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
from torch.nn import init as init
from torchvision.models import vgg as vgg
from torch import autograd as autograd
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_clone_0(in_ptr0, out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x0 = xindex % 1024
    x1 = xindex // 1024
    x2 = xindex
    tmp0 = tl.load(in_ptr0 + (2048 + x0 + 5120 * x1), None)
    tl.store(out_ptr0 + x2, tmp0, None)


@triton.jit
def triton_poi_fused_convolution_1(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 // 16 % 64
    tmp0 = tl.load(in_out_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr0 + x1, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tl.store(in_out_ptr0 + x3, tmp2, None)


@triton.jit
def triton_poi_fused_convolution_2(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 // 16 % 64
    tmp0 = tl.load(in_out_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr0 + x1, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tl.store(in_out_ptr0 + x3, tmp2, None)


@triton.jit
def triton_per_fused_cat_mul_sum_3(in_ptr0, in_ptr1, out_ptr5, out_ptr6,
    out_ptr7, out_ptr8, out_ptr9, xnumel, rnumel, XBLOCK: tl.constexpr):
    xnumel = 64
    RBLOCK: tl.constexpr = 64
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    rindex = tl.arange(0, RBLOCK)[None, :]
    tl.full([XBLOCK, RBLOCK], True, tl.int1)
    r2 = rindex
    x0 = xindex % 16
    x1 = xindex // 16
    tmp0 = tl.load(in_ptr0 + (x0 + 16 * r2 + 5120 * x1), xmask, other=0.0)
    tmp1 = tl.load(in_ptr1 + (x0 + 16 * r2 + 1024 * x1), xmask, other=0.0)
    tmp7 = tl.load(in_ptr0 + (1024 + x0 + 16 * r2 + 5120 * x1), xmask,
        other=0.0)
    tmp13 = tl.load(in_ptr0 + (2048 + x0 + 16 * r2 + 5120 * x1), xmask,
        other=0.0)
    tmp19 = tl.load(in_ptr0 + (3072 + x0 + 16 * r2 + 5120 * x1), xmask,
        other=0.0)
    tmp25 = tl.load(in_ptr0 + (4096 + x0 + 16 * r2 + 5120 * x1), xmask,
        other=0.0)
    tmp2 = tmp0 * tmp1
    tmp3 = tl.broadcast_to(tmp2, [XBLOCK, RBLOCK])
    tmp5 = tl.where(xmask, tmp3, 0)
    tmp6 = tl.sum(tmp5, 1)[:, None]
    tmp8 = tmp7 * tmp1
    tmp9 = tl.broadcast_to(tmp8, [XBLOCK, RBLOCK])
    tmp11 = tl.where(xmask, tmp9, 0)
    tmp12 = tl.sum(tmp11, 1)[:, None]
    tmp14 = tmp13 * tmp1
    tmp15 = tl.broadcast_to(tmp14, [XBLOCK, RBLOCK])
    tmp17 = tl.where(xmask, tmp15, 0)
    tmp18 = tl.sum(tmp17, 1)[:, None]
    tmp20 = tmp19 * tmp1
    tmp21 = tl.broadcast_to(tmp20, [XBLOCK, RBLOCK])
    tmp23 = tl.where(xmask, tmp21, 0)
    tmp24 = tl.sum(tmp23, 1)[:, None]
    tmp26 = tmp25 * tmp1
    tmp27 = tl.broadcast_to(tmp26, [XBLOCK, RBLOCK])
    tmp29 = tl.where(xmask, tmp27, 0)
    tmp30 = tl.sum(tmp29, 1)[:, None]
    tl.store(out_ptr5 + (x0 + 80 * x1), tmp6, xmask)
    tl.store(out_ptr6 + (x0 + 80 * x1), tmp12, xmask)
    tl.store(out_ptr7 + (x0 + 80 * x1), tmp18, xmask)
    tl.store(out_ptr8 + (x0 + 80 * x1), tmp24, xmask)
    tl.store(out_ptr9 + (x0 + 80 * x1), tmp30, xmask)


@triton.jit
def triton_poi_fused_mul_4(in_ptr0, in_ptr1, out_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
    x0 = xindex % 16
    x1 = xindex // 16 % 320
    x2 = xindex // 5120
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + (x0 + 16 * (x1 // 64) + 80 * x2), None)
    tmp2 = tl.sigmoid(tmp1)
    tmp3 = tmp0 * tmp2
    tl.store(out_ptr0 + x3, tmp3, None)


@triton.jit
def triton_poi_fused_convolution_leaky_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)
    x3 = xindex
    x1 = xindex // 16 % 64
    tmp0 = tl.load(in_out_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr0 + x1, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = 0.0
    tmp4 = tmp2 > tmp3
    tmp5 = 0.1
    tmp6 = tmp2 * tmp5
    tmp7 = tl.where(tmp4, tmp2, tmp6)
    tl.store(in_out_ptr0 + x3, tmp7, None)


