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
import torch.nn.functional as F
from torch.functional import F
from torch.nn import functional as F
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cuda = torch._C._dynamo.guards._empty_strided_cuda
reinterpret_tensor = torch._C._dynamo.guards._reinterpret_tensor


@triton.jit
def triton_poi_fused_convolution_leaky_relu_0(in_ptr0, in_ptr1, 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)
    x3 = xindex
    x1 = xindex // 4096 % 32
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + 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(out_ptr0 + x3, tmp4, None)
    tl.store(out_ptr1 + x3, tmp7, None)


@triton.jit
def triton_poi_fused_avg_pool2d_1(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 % 32
    x1 = xindex // 32
    x2 = xindex
    tmp0 = tl.load(in_ptr0 + (2 * x0 + 128 * x1), None, eviction_policy=
        'evict_last')
    tmp1 = tl.load(in_ptr0 + (1 + 2 * x0 + 128 * x1), None, eviction_policy
        ='evict_last')
    tmp3 = tl.load(in_ptr0 + (64 + 2 * x0 + 128 * x1), None,
        eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr0 + (65 + 2 * x0 + 128 * x1), None,
        eviction_policy='evict_last')
    tmp2 = tmp1 + tmp0
    tmp4 = tmp3 + tmp2
    tmp6 = tmp5 + tmp4
    tmp7 = 0.25
    tmp8 = tmp6 * tmp7
    tl.store(out_ptr0 + x2, tmp8, None)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_2(in_ptr0, in_ptr1, 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)
    x3 = xindex
    x1 = xindex // 1024 % 64
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + 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(out_ptr0 + x3, tmp4, None)
    tl.store(out_ptr1 + x3, tmp7, None)


@triton.jit
def triton_poi_fused_avg_pool2d_3(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 % 16
    x1 = xindex // 16
    x2 = xindex
    tmp0 = tl.load(in_ptr0 + (2 * x0 + 64 * x1), None, eviction_policy=
        'evict_last')
    tmp1 = tl.load(in_ptr0 + (1 + 2 * x0 + 64 * x1), None, eviction_policy=
        'evict_last')
    tmp3 = tl.load(in_ptr0 + (32 + 2 * x0 + 64 * x1), None, eviction_policy
        ='evict_last')
    tmp5 = tl.load(in_ptr0 + (33 + 2 * x0 + 64 * x1), None, eviction_policy
        ='evict_last')
    tmp2 = tmp1 + tmp0
    tmp4 = tmp3 + tmp2
    tmp6 = tmp5 + tmp4
    tmp7 = 0.25
    tmp8 = tmp6 * tmp7
    tl.store(out_ptr0 + x2, tmp8, None)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_4(in_ptr0, in_ptr1, 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)
    x3 = xindex
    x1 = xindex // 256 % 128
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + 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(out_ptr0 + x3, tmp4, None)
    tl.store(out_ptr1 + x3, tmp7, None)


@triton.jit
def triton_poi_fused_avg_pool2d_5(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 % 8
    x1 = xindex // 8
    x2 = xindex
    tmp0 = tl.load(in_ptr0 + (2 * x0 + 32 * x1), None, eviction_policy=
        'evict_last')
    tmp1 = tl.load(in_ptr0 + (1 + 2 * x0 + 32 * x1), None, eviction_policy=
        'evict_last')
    tmp3 = tl.load(in_ptr0 + (16 + 2 * x0 + 32 * x1), None, eviction_policy
        ='evict_last')
    tmp5 = tl.load(in_ptr0 + (17 + 2 * x0 + 32 * x1), None, eviction_policy
        ='evict_last')
    tmp2 = tmp1 + tmp0
    tmp4 = tmp3 + tmp2
    tmp6 = tmp5 + tmp4
    tmp7 = 0.25
    tmp8 = tmp6 * tmp7
    tl.store(out_ptr0 + x2, tmp8, None)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_6(in_ptr0, in_ptr1, 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)
    x3 = xindex
    x1 = xindex // 64 % 256
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + 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(out_ptr0 + x3, tmp4, None)
    tl.store(out_ptr1 + x3, tmp7, None)


@triton.jit
def triton_poi_fused_avg_pool2d_7(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 % 4
    x1 = xindex // 4
    x2 = xindex
    tmp0 = tl.load(in_ptr0 + (2 * x0 + 16 * x1), None, eviction_policy=
        'evict_last')
    tmp1 = tl.load(in_ptr0 + (1 + 2 * x0 + 16 * x1), None, eviction_policy=
        'evict_last')
    tmp3 = tl.load(in_ptr0 + (8 + 2 * x0 + 16 * x1), None, eviction_policy=
        'evict_last')
    tmp5 = tl.load(in_ptr0 + (9 + 2 * x0 + 16 * x1), None, eviction_policy=
        'evict_last')
    tmp2 = tmp1 + tmp0
    tmp4 = tmp3 + tmp2
    tmp6 = tmp5 + tmp4
    tmp7 = 0.25
    tmp8 = tmp6 * tmp7
    tl.store(out_ptr0 + x2, tmp8, None)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_8(in_ptr0, in_ptr1, 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)
    x3 = xindex
    x1 = xindex // 16 % 512
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + 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(out_ptr0 + x3, tmp4, None)
    tl.store(out_ptr1 + x3, tmp7, None)


