
        triton_poi_fused_4[grid(16384, 16)](primals_8, buf4, 16384, 16,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_8
        buf5 = empty_strided_cuda((256, 128, 4, 4), (2048, 1, 512, 128),
            torch.float32)
        triton_poi_fused_5[grid(32768, 16)](primals_10, buf5, 32768, 16,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_10
        buf6 = empty_strided_cuda((256, 256, 4, 4), (4096, 1, 1024, 256),
            torch.float32)
        triton_poi_fused_6[grid(65536, 16)](primals_12, buf6, 65536, 16,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_12
        buf7 = extern_kernels.convolution(buf1, buf0, stride=(1, 1),
            padding=(2, 2), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf7, (4, 64, 64, 64), (262144, 1, 4096, 64))
        buf8 = buf7
        del buf7
        triton_poi_fused_convolution_7[grid(1048576)](buf8, primals_2, 
            1048576, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_2
        buf9 = extern_kernels.convolution(buf8, buf2, stride=(1, 1),
            padding=(4, 4), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf9, (4, 64, 69, 69), (304704, 1, 4416, 64))
        buf10 = buf9
        del buf9
        triton_poi_fused_convolution_8[grid(1218816)](buf10, primals_5, 
            1218816, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_5
        buf11 = empty_strided_cuda((4, 64, 35, 35), (78400, 1, 2240, 64),
            torch.float32)
        buf12 = empty_strided_cuda((4, 64, 35, 35), (78400, 1, 2240, 64),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_9[grid(313600)](buf10,
            buf11, buf12, 313600, XBLOCK=512, num_warps=8, num_stages=1)
        buf13 = extern_kernels.convolution(buf11, buf3, stride=(1, 1),
            padding=(4, 4), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf13, (4, 128, 40, 40), (204800, 1, 5120, 128))
        buf14 = buf13
        del buf13
        triton_poi_fused_convolution_10[grid(819200)](buf14, primals_7, 
            819200, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_7
        buf15 = extern_kernels.convolution(buf14, buf4, stride=(1, 1),
            padding=(4, 4), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf15, (4, 128, 45, 45), (259200, 1, 5760, 128))
        buf16 = buf15
        del buf15
        triton_poi_fused_convolution_11[grid(1036800)](buf16, primals_9, 
            1036800, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_9
        buf17 = empty_strided_cuda((4, 128, 23, 23), (67712, 1, 2944, 128),
            torch.float32)
        buf18 = empty_strided_cuda((4, 128, 23, 23), (67712, 1, 2944, 128),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_12[grid(270848)](buf16,
            buf17, buf18, 270848, XBLOCK=512, num_warps=8, num_stages=1)
        buf19 = extern_kernels.convolution(buf17, buf5, stride=(1, 1),
            padding=(4, 4), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf19, (4, 256, 28, 28), (200704, 1, 7168, 256))
        buf20 = buf19
        del buf19
        triton_poi_fused_convolution_13[grid(802816)](buf20, primals_11, 
            802816, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_11
        buf21 = extern_kernels.convolution(buf20, buf6, stride=(1, 1),
            padding=(4, 4), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf21, (4, 256, 33, 33), (278784, 1, 8448, 256))
        buf22 = buf21
        del buf21
        triton_poi_fused_convolution_14[grid(1115136)](buf22, primals_13, 
            1115136, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_13
        buf23 = extern_kernels.convolution(buf22, primals_14, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf23, (4, 128, 33, 33), (139392, 1, 4224, 128))
        buf24 = buf23
        del buf23
        triton_poi_fused_convolution_15[grid(557568)](buf24, primals_15, 
            557568, XBLOCK=512, num_warps=8, num_stages=1)
        del primals_15
        buf25 = extern_kernels.convolution(buf24, primals_16, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf25, (4, 22, 33, 33), (23958, 1, 726, 22))
        buf26 = empty_strided_cuda((4, 22, 33, 33), (23958, 1089, 33, 1),
            torch.float32)
        triton_poi_fused_convolution_16[grid(88, 1089)](buf25, primals_17,
            buf26, 88, 1089, XBLOCK=32, YBLOCK=32, num_warps=4, num_stages=1)
        del buf25
        del primals_17
    return (buf26, buf0, buf1, buf2, buf3, buf4, buf5, buf6, primals_14,
        primals_16, buf8, buf10, buf11, buf12, buf14, buf16, buf17, buf18,
        buf20, buf22, buf24)


class Feature_extractionNew(nn.Module):

    def __init__(self, k, p):
        super(Feature_extractionNew, self).__init__()
        self.conv_1 = nn.Conv2d(3, 64, kernel_size=5, padding=2)
        self.conv_2 = nn.Conv2d(64, 64, kernel_size=k, padding=p)
        self.conv_3 = nn.Conv2d(64, 128, kernel_size=k, padding=p)
        self.conv_4 = nn.Conv2d(128, 128, kernel_size=k, padding=p)
        self.conv_5 = nn.Conv2d(128, 256, kernel_size=k, padding=p)
        self.conv_6 = nn.Conv2d(256, 256, kernel_size=k, padding=p)
        self.conv_7 = nn.Conv2d(256, 128, 1)
        self.conv_8 = nn.Conv2d(128, 22, 1)
        self.pool = nn.MaxPool2d(3, stride=2, padding=1)

    def forward(self, input_0):
        primals_1 = self.conv_1.weight
        primals_2 = self.conv_1.bias
        primals_4 = self.conv_2.weight
        primals_5 = self.conv_2.bias
        primals_6 = self.conv_3.weight
        primals_7 = self.conv_3.bias
        primals_8 = self.conv_4.weight
        primals_9 = self.conv_4.bias
        primals_10 = self.conv_5.weight
        primals_11 = self.conv_5.bias
        primals_12 = self.conv_6.weight
        primals_13 = self.conv_6.bias
        primals_14 = self.conv_7.weight
        primals_15 = self.conv_7.bias
        primals_16 = self.conv_8.weight
        primals_17 = self.conv_8.bias
        primals_3 = 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, primals_16, primals_17])
        return output[0]


Measured latency_ms: 0.028424