@triton.jit
def triton_poi_fused_avg_pool2d_max_pool2d_with_indices_6(in_ptr0, out_ptr0,
    out_ptr1, out_ptr2, xnumel, XBLOCK: tl.constexpr):
    xnumel = 1024
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x1 = xindex // 2 % 2
    x0 = xindex % 2
    x5 = xindex // 2
    x3 = xindex // 256
    x6 = xindex % 256
    x7 = xindex
    tmp0 = -1 + 2 * x1
    tmp1 = tl.full([1], 0, tl.int64)
    tmp2 = tmp0 >= tmp1
    tmp3 = tl.full([1], 4, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tmp2 & tmp4
    tmp6 = -1 + 2 * x0
    tmp7 = tmp6 >= tmp1
    tmp8 = tmp6 < tmp3
    tmp9 = tmp7 & tmp8
    tmp10 = tmp5 & tmp9
    tmp11 = tl.load(in_ptr0 + (-5 + 2 * x0 + 8 * x5), tmp10 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp12 = 2 * x0
    tmp13 = tmp12 >= tmp1
    tmp14 = tmp12 < tmp3
    tmp15 = tmp13 & tmp14
    tmp16 = tmp5 & tmp15
    tmp17 = tl.load(in_ptr0 + (-4 + 2 * x0 + 8 * x5), tmp16 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp18 = triton_helpers.maximum(tmp17, tmp11)
    tmp19 = 1 + 2 * x0
    tmp20 = tmp19 >= tmp1
    tmp21 = tmp19 < tmp3
    tmp22 = tmp20 & tmp21
    tmp23 = tmp5 & tmp22
    tmp24 = tl.load(in_ptr0 + (-3 + 2 * x0 + 8 * x5), tmp23 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp25 = triton_helpers.maximum(tmp24, tmp18)
    tmp26 = 2 * x1
    tmp27 = tmp26 >= tmp1
    tmp28 = tmp26 < tmp3
    tmp29 = tmp27 & tmp28
    tmp30 = tmp29 & tmp9
    tmp31 = tl.load(in_ptr0 + (-1 + 2 * x0 + 8 * x5), tmp30 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp32 = triton_helpers.maximum(tmp31, tmp25)
    tmp33 = tmp29 & tmp15
    tmp34 = tl.load(in_ptr0 + (2 * x0 + 8 * x5), tmp33 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp35 = triton_helpers.maximum(tmp34, tmp32)
    tmp36 = tmp29 & tmp22
    tmp37 = tl.load(in_ptr0 + (1 + 2 * x0 + 8 * x5), tmp36 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp38 = triton_helpers.maximum(tmp37, tmp35)
    tmp39 = 1 + 2 * x1
    tmp40 = tmp39 >= tmp1
    tmp41 = tmp39 < tmp3
    tmp42 = tmp40 & tmp41
    tmp43 = tmp42 & tmp9
    tmp44 = tl.load(in_ptr0 + (3 + 2 * x0 + 8 * x5), tmp43 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp45 = triton_helpers.maximum(tmp44, tmp38)
    tmp46 = tmp42 & tmp15
    tmp47 = tl.load(in_ptr0 + (4 + 2 * x0 + 8 * x5), tmp46 & xmask,
        eviction_policy='evict_last', other=float('-inf'))
    tmp48 = triton_helpers.maximum(tmp47, tmp45)
    tmp49 = tmp42 & tmp22
    tmp50 = tl.load(in_ptr0 + (5 + 2 * x0 + 8 * x5), tmp49 & xmask,
        eviction_policy='evict_last', 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)
    tmp77 = tl.load(in_ptr0 + (-5 + 2 * x0 + 8 * x5), tmp10 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp78 = tl.load(in_ptr0 + (-4 + 2 * x0 + 8 * x5), tmp16 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp79 = tmp78 + tmp77
    tmp80 = tl.load(in_ptr0 + (-3 + 2 * x0 + 8 * x5), tmp23 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp81 = tmp80 + tmp79
    tmp82 = tl.load(in_ptr0 + (-1 + 2 * x0 + 8 * x5), tmp30 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp83 = tmp82 + tmp81
    tmp84 = tl.load(in_ptr0 + (2 * x0 + 8 * x5), tmp33 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp85 = tmp84 + tmp83
    tmp86 = tl.load(in_ptr0 + (1 + 2 * x0 + 8 * x5), tmp36 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp87 = tmp86 + tmp85
    tmp88 = tl.load(in_ptr0 + (3 + 2 * x0 + 8 * x5), tmp43 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp89 = tmp88 + tmp87
    tmp90 = tl.load(in_ptr0 + (4 + 2 * x0 + 8 * x5), tmp46 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp91 = tmp90 + tmp89
    tmp92 = tl.load(in_ptr0 + (5 + 2 * x0 + 8 * x5), tmp49 & xmask,
        eviction_policy='evict_last', other=0.0)
    tmp93 = tmp92 + tmp91
    tmp94 = 1 + -2 * x0 + -2 * x1 + (5 * (5 <= 2 + 2 * x0) + (2 + 2 * x0) *
        (2 + 2 * x0 < 5)) * (5 * (5 <= 2 + 2 * x1) + (2 + 2 * x1) * (2 + 2 *
        x1 < 5)) + -2 * x0 * (5 * (5 <= 2 + 2 * x1) + (2 + 2 * x1) * (2 + 2 *
        x1 < 5)) + -2 * x1 * (5 * (5 <= 2 + 2 * x0) + (2 + 2 * x0) * (2 + 2 *
        x0 < 5)) + 4 * x0 * x1 + (5 * (5 <= 2 + 2 * x0) + (2 + 2 * x0) * (2 +
        2 * x0 < 5)) + (5 * (5 <= 2 + 2 * x1) + (2 + 2 * x1) * (2 + 2 * x1 < 5)
        )
    tmp95 = tmp93 / tmp94
    tl.store(out_ptr0 + (x6 + 512 * x3), tmp51, xmask)
    tl.store(out_ptr1 + x7, tmp76, xmask)
    tl.store(out_ptr2 + (x6 + 512 * x3), tmp95, xmask)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_7(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
    x3 = xindex
    x1 = xindex // 4 % 64
    tmp0 = tl.load(in_out_ptr0 + x3, xmask)
    tmp1 = tl.load(in_ptr0 + x1, xmask, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = 0.0
    tmp4 = tmp2 > tmp3
    tmp5 = 0.1
    tmp6 = tmp2 * tmp5
    tmp7 = tl.where(tmp4, tmp2, tmp6)
    tl.store(in_out_ptr0 + x3, tmp7, xmask)