@triton.jit
def triton_poi_fused_avg_pool2d_9(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 % 2
    x1 = xindex // 2
    x2 = xindex
    tmp0 = tl.load(in_ptr0 + (2 * x0 + 8 * x1), None, eviction_policy=
        'evict_last')
    tmp1 = tl.load(in_ptr0 + (1 + 2 * x0 + 8 * x1), None, eviction_policy=
        'evict_last')
    tmp3 = tl.load(in_ptr0 + (4 + 2 * x0 + 8 * x1), None, eviction_policy=
        'evict_last')
    tmp5 = tl.load(in_ptr0 + (5 + 2 * x0 + 8 * x1), None, eviction_policy=
        'evict_last')
    tmp2 = tmp1 + tmp0
    tmp4 = tmp3 + tmp2
    tmp6 = tmp5 + tmp4
    tmp7 = 0.25
    tmp8 = tmp6 * tmp7
    tl.store(out_ptr0 + x2, tmp8, None)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_10(in_ptr0, in_ptr1, 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)
    x3 = xindex
    x1 = xindex // 4 % 512
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + 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(out_ptr0 + x3, tmp4, None)
    tl.store(out_ptr1 + x3, tmp7, None)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_11(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
    x1 = xindex // 4 % 512
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + x1, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = 0.0
    tmp4 = tmp2 > tmp3
    tl.store(out_ptr0 + x3, tmp4, None)


@triton.jit
def triton_poi_fused__to_copy_12(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_13(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_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)
    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_15(
    in_out_ptr1, in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, in_ptr5,
    in_ptr6, in_ptr7, in_ptr8, 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 % 512
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + x1, None, eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr1 + x0, None, eviction_policy='evict_last')
    tmp11 = tl.load(in_ptr4 + x2, None, eviction_policy='evict_last')
    tmp16 = tl.load(in_ptr5 + x1, None, eviction_policy='evict_last')
    tmp25 = tl.load(in_ptr6 + x0, None, eviction_policy='evict_last')
    tmp35 = tl.load(in_ptr7 + x0, None, eviction_policy='evict_last')
    tmp47 = tl.load(in_ptr8 + 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').to(tl.int1)
    tmp10 = tl.load(in_ptr3 + (tmp8 + 2 * tmp4 + 4 * x6), None,
        eviction_policy='evict_last')
    tmp12 = tmp10 + tmp11
    tmp13 = 0.1
    tmp14 = tmp12 * tmp13
    tmp15 = tl.where(tmp9, tmp12, tmp14)
    tmp17 = tmp16 + tmp1
    tmp18 = tmp16 < 0
    tmp19 = tl.where(tmp18, tmp17, tmp16)
    tmp20 = tl.load(in_ptr2 + (tmp8 + 2 * tmp19 + 4 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp21 = tl.load(in_ptr3 + (tmp8 + 2 * tmp19 + 4 * x6), None,
        eviction_policy='evict_last')
    tmp22 = tmp21 + tmp11
    tmp23 = tmp22 * tmp13
    tmp24 = tl.where(tmp20, tmp22, tmp23)
    tmp26 = tmp25 + tmp1
    tmp27 = tmp25 < 0
    tmp28 = tl.where(tmp27, tmp26, tmp25)
    tmp29 = tl.load(in_ptr2 + (tmp28 + 2 * tmp19 + 4 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp30 = tl.load(in_ptr3 + (tmp28 + 2 * tmp19 + 4 * x6), None,
        eviction_policy='evict_last')
    tmp31 = tmp30 + tmp11
    tmp32 = tmp31 * tmp13
    tmp33 = tl.where(tmp29, tmp31, tmp32)
    tmp34 = tmp33 - tmp24
    tmp36 = tmp34 * tmp35
    tmp37 = tmp24 + tmp36
    tmp38 = tl.load(in_ptr2 + (tmp28 + 2 * tmp4 + 4 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp39 = tl.load(in_ptr3 + (tmp28 + 2 * tmp4 + 4 * x6), None,
        eviction_policy='evict_last')
    tmp40 = tmp39 + tmp11
    tmp41 = tmp40 * tmp13
    tmp42 = tl.where(tmp38, tmp40, tmp41)
    tmp43 = tmp42 - tmp15
    tmp44 = tmp43 * tmp35
    tmp45 = tmp15 + tmp44
    tmp46 = tmp45 - tmp37
    tmp48 = tmp46 * tmp47
    tmp49 = tmp37 + tmp48
    tl.store(in_out_ptr1 + x4, tmp49, None)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_16(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
    x1 = xindex // 16 % 512
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + x1, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = 0.0
    tmp4 = tmp2 > tmp3
    tl.store(out_ptr0 + x3, tmp4, None)


@triton.jit
def triton_poi_fused_cat_17(in_ptr0, in_ptr1, in_ptr2, in_ptr3, out_ptr0,
    xnumel, XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x1 = xindex // 16 % 1024
    x0 = xindex % 16
    x2 = xindex // 16384
    x3 = xindex
    tmp0 = x1
    tl.full([1], 0, tl.int64)
    tmp3 = tl.full([1], 512, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tl.load(in_ptr0 + (x0 + 16 * x1 + 8192 * x2), tmp4, other=0.0).to(tl
        .int1)
    tmp6 = tl.load(in_ptr1 + (x0 + 16 * x1 + 8192 * x2), tmp4, other=0.0)
    tmp7 = tl.load(in_ptr2 + x1, tmp4, eviction_policy='evict_last', other=0.0)
    tmp8 = tmp6 + tmp7
    tmp9 = 0.1
    tmp10 = tmp8 * tmp9
    tmp11 = tl.where(tmp5, tmp8, tmp10)
    tmp12 = tl.full(tmp11.shape, 0.0, tmp11.dtype)
    tmp13 = tl.where(tmp4, tmp11, tmp12)
    tmp14 = tmp0 >= tmp3
    tl.full([1], 1024, tl.int64)
    tmp17 = tl.load(in_ptr3 + (x0 + 16 * (-512 + x1) + 8192 * x2), tmp14,
        other=0.0)
    tmp18 = tl.where(tmp4, tmp13, tmp17)
    tl.store(out_ptr0 + x3, tmp18, None)