@triton.jit
def triton_poi_fused_avg_pool2d_max_pool2d_with_indices_8(in_ptr0, out_ptr0,
    out_ptr1, out_ptr2, 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
    x1 = xindex // 64
    tmp0 = tl.full([1], -1, tl.int64)
    tmp1 = tl.full([1], 0, tl.int64)
    tmp2 = tmp0 >= tmp1
    tmp3 = tl.full([1], 2, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tmp2 & tmp4
    tmp6 = tmp5 & tmp5
    tmp7 = tl.load(in_ptr0 + (-3 + 4 * x2), tmp6 & xmask, eviction_policy=
        'evict_last', other=float('-inf'))
    tmp8 = tmp1 >= tmp1
    tmp9 = tmp1 < tmp3
    tmp10 = tmp8 & tmp9
    tmp11 = tmp5 & tmp10
    tmp12 = tl.load(in_ptr0 + (-2 + 4 * x2), tmp11 & xmask, eviction_policy
        ='evict_last', other=float('-inf'))
    tmp13 = triton_helpers.maximum(tmp12, tmp7)
    tmp14 = tl.full([1], 1, tl.int64)
    tmp15 = tmp14 >= tmp1
    tmp16 = tmp14 < tmp3
    tmp17 = tmp15 & tmp16
    tmp18 = tmp5 & tmp17
    tmp19 = tl.load(in_ptr0 + (-1 + 4 * x2), tmp18 & xmask, eviction_policy
        ='evict_last', other=float('-inf'))
    tmp20 = triton_helpers.maximum(tmp19, tmp13)
    tmp21 = tmp10 & tmp5
    tmp22 = tl.load(in_ptr0 + (-1 + 4 * x2), tmp21 & xmask, eviction_policy
        ='evict_last', other=float('-inf'))
    tmp23 = triton_helpers.maximum(tmp22, tmp20)
    tmp24 = tmp10 & tmp10
    tmp25 = tl.load(in_ptr0 + 4 * x2, tmp24 & xmask, eviction_policy=
        'evict_last', other=float('-inf'))
    tmp26 = triton_helpers.maximum(tmp25, tmp23)
    tmp27 = tmp10 & tmp17
    tmp28 = tl.load(in_ptr0 + (1 + 4 * x2), tmp27 & xmask, eviction_policy=
        'evict_last', other=float('-inf'))
    tmp29 = triton_helpers.maximum(tmp28, tmp26)
    tmp30 = tmp17 & tmp5
    tmp31 = tl.load(in_ptr0 + (1 + 4 * x2), tmp30 & xmask, eviction_policy=
        'evict_last', other=float('-inf'))
    tmp32 = triton_helpers.maximum(tmp31, tmp29)
    tmp33 = tmp17 & tmp10
    tmp34 = tl.load(in_ptr0 + (2 + 4 * x2), tmp33 & xmask, eviction_policy=
        'evict_last', other=float('-inf'))
    tmp35 = triton_helpers.maximum(tmp34, tmp32)
    tmp36 = tmp17 & tmp17
    tmp37 = tl.load(in_ptr0 + (3 + 4 * x2), tmp36 & xmask, eviction_policy=
        'evict_last', other=float('-inf'))
    tmp38 = triton_helpers.maximum(tmp37, tmp35)
    tmp39 = tmp12 > tmp7
    tmp40 = tl.full([1], 1, tl.int8)
    tmp41 = tl.full([1], 0, tl.int8)
    tmp42 = tl.where(tmp39, tmp40, tmp41)
    tmp43 = tmp19 > tmp13
    tmp44 = tl.full([1], 2, tl.int8)
    tmp45 = tl.where(tmp43, tmp44, tmp42)
    tmp46 = tmp22 > tmp20
    tmp47 = tl.full([1], 3, tl.int8)
    tmp48 = tl.where(tmp46, tmp47, tmp45)
    tmp49 = tmp25 > tmp23
    tmp50 = tl.full([1], 4, tl.int8)
    tmp51 = tl.where(tmp49, tmp50, tmp48)
    tmp52 = tmp28 > tmp26
    tmp53 = tl.full([1], 5, tl.int8)
    tmp54 = tl.where(tmp52, tmp53, tmp51)
    tmp55 = tmp31 > tmp29
    tmp56 = tl.full([1], 6, tl.int8)
    tmp57 = tl.where(tmp55, tmp56, tmp54)
    tmp58 = tmp34 > tmp32
    tmp59 = tl.full([1], 7, tl.int8)
    tmp60 = tl.where(tmp58, tmp59, tmp57)
    tmp61 = tmp37 > tmp35
    tmp62 = tl.full([1], 8, tl.int8)
    tmp63 = tl.where(tmp61, tmp62, tmp60)
    tmp64 = tl.load(in_ptr0 + (-3 + 4 * x2), tmp6 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp65 = tl.load(in_ptr0 + (-2 + 4 * x2), tmp11 & xmask, eviction_policy
        ='evict_last', other=0.0)
    tmp66 = tmp65 + tmp64
    tmp67 = tl.load(in_ptr0 + (-1 + 4 * x2), tmp18 & xmask, eviction_policy
        ='evict_last', other=0.0)
    tmp68 = tmp67 + tmp66
    tmp69 = tl.load(in_ptr0 + (-1 + 4 * x2), tmp21 & xmask, eviction_policy
        ='evict_last', other=0.0)
    tmp70 = tmp69 + tmp68
    tmp71 = tl.load(in_ptr0 + 4 * x2, tmp24 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp72 = tmp71 + tmp70
    tmp73 = tl.load(in_ptr0 + (1 + 4 * x2), tmp27 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp74 = tmp73 + tmp72
    tmp75 = tl.load(in_ptr0 + (1 + 4 * x2), tmp30 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp76 = tmp75 + tmp74
    tmp77 = tl.load(in_ptr0 + (2 + 4 * x2), tmp33 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp78 = tmp77 + tmp76
    tmp79 = tl.load(in_ptr0 + (3 + 4 * x2), tmp36 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp80 = tmp79 + tmp78
    tmp81 = tl.full([1], 9, tl.int32)
    tmp82 = tmp80 / tmp81
    tl.store(out_ptr0 + (x0 + 128 * x1), tmp38, xmask)
    tl.store(out_ptr1 + x2, tmp63, xmask)
    tl.store(out_ptr2 + (x0 + 128 * x1), tmp82, xmask)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_9(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 = 0.0
    tmp4 = tmp2 > tmp3
    tmp5 = 0.1
    tmp6 = tmp2 * tmp5
    tmp7 = tl.where(tmp4, tmp2, tmp6)
    tl.store(in_out_ptr0 + x2, tmp7, xmask)


@triton.jit
def triton_poi_fused__to_copy_10(out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 2
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex
    tmp0 = x0
    tmp1 = tmp0.to(tl.float32)
    tmp2 = 0.5
    tmp3 = tmp1 + tmp2
    tmp4 = tmp3 * tmp2
    tmp5 = tmp4 - tmp2
    tmp6 = 0.0
    tmp7 = triton_helpers.maximum(tmp5, tmp6)
    tmp8 = tmp7.to(tl.int32)
    tl.store(out_ptr0 + x0, tmp8, xmask)