@triton.jit
def triton_poi_fused__to_copy_18(out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 8
    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_19(out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 8
    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], 3, 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_20(out_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 8
    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_21(
    in_out_ptr1, in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, in_ptr5,
    in_ptr6, in_ptr7, in_ptr8, xnumel, XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x1 = xindex // 8 % 8
    x0 = xindex % 8
    x6 = xindex // 64
    x2 = xindex // 64 % 512
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + x1, None, eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr1 + x0, None, eviction_policy='evict_last')
    tmp11 = tl.load(in_ptr4 + x2, None, eviction_policy='evict_last')
    tmp16 = tl.load(in_ptr5 + x1, None, eviction_policy='evict_last')
    tmp25 = tl.load(in_ptr6 + x0, None, eviction_policy='evict_last')
    tmp35 = tl.load(in_ptr7 + x0, None, eviction_policy='evict_last')
    tmp47 = tl.load(in_ptr8 + x1, None, eviction_policy='evict_last')
    tmp1 = tl.full([XBLOCK], 4, 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 + 4 * tmp4 + 16 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp10 = tl.load(in_ptr3 + (tmp8 + 4 * tmp4 + 16 * x6), None,
        eviction_policy='evict_last')
    tmp12 = tmp10 + tmp11
    tmp13 = 0.1
    tmp14 = tmp12 * tmp13
    tmp15 = tl.where(tmp9, tmp12, tmp14)
    tmp17 = tmp16 + tmp1
    tmp18 = tmp16 < 0
    tmp19 = tl.where(tmp18, tmp17, tmp16)
    tmp20 = tl.load(in_ptr2 + (tmp8 + 4 * tmp19 + 16 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp21 = tl.load(in_ptr3 + (tmp8 + 4 * tmp19 + 16 * x6), None,
        eviction_policy='evict_last')
    tmp22 = tmp21 + tmp11
    tmp23 = tmp22 * tmp13
    tmp24 = tl.where(tmp20, tmp22, tmp23)
    tmp26 = tmp25 + tmp1
    tmp27 = tmp25 < 0
    tmp28 = tl.where(tmp27, tmp26, tmp25)
    tmp29 = tl.load(in_ptr2 + (tmp28 + 4 * tmp19 + 16 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp30 = tl.load(in_ptr3 + (tmp28 + 4 * tmp19 + 16 * x6), None,
        eviction_policy='evict_last')
    tmp31 = tmp30 + tmp11
    tmp32 = tmp31 * tmp13
    tmp33 = tl.where(tmp29, tmp31, tmp32)
    tmp34 = tmp33 - tmp24
    tmp36 = tmp34 * tmp35
    tmp37 = tmp24 + tmp36
    tmp38 = tl.load(in_ptr2 + (tmp28 + 4 * tmp4 + 16 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp39 = tl.load(in_ptr3 + (tmp28 + 4 * tmp4 + 16 * x6), None,
        eviction_policy='evict_last')
    tmp40 = tmp39 + tmp11
    tmp41 = tmp40 * tmp13
    tmp42 = tl.where(tmp38, tmp40, tmp41)
    tmp43 = tmp42 - tmp15
    tmp44 = tmp43 * tmp35
    tmp45 = tmp15 + tmp44
    tmp46 = tmp45 - tmp37
    tmp48 = tmp46 * tmp47
    tmp49 = tmp37 + tmp48
    tl.store(in_out_ptr1 + x4, tmp49, None)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_22(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
    x1 = xindex // 64 % 256
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + x1, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = 0.0
    tmp4 = tmp2 > tmp3
    tl.store(out_ptr0 + x3, tmp4, None)


@triton.jit
def triton_poi_fused_cat_23(in_ptr0, in_ptr1, in_ptr2, in_ptr3, out_ptr0,
    xnumel, XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x1 = xindex // 64 % 512
    x0 = xindex % 64
    x2 = xindex // 32768
    x3 = xindex
    tmp0 = x1
    tl.full([1], 0, tl.int64)
    tmp3 = tl.full([1], 256, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tl.load(in_ptr0 + (x0 + 64 * x1 + 16384 * x2), tmp4, other=0.0).to(
        tl.int1)
    tmp6 = tl.load(in_ptr1 + (x0 + 64 * x1 + 16384 * x2), tmp4, other=0.0)
    tmp7 = tl.load(in_ptr2 + x1, tmp4, eviction_policy='evict_last', other=0.0)
    tmp8 = tmp6 + tmp7
    tmp9 = 0.1
    tmp10 = tmp8 * tmp9
    tmp11 = tl.where(tmp5, tmp8, tmp10)
    tmp12 = tl.full(tmp11.shape, 0.0, tmp11.dtype)
    tmp13 = tl.where(tmp4, tmp11, tmp12)
    tmp14 = tmp0 >= tmp3
    tl.full([1], 512, tl.int64)
    tmp17 = tl.load(in_ptr3 + (x0 + 64 * (-256 + x1) + 16384 * x2), tmp14,
        other=0.0)
    tmp18 = tl.where(tmp4, tmp13, tmp17)
    tl.store(out_ptr0 + x3, tmp18, None)


@triton.jit
def triton_poi_fused__to_copy_24(out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 16
    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_25(out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 16
    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], 7, 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_26(out_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 16
    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_27(
    in_out_ptr1, in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, in_ptr5,
    in_ptr6, in_ptr7, in_ptr8, xnumel, XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x1 = xindex // 16 % 16
    x0 = xindex % 16
    x6 = xindex // 256
    x2 = xindex // 256 % 256
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + x1, None, eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr1 + x0, None, eviction_policy='evict_last')
    tmp11 = tl.load(in_ptr4 + x2, None, eviction_policy='evict_last')
    tmp16 = tl.load(in_ptr5 + x1, None, eviction_policy='evict_last')
    tmp25 = tl.load(in_ptr6 + x0, None, eviction_policy='evict_last')
    tmp35 = tl.load(in_ptr7 + x0, None, eviction_policy='evict_last')
    tmp47 = tl.load(in_ptr8 + x1, None, eviction_policy='evict_last')
    tmp1 = tl.full([XBLOCK], 8, 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 + 8 * tmp4 + 64 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp10 = tl.load(in_ptr3 + (tmp8 + 8 * tmp4 + 64 * x6), None,
        eviction_policy='evict_last')
    tmp12 = tmp10 + tmp11
    tmp13 = 0.1
    tmp14 = tmp12 * tmp13
    tmp15 = tl.where(tmp9, tmp12, tmp14)
    tmp17 = tmp16 + tmp1
    tmp18 = tmp16 < 0
    tmp19 = tl.where(tmp18, tmp17, tmp16)
    tmp20 = tl.load(in_ptr2 + (tmp8 + 8 * tmp19 + 64 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp21 = tl.load(in_ptr3 + (tmp8 + 8 * tmp19 + 64 * x6), None,
        eviction_policy='evict_last')
    tmp22 = tmp21 + tmp11
    tmp23 = tmp22 * tmp13
    tmp24 = tl.where(tmp20, tmp22, tmp23)
    tmp26 = tmp25 + tmp1
    tmp27 = tmp25 < 0
    tmp28 = tl.where(tmp27, tmp26, tmp25)
    tmp29 = tl.load(in_ptr2 + (tmp28 + 8 * tmp19 + 64 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp30 = tl.load(in_ptr3 + (tmp28 + 8 * tmp19 + 64 * x6), None,
        eviction_policy='evict_last')
    tmp31 = tmp30 + tmp11
    tmp32 = tmp31 * tmp13
    tmp33 = tl.where(tmp29, tmp31, tmp32)
    tmp34 = tmp33 - tmp24
    tmp36 = tmp34 * tmp35
    tmp37 = tmp24 + tmp36
    tmp38 = tl.load(in_ptr2 + (tmp28 + 8 * tmp4 + 64 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp39 = tl.load(in_ptr3 + (tmp28 + 8 * tmp4 + 64 * x6), None,
        eviction_policy='evict_last')
    tmp40 = tmp39 + tmp11
    tmp41 = tmp40 * tmp13
    tmp42 = tl.where(tmp38, tmp40, tmp41)
    tmp43 = tmp42 - tmp15
    tmp44 = tmp43 * tmp35
    tmp45 = tmp15 + tmp44
    tmp46 = tmp45 - tmp37
    tmp48 = tmp46 * tmp47
    tmp49 = tmp37 + tmp48
    tl.store(in_out_ptr1 + x4, tmp49, None)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_28(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
    x1 = xindex // 256 % 128
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + x1, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = 0.0
    tmp4 = tmp2 > tmp3
    tl.store(out_ptr0 + x3, tmp4, None)


@triton.jit
def triton_poi_fused_cat_29(in_ptr0, in_ptr1, in_ptr2, in_ptr3, out_ptr0,
    xnumel, XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x1 = xindex // 256 % 256
    x0 = xindex % 256
    x2 = xindex // 65536
    x3 = xindex
    tmp0 = x1
    tl.full([1], 0, tl.int64)
    tmp3 = tl.full([1], 128, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tl.load(in_ptr0 + (x0 + 256 * x1 + 32768 * x2), tmp4, other=0.0).to(
        tl.int1)
    tmp6 = tl.load(in_ptr1 + (x0 + 256 * x1 + 32768 * x2), tmp4, other=0.0)
    tmp7 = tl.load(in_ptr2 + x1, tmp4, eviction_policy='evict_last', other=0.0)
    tmp8 = tmp6 + tmp7
    tmp9 = 0.1
    tmp10 = tmp8 * tmp9
    tmp11 = tl.where(tmp5, tmp8, tmp10)
    tmp12 = tl.full(tmp11.shape, 0.0, tmp11.dtype)
    tmp13 = tl.where(tmp4, tmp11, tmp12)
    tmp14 = tmp0 >= tmp3
    tl.full([1], 256, tl.int64)
    tmp17 = tl.load(in_ptr3 + (x0 + 256 * (-128 + x1) + 32768 * x2), tmp14,
        other=0.0)
    tmp18 = tl.where(tmp4, tmp13, tmp17)
    tl.store(out_ptr0 + x3, tmp18, None)