@triton.jit
def triton_poi_fused_add_clamp_11(out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 2
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex
    tmp0 = x0
    tmp1 = tmp0.to(tl.float32)
    tmp2 = 0.5
    tmp3 = tmp1 + tmp2
    tmp4 = tmp3 * tmp2
    tmp5 = tmp4 - tmp2
    tmp6 = 0.0
    tmp7 = triton_helpers.maximum(tmp5, tmp6)
    tmp8 = tmp7.to(tl.int32)
    tmp9 = tl.full([1], 1, tl.int64)
    tmp10 = tmp8 + tmp9
    tmp11 = tl.full([1], 0, tl.int64)
    tmp12 = triton_helpers.minimum(tmp10, tmp11)
    tl.store(out_ptr0 + x0, tmp12, xmask)


@triton.jit
def triton_poi_fused__to_copy_add_arange_clamp_mul_sub_12(out_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 2
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex
    tmp0 = x0
    tmp1 = tmp0.to(tl.float32)
    tmp2 = 0.5
    tmp3 = tmp1 + tmp2
    tmp4 = tmp3 * tmp2
    tmp5 = tmp4 - tmp2
    tmp6 = 0.0
    tmp7 = triton_helpers.maximum(tmp5, tmp6)
    tmp8 = tmp7.to(tl.int32)
    tmp9 = tmp8.to(tl.float32)
    tmp10 = tmp7 - tmp9
    tmp11 = triton_helpers.maximum(tmp10, tmp6)
    tmp12 = 1.0
    tmp13 = triton_helpers.minimum(tmp11, tmp12)
    tl.store(out_ptr0 + x0, tmp13, xmask)


@triton.jit
def triton_poi_fused__unsafe_index_add_convolution_leaky_relu_leaky_relu_backward_mul_sub_13(
    in_out_ptr0, in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, in_ptr5,
    in_ptr6, in_ptr7, in_ptr8, in_ptr9, out_ptr0, xnumel, XBLOCK: tl.constexpr
    ):
    xnumel = 1024
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x1 = xindex // 2 % 2
    x0 = xindex % 2
    x5 = xindex // 4
    x2 = xindex // 4 % 64
    x6 = xindex
    tmp0 = tl.load(in_ptr0 + x1, xmask, eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr1 + x0, xmask, eviction_policy='evict_last')
    tmp9 = tl.load(in_ptr2 + x5, xmask, eviction_policy='evict_last')
    tmp10 = tl.load(in_ptr3 + x2, xmask, eviction_policy='evict_last')
    tmp17 = tl.load(in_ptr4 + x0, xmask, eviction_policy='evict_last')
    tmp22 = tl.load(in_ptr5 + x0, xmask, eviction_policy='evict_last')
    tmp25 = tl.load(in_ptr6 + x6, xmask)
    tmp26 = tl.load(in_ptr7 + x2, xmask, eviction_policy='evict_last')
    tmp31 = tl.load(in_ptr8 + x1, xmask, eviction_policy='evict_last')
    tmp36 = tl.load(in_ptr9 + x1, xmask, eviction_policy='evict_last')
    tmp1 = tl.full([XBLOCK], 1, tl.int32)
    tmp2 = tmp0 + tmp1
    tmp3 = tmp0 < 0
    tl.where(tmp3, tmp2, tmp0)
    tmp6 = tmp5 + tmp1
    tmp7 = tmp5 < 0
    tl.where(tmp7, tmp6, tmp5)
    tmp11 = tmp9 + tmp10
    tmp12 = 0.0
    tmp13 = tmp11 > tmp12
    tmp14 = 0.1
    tmp15 = tmp11 * tmp14
    tmp16 = tl.where(tmp13, tmp11, tmp15)
    tmp18 = tmp17 + tmp1
    tmp19 = tmp17 < 0
    tl.where(tmp19, tmp18, tmp17)
    tmp21 = tmp16 - tmp16
    tmp23 = tmp21 * tmp22
    tmp24 = tmp16 + tmp23
    tmp27 = tmp25 + tmp26
    tmp28 = tmp27 > tmp12
    tmp29 = tmp27 * tmp14
    tmp30 = tl.where(tmp28, tmp27, tmp29)
    tmp32 = tmp31 + tmp1
    tmp33 = tmp31 < 0
    tl.where(tmp33, tmp32, tmp31)
    tmp35 = tmp24 - tmp24
    tmp37 = tmp35 * tmp36
    tmp38 = tmp24 + tmp37
    tmp39 = tmp30 + tmp38
    tmp40 = tmp30 > tmp12
    tl.store(in_out_ptr0 + x6, tmp39, xmask)
    tl.store(out_ptr0 + x6, tmp40, xmask)


@triton.jit
def triton_poi_fused__to_copy_14(out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 4
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex
    tmp0 = x0
    tmp1 = tmp0.to(tl.float32)
    tmp2 = 0.5
    tmp3 = tmp1 + tmp2
    tmp4 = tmp3 * tmp2
    tmp5 = tmp4 - tmp2
    tmp6 = 0.0
    tmp7 = triton_helpers.maximum(tmp5, tmp6)
    tmp8 = tmp7.to(tl.int32)
    tl.store(out_ptr0 + x0, tmp8, xmask)


@triton.jit
def triton_poi_fused_add_clamp_15(out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 4
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex
    tmp0 = x0
    tmp1 = tmp0.to(tl.float32)
    tmp2 = 0.5
    tmp3 = tmp1 + tmp2
    tmp4 = tmp3 * tmp2
    tmp5 = tmp4 - tmp2
    tmp6 = 0.0
    tmp7 = triton_helpers.maximum(tmp5, tmp6)
    tmp8 = tmp7.to(tl.int32)
    tmp9 = tl.full([1], 1, tl.int64)
    tmp10 = tmp8 + tmp9
    tmp11 = triton_helpers.minimum(tmp10, tmp9)
    tl.store(out_ptr0 + x0, tmp11, xmask)


@triton.jit
def triton_poi_fused__to_copy_add_arange_clamp_mul_sub_16(out_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 4
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex
    tmp0 = x0
    tmp1 = tmp0.to(tl.float32)
    tmp2 = 0.5
    tmp3 = tmp1 + tmp2
    tmp4 = tmp3 * tmp2
    tmp5 = tmp4 - tmp2
    tmp6 = 0.0
    tmp7 = triton_helpers.maximum(tmp5, tmp6)
    tmp8 = tmp7.to(tl.int32)
    tmp9 = tmp8.to(tl.float32)
    tmp10 = tmp7 - tmp9
    tmp11 = triton_helpers.maximum(tmp10, tmp6)
    tmp12 = 1.0
    tmp13 = triton_helpers.minimum(tmp11, tmp12)
    tl.store(out_ptr0 + x0, tmp13, xmask)


@triton.jit
def triton_poi_fused__unsafe_index_add_convolution_leaky_relu_mul_sub_17(
    in_out_ptr0, in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, in_ptr5,
    in_ptr6, in_ptr7, xnumel, XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x1 = xindex // 4 % 4
    x0 = xindex % 4
    x6 = xindex // 16
    x2 = xindex // 16 % 64
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + x1, None, eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr1 + x0, None, eviction_policy='evict_last')
    tmp10 = tl.load(in_ptr3 + x2, None, eviction_policy='evict_last')
    tmp17 = tl.load(in_ptr4 + x0, None, eviction_policy='evict_last')
    tmp27 = tl.load(in_ptr5 + x0, None, eviction_policy='evict_last')
    tmp30 = tl.load(in_ptr6 + x1, None, eviction_policy='evict_last')
    tmp48 = tl.load(in_ptr7 + x1, None, eviction_policy='evict_last')
    tmp1 = tl.full([XBLOCK], 2, tl.int32)
    tmp2 = tmp0 + tmp1
    tmp3 = tmp0 < 0
    tmp4 = tl.where(tmp3, tmp2, tmp0)
    tmp6 = tmp5 + tmp1
    tmp7 = tmp5 < 0
    tmp8 = tl.where(tmp7, tmp6, tmp5)
    tmp9 = tl.load(in_ptr2 + (tmp8 + 2 * tmp4 + 4 * x6), None,
        eviction_policy='evict_last')
    tmp11 = tmp9 + tmp10
    tmp12 = 0.0
    tmp13 = tmp11 > tmp12
    tmp14 = 0.1
    tmp15 = tmp11 * tmp14
    tmp16 = tl.where(tmp13, tmp11, tmp15)
    tmp18 = tmp17 + tmp1
    tmp19 = tmp17 < 0
    tmp20 = tl.where(tmp19, tmp18, tmp17)
    tmp21 = tl.load(in_ptr2 + (tmp20 + 2 * tmp4 + 4 * x6), None,
        eviction_policy='evict_last')
    tmp22 = tmp21 + tmp10
    tmp23 = tmp22 > tmp12
    tmp24 = tmp22 * tmp14
    tmp25 = tl.where(tmp23, tmp22, tmp24)
    tmp26 = tmp25 - tmp16
    tmp28 = tmp26 * tmp27
    tmp29 = tmp16 + tmp28
    tmp31 = tmp30 + tmp1
    tmp32 = tmp30 < 0
    tmp33 = tl.where(tmp32, tmp31, tmp30)
    tmp34 = tl.load(in_ptr2 + (tmp8 + 2 * tmp33 + 4 * x6), None,
        eviction_policy='evict_last')
    tmp35 = tmp34 + tmp10
    tmp36 = tmp35 > tmp12
    tmp37 = tmp35 * tmp14
    tmp38 = tl.where(tmp36, tmp35, tmp37)
    tmp39 = tl.load(in_ptr2 + (tmp20 + 2 * tmp33 + 4 * x6), None,
        eviction_policy='evict_last')
    tmp40 = tmp39 + tmp10
    tmp41 = tmp40 > tmp12
    tmp42 = tmp40 * tmp14
    tmp43 = tl.where(tmp41, tmp40, tmp42)
    tmp44 = tmp43 - tmp38
    tmp45 = tmp44 * tmp27
    tmp46 = tmp38 + tmp45
    tmp47 = tmp46 - tmp29
    tmp49 = tmp47 * tmp48
    tmp50 = tmp29 + tmp49
    tl.store(in_out_ptr0 + x4, tmp50, None)