@triton.jit
def triton_poi_fused__to_copy_30(out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 32
    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_31(out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 32
    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], 15, 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_32(out_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 32
    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_33(
    in_out_ptr1, in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, in_ptr5,
    in_ptr6, in_ptr7, in_ptr8, xnumel, XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x1 = xindex // 32 % 32
    x0 = xindex % 32
    x6 = xindex // 1024
    x2 = xindex // 1024 % 128
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + x1, None, eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr1 + x0, None, eviction_policy='evict_last')
    tmp11 = tl.load(in_ptr4 + x2, None, eviction_policy='evict_last')
    tmp16 = tl.load(in_ptr5 + x1, None, eviction_policy='evict_last')
    tmp25 = tl.load(in_ptr6 + x0, None, eviction_policy='evict_last')
    tmp35 = tl.load(in_ptr7 + x0, None, eviction_policy='evict_last')
    tmp47 = tl.load(in_ptr8 + x1, None, eviction_policy='evict_last')
    tmp1 = tl.full([XBLOCK], 16, 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 + 16 * tmp4 + 256 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp10 = tl.load(in_ptr3 + (tmp8 + 16 * tmp4 + 256 * x6), None,
        eviction_policy='evict_last')
    tmp12 = tmp10 + tmp11
    tmp13 = 0.1
    tmp14 = tmp12 * tmp13
    tmp15 = tl.where(tmp9, tmp12, tmp14)
    tmp17 = tmp16 + tmp1
    tmp18 = tmp16 < 0
    tmp19 = tl.where(tmp18, tmp17, tmp16)
    tmp20 = tl.load(in_ptr2 + (tmp8 + 16 * tmp19 + 256 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp21 = tl.load(in_ptr3 + (tmp8 + 16 * tmp19 + 256 * x6), None,
        eviction_policy='evict_last')
    tmp22 = tmp21 + tmp11
    tmp23 = tmp22 * tmp13
    tmp24 = tl.where(tmp20, tmp22, tmp23)
    tmp26 = tmp25 + tmp1
    tmp27 = tmp25 < 0
    tmp28 = tl.where(tmp27, tmp26, tmp25)
    tmp29 = tl.load(in_ptr2 + (tmp28 + 16 * tmp19 + 256 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp30 = tl.load(in_ptr3 + (tmp28 + 16 * tmp19 + 256 * x6), None,
        eviction_policy='evict_last')
    tmp31 = tmp30 + tmp11
    tmp32 = tmp31 * tmp13
    tmp33 = tl.where(tmp29, tmp31, tmp32)
    tmp34 = tmp33 - tmp24
    tmp36 = tmp34 * tmp35
    tmp37 = tmp24 + tmp36
    tmp38 = tl.load(in_ptr2 + (tmp28 + 16 * tmp4 + 256 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp39 = tl.load(in_ptr3 + (tmp28 + 16 * tmp4 + 256 * x6), None,
        eviction_policy='evict_last')
    tmp40 = tmp39 + tmp11
    tmp41 = tmp40 * tmp13
    tmp42 = tl.where(tmp38, tmp40, tmp41)
    tmp43 = tmp42 - tmp15
    tmp44 = tmp43 * tmp35
    tmp45 = tmp15 + tmp44
    tmp46 = tmp45 - tmp37
    tmp48 = tmp46 * tmp47
    tmp49 = tmp37 + tmp48
    tl.store(in_out_ptr1 + x4, tmp49, None)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_34(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
    x1 = xindex // 1024 % 64
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + x1, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = 0.0
    tmp4 = tmp2 > tmp3
    tl.store(out_ptr0 + x3, tmp4, None)


@triton.jit
def triton_poi_fused_cat_35(in_ptr0, in_ptr1, in_ptr2, in_ptr3, out_ptr0,
    xnumel, XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x1 = xindex // 1024 % 128
    x0 = xindex % 1024
    x2 = xindex // 131072
    x3 = xindex
    tmp0 = x1
    tl.full([1], 0, tl.int64)
    tmp3 = tl.full([1], 64, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tl.load(in_ptr0 + (x0 + 1024 * x1 + 65536 * x2), tmp4, other=0.0
        ).to(tl.int1)
    tmp6 = tl.load(in_ptr1 + (x0 + 1024 * x1 + 65536 * x2), tmp4, other=0.0)
    tmp7 = tl.load(in_ptr2 + x1, tmp4, eviction_policy='evict_last', other=0.0)
    tmp8 = tmp6 + tmp7
    tmp9 = 0.1
    tmp10 = tmp8 * tmp9
    tmp11 = tl.where(tmp5, tmp8, tmp10)
    tmp12 = tl.full(tmp11.shape, 0.0, tmp11.dtype)
    tmp13 = tl.where(tmp4, tmp11, tmp12)
    tmp14 = tmp0 >= tmp3
    tl.full([1], 128, tl.int64)
    tmp17 = tl.load(in_ptr3 + (x0 + 1024 * (-64 + x1) + 65536 * x2), tmp14,
        other=0.0)
    tmp18 = tl.where(tmp4, tmp13, tmp17)
    tl.store(out_ptr0 + x3, tmp18, None)