@triton.jit
def triton_poi_fused_add_convolution_leaky_relu_mul_sigmoid_18(in_out_ptr0,
    in_out_ptr1, in_ptr0, in_ptr1, in_ptr2, 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 // 16 % 64
    tmp0 = tl.load(in_out_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr0 + x1, None, eviction_policy='evict_last')
    tmp8 = tl.load(in_ptr1 + x3, None)
    tmp13 = tl.load(in_out_ptr1 + x3, None)
    tmp14 = tl.load(in_ptr2 + x1, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = 0.0
    tmp4 = tmp2 > tmp3
    tmp5 = 0.1
    tmp6 = tmp2 * tmp5
    tmp7 = tl.where(tmp4, tmp2, tmp6)
    tmp9 = tl.sigmoid(tmp8)
    tmp10 = tmp7 * tmp9
    tmp11 = 2.0
    tmp12 = tmp10 * tmp11
    tmp15 = tmp13 + tmp14
    tmp16 = tmp12 + tmp15
    tl.store(in_out_ptr0 + x3, tmp2, None)
    tl.store(in_out_ptr1 + x3, tmp16, None)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_leaky_relu_backward_19(in_ptr0,
    in_ptr1, out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 1024
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x3 = xindex
    x1 = xindex // 4 % 64
    tmp0 = tl.load(in_ptr0 + x3, xmask)
    tmp1 = tl.load(in_ptr1 + x1, xmask, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = 0.0
    tmp4 = tmp2 > tmp3
    tmp5 = 0.1
    tmp6 = tmp2 * tmp5
    tmp7 = tl.where(tmp4, tmp2, tmp6)
    tmp8 = tmp7 > tmp3
    tl.store(out_ptr0 + x3, tmp8, xmask)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_leaky_relu_backward_20(in_ptr0,
    in_ptr1, out_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_ptr0 + x2, xmask)
    tmp1 = tl.load(in_ptr1 + x0, xmask, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = 0.0
    tmp4 = tmp2 > tmp3
    tmp5 = 0.1
    tmp6 = tmp2 * tmp5
    tmp7 = tl.where(tmp4, tmp2, tmp6)
    tmp8 = tmp7 > tmp3
    tl.store(out_ptr0 + x2, tmp8, 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, primals_16, primals_17,
        primals_18, primals_19, primals_20, primals_21, primals_22,
        primals_23, primals_24, primals_25, primals_26, primals_27) = args
    args.clear()
    assert_size_stride(primals_1, (4, 5, 64, 4, 4), (5120, 1024, 16, 4, 1))
    assert_size_stride(primals_2, (64, 64, 3, 3), (576, 9, 3, 1))
    assert_size_stride(primals_3, (64,), (1,))
    assert_size_stride(primals_4, (64, 64, 3, 3), (576, 9, 3, 1))
    assert_size_stride(primals_5, (64,), (1,))
    assert_size_stride(primals_6, (64, 320, 1, 1), (320, 1, 1, 1))
    assert_size_stride(primals_7, (64,), (1,))
    assert_size_stride(primals_8, (64, 320, 1, 1), (320, 1, 1, 1))
    assert_size_stride(primals_9, (64,), (1,))
    assert_size_stride(primals_10, (64, 128, 1, 1), (128, 1, 1, 1))
    assert_size_stride(primals_11, (64,), (1,))
    assert_size_stride(primals_12, (64, 64, 1, 1), (64, 1, 1, 1))
    assert_size_stride(primals_13, (64,), (1,))
    assert_size_stride(primals_14, (64, 128, 3, 3), (1152, 9, 3, 1))
    assert_size_stride(primals_15, (64,), (1,))
    assert_size_stride(primals_16, (64, 64, 3, 3), (576, 9, 3, 1))
    assert_size_stride(primals_17, (64,), (1,))
    assert_size_stride(primals_18, (64, 64, 3, 3), (576, 9, 3, 1))
    assert_size_stride(primals_19, (64,), (1,))
    assert_size_stride(primals_20, (64, 64, 1, 1), (64, 1, 1, 1))
    assert_size_stride(primals_21, (64,), (1,))
    assert_size_stride(primals_22, (64, 64, 3, 3), (576, 9, 3, 1))
    assert_size_stride(primals_23, (64,), (1,))
    assert_size_stride(primals_24, (64, 64, 1, 1), (64, 1, 1, 1))
    assert_size_stride(primals_25, (64,), (1,))
    assert_size_stride(primals_26, (64, 64, 1, 1), (64, 1, 1, 1))
    assert_size_stride(primals_27, (64,), (1,))
    with torch.cuda._DeviceGuard(0):
        torch.cuda.set_device(0)
        buf0 = empty_strided_cuda((4, 64, 4, 4), (1024, 16, 4, 1), torch.
            float32)
        get_raw_stream(0)
        triton_poi_fused_clone_0[grid(4096)](primals_1, buf0, 4096, XBLOCK=
            128, num_warps=4, num_stages=1)
        buf1 = extern_kernels.convolution(buf0, primals_2, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf1, (4, 64, 4, 4), (1024, 16, 4, 1))
        buf2 = buf1
        del buf1
        triton_poi_fused_convolution_1[grid(4096)](buf2, primals_3, 4096,
            XBLOCK=256, num_warps=4, num_stages=1)
        del primals_3
        buf3 = extern_kernels.convolution(reinterpret_tensor(primals_1, (20,
            64, 4, 4), (1024, 16, 4, 1), 0), primals_4, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf3, (20, 64, 4, 4), (1024, 16, 4, 1))
        buf4 = buf3
        del buf3
        triton_poi_fused_convolution_2[grid(20480)](buf4, primals_5, 20480,
            XBLOCK=256, num_warps=4, num_stages=1)
        del primals_5
        buf15 = empty_strided_cuda((4, 5, 4, 4), (80, 16, 4, 1), torch.float32)
        buf10 = reinterpret_tensor(buf15, (4, 1, 4, 4), (80, 16, 4, 1), 0)
        buf11 = reinterpret_tensor(buf15, (4, 1, 4, 4), (80, 16, 4, 1), 16)
        buf12 = reinterpret_tensor(buf15, (4, 1, 4, 4), (80, 16, 4, 1), 32)
        buf13 = reinterpret_tensor(buf15, (4, 1, 4, 4), (80, 16, 4, 1), 48)
        buf14 = reinterpret_tensor(buf15, (4, 1, 4, 4), (80, 16, 4, 1), 64)
        triton_per_fused_cat_mul_sum_3[grid(64)](buf4, buf2, buf10, buf11,
            buf12, buf13, buf14, 64, 64, XBLOCK=32, num_warps=8, num_stages=1)
        buf16 = empty_strided_cuda((4, 320, 4, 4), (5120, 16, 4, 1), torch.
            float32)
        triton_poi_fused_mul_4[grid(20480)](primals_1, buf15, buf16, 20480,
            XBLOCK=256, num_warps=4, num_stages=1)
        buf17 = extern_kernels.convolution(buf16, primals_6, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf17, (4, 64, 4, 4), (1024, 16, 4, 1))
        buf19 = extern_kernels.convolution(buf16, primals_8, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf19, (4, 64, 4, 4), (1024, 16, 4, 1))
        buf20 = buf19
        del buf19
        triton_poi_fused_convolution_leaky_relu_5[grid(4096)](buf20,
            primals_9, 4096, XBLOCK=256, num_warps=4, num_stages=1)
        del primals_9
        buf24 = empty_strided_cuda((4, 128, 2, 2), (512, 4, 2, 1), torch.
            float32)
        buf21 = reinterpret_tensor(buf24, (4, 64, 2, 2), (512, 4, 2, 1), 0)
        buf22 = empty_strided_cuda((4, 64, 2, 2), (256, 4, 2, 1), torch.int8)
        buf23 = reinterpret_tensor(buf24, (4, 64, 2, 2), (512, 4, 2, 1), 256)
        triton_poi_fused_avg_pool2d_max_pool2d_with_indices_6[grid(1024)](buf20
            , buf21, buf22, buf23, 1024, XBLOCK=128, num_warps=4, num_stages=1)
        buf25 = extern_kernels.convolution(buf24, primals_10, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf25, (4, 64, 2, 2), (256, 4, 2, 1))
        buf26 = buf25
        del buf25
        triton_poi_fused_convolution_leaky_relu_7[grid(1024)](buf26,
            primals_11, 1024, XBLOCK=128, num_warps=4, num_stages=1)
        del primals_11
        buf27 = extern_kernels.convolution(buf26, primals_12, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf27, (4, 64, 2, 2), (256, 4, 2, 1))