@triton.jit
def triton_poi_fused__to_copy_36(out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 64
    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_37(out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 64
    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], 31, 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_38(out_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 64
    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_39(
    in_out_ptr1, in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, in_ptr5,
    in_ptr6, in_ptr7, in_ptr8, xnumel, XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x1 = xindex // 64 % 64
    x0 = xindex % 64
    x6 = xindex // 4096
    x2 = xindex // 4096 % 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')
    tmp11 = tl.load(in_ptr4 + x2, None, eviction_policy='evict_last')
    tmp16 = tl.load(in_ptr5 + x1, None, eviction_policy='evict_last')
    tmp25 = tl.load(in_ptr6 + x0, None, eviction_policy='evict_last')
    tmp35 = tl.load(in_ptr7 + x0, None, eviction_policy='evict_last')
    tmp47 = tl.load(in_ptr8 + x1, None, eviction_policy='evict_last')
    tmp1 = tl.full([XBLOCK], 32, 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 + 32 * tmp4 + 1024 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp10 = tl.load(in_ptr3 + (tmp8 + 32 * tmp4 + 1024 * x6), None,
        eviction_policy='evict_last')
    tmp12 = tmp10 + tmp11
    tmp13 = 0.1
    tmp14 = tmp12 * tmp13
    tmp15 = tl.where(tmp9, tmp12, tmp14)
    tmp17 = tmp16 + tmp1
    tmp18 = tmp16 < 0
    tmp19 = tl.where(tmp18, tmp17, tmp16)
    tmp20 = tl.load(in_ptr2 + (tmp8 + 32 * tmp19 + 1024 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp21 = tl.load(in_ptr3 + (tmp8 + 32 * tmp19 + 1024 * x6), None,
        eviction_policy='evict_last')
    tmp22 = tmp21 + tmp11
    tmp23 = tmp22 * tmp13
    tmp24 = tl.where(tmp20, tmp22, tmp23)
    tmp26 = tmp25 + tmp1
    tmp27 = tmp25 < 0
    tmp28 = tl.where(tmp27, tmp26, tmp25)
    tmp29 = tl.load(in_ptr2 + (tmp28 + 32 * tmp19 + 1024 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp30 = tl.load(in_ptr3 + (tmp28 + 32 * tmp19 + 1024 * x6), None,
        eviction_policy='evict_last')
    tmp31 = tmp30 + tmp11
    tmp32 = tmp31 * tmp13
    tmp33 = tl.where(tmp29, tmp31, tmp32)
    tmp34 = tmp33 - tmp24
    tmp36 = tmp34 * tmp35
    tmp37 = tmp24 + tmp36
    tmp38 = tl.load(in_ptr2 + (tmp28 + 32 * tmp4 + 1024 * x6), None,
        eviction_policy='evict_last').to(tl.int1)
    tmp39 = tl.load(in_ptr3 + (tmp28 + 32 * tmp4 + 1024 * x6), None,
        eviction_policy='evict_last')
    tmp40 = tmp39 + tmp11
    tmp41 = tmp40 * tmp13
    tmp42 = tl.where(tmp38, tmp40, tmp41)
    tmp43 = tmp42 - tmp15
    tmp44 = tmp43 * tmp35
    tmp45 = tmp15 + tmp44
    tmp46 = tmp45 - tmp37
    tmp48 = tmp46 * tmp47
    tmp49 = tmp37 + tmp48
    tl.store(in_out_ptr1 + x4, tmp49, None)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_40(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
    x1 = xindex // 4096 % 32
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + x1, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = 0.0
    tmp4 = tmp2 > tmp3
    tl.store(out_ptr0 + x3, tmp4, None)


@triton.jit
def triton_poi_fused_cat_41(in_ptr0, in_ptr1, in_ptr2, in_ptr3, out_ptr0,
    xnumel, XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x1 = xindex // 4096 % 64
    x0 = xindex % 4096
    x2 = xindex // 262144
    x3 = xindex
    tmp0 = x1
    tl.full([1], 0, tl.int64)
    tmp3 = tl.full([1], 32, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = tl.load(in_ptr0 + (x0 + 4096 * x1 + 131072 * x2), tmp4, other=0.0
        ).to(tl.int1)
    tmp6 = tl.load(in_ptr1 + (x0 + 4096 * x1 + 131072 * x2), tmp4, other=0.0)
    tmp7 = tl.load(in_ptr2 + x1, tmp4, eviction_policy='evict_last', other=0.0)
    tmp8 = tmp6 + tmp7
    tmp9 = 0.1
    tmp10 = tmp8 * tmp9
    tmp11 = tl.where(tmp5, tmp8, tmp10)
    tmp12 = tl.full(tmp11.shape, 0.0, tmp11.dtype)
    tmp13 = tl.where(tmp4, tmp11, tmp12)
    tmp14 = tmp0 >= tmp3
    tl.full([1], 64, tl.int64)
    tmp17 = tl.load(in_ptr3 + (x0 + 4096 * (-32 + x1) + 131072 * x2), tmp14,
        other=0.0)
    tmp18 = tl.where(tmp4, tmp13, tmp17)
    tl.store(out_ptr0 + x3, tmp18, None)


@triton.jit
def triton_poi_fused_convolution_leaky_relu_42(in_ptr0, in_ptr1, 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)
    x3 = xindex
    x1 = xindex // 4096 % 4
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + 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(out_ptr0 + x3, tmp4, None)
    tl.store(out_ptr1 + x3, tmp7, None)


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,
        primals_28, primals_29, primals_30, primals_31, primals_32,
        primals_33, primals_34, primals_35, primals_36, primals_37,
        primals_38, primals_39, primals_40, primals_41, primals_42,
        primals_43, primals_44, primals_45, primals_46, primals_47) = args
    args.clear()
    assert_size_stride(primals_1, (32, 4, 7, 7), (196, 49, 7, 1))
    assert_size_stride(primals_2, (32,), (1,))
    assert_size_stride(primals_3, (4, 4, 64, 64), (16384, 4096, 64, 1))
    assert_size_stride(primals_4, (32, 32, 7, 7), (1568, 49, 7, 1))
    assert_size_stride(primals_5, (32,), (1,))
    assert_size_stride(primals_6, (64, 32, 5, 5), (800, 25, 5, 1))
    assert_size_stride(primals_7, (64,), (1,))
    assert_size_stride(primals_8, (64, 64, 5, 5), (1600, 25, 5, 1))
    assert_size_stride(primals_9, (64,), (1,))
    assert_size_stride(primals_10, (128, 64, 3, 3), (576, 9, 3, 1))
    assert_size_stride(primals_11, (128,), (1,))
    assert_size_stride(primals_12, (128, 128, 3, 3), (1152, 9, 3, 1))
    assert_size_stride(primals_13, (128,), (1,))
    assert_size_stride(primals_14, (256, 128, 3, 3), (1152, 9, 3, 1))
    assert_size_stride(primals_15, (256,), (1,))
    assert_size_stride(primals_16, (256, 256, 3, 3), (2304, 9, 3, 1))
    assert_size_stride(primals_17, (256,), (1,))
    assert_size_stride(primals_18, (512, 256, 3, 3), (2304, 9, 3, 1))
    assert_size_stride(primals_19, (512,), (1,))
    assert_size_stride(primals_20, (512, 512, 3, 3), (4608, 9, 3, 1))
    assert_size_stride(primals_21, (512,), (1,))
    assert_size_stride(primals_22, (512, 512, 3, 3), (4608, 9, 3, 1))
    assert_size_stride(primals_23, (512,), (1,))
    assert_size_stride(primals_24, (512, 512, 3, 3), (4608, 9, 3, 1))
    assert_size_stride(primals_25, (512,), (1,))
    assert_size_stride(primals_26, (512, 512, 3, 3), (4608, 9, 3, 1))
    assert_size_stride(primals_27, (512,), (1,))
    assert_size_stride(primals_28, (512, 1024, 3, 3), (9216, 9, 3, 1))
    assert_size_stride(primals_29, (512,), (1,))
    assert_size_stride(primals_30, (256, 512, 3, 3), (4608, 9, 3, 1))
    assert_size_stride(primals_31, (256,), (1,))
    assert_size_stride(primals_32, (256, 512, 3, 3), (4608, 9, 3, 1))
    assert_size_stride(primals_33, (256,), (1,))
    assert_size_stride(primals_34, (128, 256, 3, 3), (2304, 9, 3, 1))
    assert_size_stride(primals_35, (128,), (1,))
    assert_size_stride(primals_36, (128, 256, 3, 3), (2304, 9, 3, 1))
    assert_size_stride(primals_37, (128,), (1,))
    assert_size_stride(primals_38, (64, 128, 3, 3), (1152, 9, 3, 1))
    assert_size_stride(primals_39, (64,), (1,))
    assert_size_stride(primals_40, (64, 128, 3, 3), (1152, 9, 3, 1))
    assert_size_stride(primals_41, (64,), (1,))
    assert_size_stride(primals_42, (32, 64, 3, 3), (576, 9, 3, 1))
    assert_size_stride(primals_43, (32,), (1,))
    assert_size_stride(primals_44, (32, 64, 3, 3), (576, 9, 3, 1))
    assert_size_stride(primals_45, (32,), (1,))
    assert_size_stride(primals_46, (4, 32, 3, 3), (288, 9, 3, 1))
    assert_size_stride(primals_47, (4,), (1,))
    with torch.cuda._DeviceGuard(0):
        torch.cuda.set_device(0)
        buf0 = extern_kernels.convolution(primals_3, primals_1, stride=(1, 
            1), padding=(3, 3), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf0, (4, 32, 64, 64), (131072, 4096, 64, 1))
        buf1 = empty_strided_cuda((4, 32, 64, 64), (131072, 4096, 64, 1),
            torch.bool)
        buf2 = empty_strided_cuda((4, 32, 64, 64), (131072, 4096, 64, 1),
            torch.float32)
        get_raw_stream(0)
        triton_poi_fused_convolution_leaky_relu_0[grid(524288)](buf0,
            primals_2, buf1, buf2, 524288, XBLOCK=1024, num_warps=4,
            num_stages=1)
        del primals_2
        buf3 = extern_kernels.convolution(buf2, primals_4, stride=(1, 1),
            padding=(3, 3), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf3, (4, 32, 64, 64), (131072, 4096, 64, 1))
        buf4 = empty_strided_cuda((4, 32, 64, 64), (131072, 4096, 64, 1),
            torch.bool)
        buf5 = buf0
        del buf0
        triton_poi_fused_convolution_leaky_relu_0[grid(524288)](buf3,
            primals_5, buf4, buf5, 524288, XBLOCK=1024, num_warps=4,
            num_stages=1)
        del primals_5
        buf6 = empty_strided_cuda((4, 32, 32, 32), (32768, 1024, 32, 1),
            torch.float32)
        triton_poi_fused_avg_pool2d_1[grid(131072)](buf5, buf6, 131072,
            XBLOCK=512, num_warps=8, num_stages=1)
        buf7 = extern_kernels.convolution(buf6, primals_6, 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, 32, 32), (65536, 1024, 32, 1))
        buf8 = empty_strided_cuda((4, 64, 32, 32), (65536, 1024, 32, 1),
            torch.bool)
        buf9 = empty_strided_cuda((4, 64, 32, 32), (65536, 1024, 32, 1),
            torch.float32)
        triton_poi_fused_convolution_leaky_relu_2[grid(262144)](buf7,
            primals_7, buf8, buf9, 262144, XBLOCK=512, num_warps=8,
            num_stages=1)
        del primals_7
        buf10 = extern_kernels.convolution(buf9, primals_8, stride=(1, 1),