        buf28 = buf27
        del buf27
        triton_poi_fused_convolution_leaky_relu_7[grid(1024)](buf28,
            primals_13, 1024, XBLOCK=128, num_warps=4, num_stages=1)
        del primals_13
        buf32 = empty_strided_cuda((4, 128, 1, 1), (128, 1, 1, 1), torch.
            float32)
        buf29 = reinterpret_tensor(buf32, (4, 64, 1, 1), (128, 1, 1, 1), 0)
        buf30 = empty_strided_cuda((4, 64, 1, 1), (64, 1, 1, 1), torch.int8)
        buf31 = reinterpret_tensor(buf32, (4, 64, 1, 1), (128, 1, 1, 1), 64)
        triton_poi_fused_avg_pool2d_max_pool2d_with_indices_8[grid(256)](buf28,
            buf29, buf30, buf31, 256, XBLOCK=128, num_warps=4, num_stages=1)
        buf33 = extern_kernels.convolution(buf32, primals_14, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf33, (4, 64, 1, 1), (64, 1, 1, 1))
        buf34 = buf33
        del buf33
        triton_poi_fused_convolution_leaky_relu_9[grid(256)](buf34,
            primals_15, 256, XBLOCK=256, num_warps=4, num_stages=1)
        del primals_15
        buf35 = extern_kernels.convolution(buf34, primals_16, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf35, (4, 64, 1, 1), (64, 1, 1, 1))
        buf36 = empty_strided_cuda((2, 1), (1, 1), torch.int64)
        triton_poi_fused__to_copy_10[grid(2)](buf36, 2, XBLOCK=2, num_warps
            =1, num_stages=1)
        buf37 = empty_strided_cuda((2, 1), (1, 1), torch.int64)
        triton_poi_fused_add_clamp_11[grid(2)](buf37, 2, XBLOCK=2,
            num_warps=1, num_stages=1)
        buf38 = empty_strided_cuda((2,), (1,), torch.int64)
        triton_poi_fused__to_copy_10[grid(2)](buf38, 2, XBLOCK=2, num_warps
            =1, num_stages=1)
        buf39 = empty_strided_cuda((2,), (1,), torch.int64)
        triton_poi_fused_add_clamp_11[grid(2)](buf39, 2, XBLOCK=2,
            num_warps=1, num_stages=1)
        buf40 = empty_strided_cuda((2,), (1,), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_12[grid(2)](buf40,
            2, XBLOCK=2, num_warps=1, num_stages=1)
        buf42 = empty_strided_cuda((2, 1), (1, 1), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_12[grid(2)](buf42,
            2, XBLOCK=2, num_warps=1, num_stages=1)
        buf43 = extern_kernels.convolution(buf26, primals_18, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf43, (4, 64, 2, 2), (256, 4, 2, 1))
        buf41 = empty_strided_cuda((4, 64, 2, 2), (256, 4, 2, 1), torch.float32
            )
        buf44 = buf41
        del buf41
        buf62 = empty_strided_cuda((4, 64, 2, 2), (256, 4, 2, 1), torch.bool)
        triton_poi_fused__unsafe_index_add_convolution_leaky_relu_leaky_relu_backward_mul_sub_13[
            grid(1024)](buf44, buf36, buf38, buf35, primals_17, buf39,
            buf40, buf43, primals_19, buf37, buf42, buf62, 1024, XBLOCK=256,
            num_warps=4, num_stages=1)
        del buf43
        del primals_19
        buf45 = extern_kernels.convolution(buf44, primals_20, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf45, (4, 64, 2, 2), (256, 4, 2, 1))
        buf46 = empty_strided_cuda((4, 1), (1, 1), torch.int64)
        triton_poi_fused__to_copy_14[grid(4)](buf46, 4, XBLOCK=4, num_warps
            =1, num_stages=1)
        buf47 = empty_strided_cuda((4, 1), (1, 1), torch.int64)
        triton_poi_fused_add_clamp_15[grid(4)](buf47, 4, XBLOCK=4,
            num_warps=1, num_stages=1)
        buf48 = empty_strided_cuda((4,), (1,), torch.int64)
        triton_poi_fused__to_copy_14[grid(4)](buf48, 4, XBLOCK=4, num_warps
            =1, num_stages=1)
        buf49 = empty_strided_cuda((4,), (1,), torch.int64)
        triton_poi_fused_add_clamp_15[grid(4)](buf49, 4, XBLOCK=4,
            num_warps=1, num_stages=1)
        buf50 = empty_strided_cuda((4,), (1,), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_16[grid(4)](buf50,
            4, XBLOCK=4, num_warps=1, num_stages=1)
        buf52 = empty_strided_cuda((4, 1), (1, 1), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_16[grid(4)](buf52,
            4, XBLOCK=4, num_warps=1, num_stages=1)
        buf53 = empty_strided_cuda((4, 64, 4, 4), (1024, 16, 4, 1), torch.
            float32)
        buf54 = buf53
        del buf53
        triton_poi_fused__unsafe_index_add_convolution_leaky_relu_mul_sub_17[
            grid(4096)](buf54, buf46, buf48, buf45, primals_21, buf49,
            buf50, buf47, buf52, 4096, XBLOCK=128, num_warps=4, num_stages=1)
        buf55 = extern_kernels.convolution(buf54, primals_22, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf55, (4, 64, 4, 4), (1024, 16, 4, 1))
        buf56 = buf55
        del buf55
        triton_poi_fused_convolution_1[grid(4096)](buf56, primals_23, 4096,
            XBLOCK=256, num_warps=4, num_stages=1)
        del primals_23
        buf57 = extern_kernels.convolution(buf56, primals_24, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf57, (4, 64, 4, 4), (1024, 16, 4, 1))
        buf58 = buf57
        del buf57
        triton_poi_fused_convolution_leaky_relu_5[grid(4096)](buf58,
            primals_25, 4096, XBLOCK=256, num_warps=4, num_stages=1)
        del primals_25
        buf59 = extern_kernels.convolution(buf58, primals_26, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf59, (4, 64, 4, 4), (1024, 16, 4, 1))
        buf18 = buf17
        del buf17
        buf60 = buf59
        del buf59
        triton_poi_fused_add_convolution_leaky_relu_mul_sigmoid_18[grid(4096)](
            buf18, buf60, primals_7, buf56, primals_27, 4096, XBLOCK=128,
            num_warps=4, num_stages=1)
        del primals_27
        del primals_7
        buf61 = empty_strided_cuda((4, 64, 2, 2), (256, 4, 2, 1), torch.bool)
        triton_poi_fused_convolution_leaky_relu_leaky_relu_backward_19[grid
            (1024)](buf45, primals_21, buf61, 1024, XBLOCK=256, num_warps=4,
            num_stages=1)
        del buf45
        del primals_21
        buf63 = empty_strided_cuda((4, 64, 1, 1), (64, 1, 1, 1), torch.bool)
        triton_poi_fused_convolution_leaky_relu_leaky_relu_backward_20[grid
            (256)](buf35, primals_17, buf63, 256, XBLOCK=128, num_warps=4,
            num_stages=1)
        del buf35
        del primals_17
    return (buf60, primals_1, primals_2, primals_4, primals_6, primals_8,
        primals_10, primals_12, primals_14, primals_16, primals_18,
        primals_20, primals_22, primals_24, primals_26, buf0, buf2,
        reinterpret_tensor(buf4, (4, 64, 4, 4), (5120, 16, 4, 1), 0),
        reinterpret_tensor(buf4, (4, 64, 4, 4), (5120, 16, 4, 1), 1024),
        reinterpret_tensor(buf4, (4, 64, 4, 4), (5120, 16, 4, 1), 2048),
        reinterpret_tensor(buf4, (4, 64, 4, 4), (5120, 16, 4, 1), 3072),
        reinterpret_tensor(buf4, (4, 64, 4, 4), (5120, 16, 4, 1), 4096),
        buf15, buf16, buf18, buf20, buf22, buf24, buf26, buf28, buf30,
        buf32, buf34, buf36, buf37, buf38, buf39, buf40, buf42, buf44,
        buf46, buf47, buf48, buf49, buf50, buf52, buf54, buf56, buf58,
        buf61, buf62, buf63)


class TSAFusionNew(nn.Module):
    """Temporal Spatial Attention (TSA) fusion module.

    Temporal: Calculate the correlation between center frame and
        neighboring frames;
    Spatial: It has 3 pyramid levels, the attention is similar to SFT.
        (SFT: Recovering realistic texture in image super-resolution by deep
            spatial feature transform.)

    Args:
        num_feat (int): Channel number of middle features. Default: 64.
        num_frame (int): Number of frames. Default: 5.
        center_frame_idx (int): The index of center frame. Default: 2.
    """

    def __init__(self, num_feat=64, num_frame=5, center_frame_idx=2):
        super(TSAFusionNew, self).__init__()
        self.center_frame_idx = center_frame_idx
        self.temporal_attn1 = nn.Conv2d(num_feat, num_feat, 3, 1, 1)
        self.temporal_attn2 = nn.Conv2d(num_feat, num_feat, 3, 1, 1)
        self.feat_fusion = nn.Conv2d(num_frame * num_feat, num_feat, 1, 1)
        self.max_pool = nn.MaxPool2d(3, stride=2, padding=1)
        self.avg_pool = nn.AvgPool2d(3, stride=2, padding=1)
        self.spatial_attn1 = nn.Conv2d(num_frame * num_feat, num_feat, 1)
        self.spatial_attn2 = nn.Conv2d(num_feat * 2, num_feat, 1)
        self.spatial_attn3 = nn.Conv2d(num_feat, num_feat, 3, 1, 1)
        self.spatial_attn4 = nn.Conv2d(num_feat, num_feat, 1)
        self.spatial_attn5 = nn.Conv2d(num_feat, num_feat, 3, 1, 1)
        self.spatial_attn_l1 = nn.Conv2d(num_feat, num_feat, 1)
        self.spatial_attn_l2 = nn.Conv2d(num_feat * 2, num_feat, 3, 1, 1)
        self.spatial_attn_l3 = nn.Conv2d(num_feat, num_feat, 3, 1, 1)
        self.spatial_attn_add1 = nn.Conv2d(num_feat, num_feat, 1)
        self.spatial_attn_add2 = nn.Conv2d(num_feat, num_feat, 1)
        self.lrelu = nn.LeakyReLU(negative_slope=0.1, inplace=True)
        self.upsample = nn.Upsample(scale_factor=2, mode='bilinear',
            align_corners=False)

    def forward(self, input_0):
        primals_2 = self.temporal_attn1.weight
        primals_3 = self.temporal_attn1.bias
        primals_4 = self.temporal_attn2.weight
        primals_5 = self.temporal_attn2.bias
        primals_6 = self.feat_fusion.weight
        primals_7 = self.feat_fusion.bias
        primals_8 = self.spatial_attn1.weight
        primals_9 = self.spatial_attn1.bias
        primals_10 = self.spatial_attn2.weight
        primals_11 = self.spatial_attn2.bias
        primals_16 = self.spatial_attn3.weight
        primals_13 = self.spatial_attn3.bias
        primals_12 = self.spatial_attn4.weight
        primals_15 = self.spatial_attn4.bias
        primals_18 = self.spatial_attn5.weight
        primals_17 = self.spatial_attn5.bias
        primals_20 = self.spatial_attn_l1.weight
        primals_19 = self.spatial_attn_l1.bias
        primals_14 = self.spatial_attn_l2.weight
        primals_21 = self.spatial_attn_l2.bias
        primals_22 = self.spatial_attn_l3.weight
        primals_23 = self.spatial_attn_l3.bias
        primals_24 = self.spatial_attn_add1.weight
        primals_25 = self.spatial_attn_add1.bias
        primals_26 = self.spatial_attn_add2.weight
        primals_27 = self.spatial_attn_add2.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, primals_16, primals_17, primals_18, primals_19,
            primals_20, primals_21, primals_22, primals_23, primals_24,
            primals_25, primals_26, primals_27])
        return output[0]


Measured latency_ms: 0.014764