            padding=(2, 2), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf10, (4, 64, 32, 32), (65536, 1024, 32, 1))
        buf11 = empty_strided_cuda((4, 64, 32, 32), (65536, 1024, 32, 1),
            torch.bool)
        buf12 = buf7
        del buf7
        triton_poi_fused_convolution_leaky_relu_2[grid(262144)](buf10,
            primals_9, buf11, buf12, 262144, XBLOCK=512, num_warps=8,
            num_stages=1)
        del primals_9
        buf13 = empty_strided_cuda((4, 64, 16, 16), (16384, 256, 16, 1),
            torch.float32)
        triton_poi_fused_avg_pool2d_3[grid(65536)](buf12, buf13, 65536,
            XBLOCK=256, num_warps=4, num_stages=1)
        buf14 = extern_kernels.convolution(buf13, primals_10, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf14, (4, 128, 16, 16), (32768, 256, 16, 1))
        buf15 = empty_strided_cuda((4, 128, 16, 16), (32768, 256, 16, 1),
            torch.bool)
        buf16 = empty_strided_cuda((4, 128, 16, 16), (32768, 256, 16, 1),
            torch.float32)
        triton_poi_fused_convolution_leaky_relu_4[grid(131072)](buf14,
            primals_11, buf15, buf16, 131072, XBLOCK=512, num_warps=8,
            num_stages=1)
        del primals_11
        buf17 = extern_kernels.convolution(buf16, primals_12, 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, 16, 16), (32768, 256, 16, 1))
        buf18 = empty_strided_cuda((4, 128, 16, 16), (32768, 256, 16, 1),
            torch.bool)
        buf19 = buf14
        del buf14
        triton_poi_fused_convolution_leaky_relu_4[grid(131072)](buf17,
            primals_13, buf18, buf19, 131072, XBLOCK=512, num_warps=8,
            num_stages=1)
        del primals_13
        buf20 = empty_strided_cuda((4, 128, 8, 8), (8192, 64, 8, 1), torch.
            float32)
        triton_poi_fused_avg_pool2d_5[grid(32768)](buf19, buf20, 32768,
            XBLOCK=128, num_warps=4, num_stages=1)
        buf21 = extern_kernels.convolution(buf20, primals_14, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf21, (4, 256, 8, 8), (16384, 64, 8, 1))
        buf22 = empty_strided_cuda((4, 256, 8, 8), (16384, 64, 8, 1), torch
            .bool)
        buf23 = empty_strided_cuda((4, 256, 8, 8), (16384, 64, 8, 1), torch
            .float32)
        triton_poi_fused_convolution_leaky_relu_6[grid(65536)](buf21,
            primals_15, buf22, buf23, 65536, XBLOCK=256, num_warps=4,
            num_stages=1)
        del primals_15
        buf24 = extern_kernels.convolution(buf23, primals_16, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf24, (4, 256, 8, 8), (16384, 64, 8, 1))
        buf25 = empty_strided_cuda((4, 256, 8, 8), (16384, 64, 8, 1), torch
            .bool)
        buf26 = buf21
        del buf21
        triton_poi_fused_convolution_leaky_relu_6[grid(65536)](buf24,
            primals_17, buf25, buf26, 65536, XBLOCK=256, num_warps=4,
            num_stages=1)
        del primals_17
        buf27 = empty_strided_cuda((4, 256, 4, 4), (4096, 16, 4, 1), torch.
            float32)
        triton_poi_fused_avg_pool2d_7[grid(16384)](buf26, buf27, 16384,
            XBLOCK=128, num_warps=4, num_stages=1)
        buf28 = extern_kernels.convolution(buf27, primals_18, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf28, (4, 512, 4, 4), (8192, 16, 4, 1))
        buf29 = empty_strided_cuda((4, 512, 4, 4), (8192, 16, 4, 1), torch.bool
            )
        buf30 = empty_strided_cuda((4, 512, 4, 4), (8192, 16, 4, 1), torch.
            float32)
        triton_poi_fused_convolution_leaky_relu_8[grid(32768)](buf28,
            primals_19, buf29, buf30, 32768, XBLOCK=128, num_warps=4,
            num_stages=1)
        del primals_19
        buf31 = extern_kernels.convolution(buf30, primals_20, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf31, (4, 512, 4, 4), (8192, 16, 4, 1))
        buf32 = empty_strided_cuda((4, 512, 4, 4), (8192, 16, 4, 1), torch.bool
            )
        buf33 = buf28
        del buf28
        triton_poi_fused_convolution_leaky_relu_8[grid(32768)](buf31,
            primals_21, buf32, buf33, 32768, XBLOCK=128, num_warps=4,
            num_stages=1)
        del primals_21
        buf34 = empty_strided_cuda((4, 512, 2, 2), (2048, 4, 2, 1), torch.
            float32)
        triton_poi_fused_avg_pool2d_9[grid(8192)](buf33, buf34, 8192,
            XBLOCK=128, num_warps=4, num_stages=1)
        buf35 = extern_kernels.convolution(buf34, primals_22, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf35, (4, 512, 2, 2), (2048, 4, 2, 1))
        buf36 = empty_strided_cuda((4, 512, 2, 2), (2048, 4, 2, 1), torch.bool)
        buf37 = empty_strided_cuda((4, 512, 2, 2), (2048, 4, 2, 1), torch.
            float32)
        triton_poi_fused_convolution_leaky_relu_10[grid(8192)](buf35,
            primals_23, buf36, buf37, 8192, XBLOCK=256, num_warps=4,
            num_stages=1)
        del buf35
        del primals_23
        buf38 = extern_kernels.convolution(buf37, primals_24, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf38, (4, 512, 2, 2), (2048, 4, 2, 1))
        buf39 = empty_strided_cuda((4, 512, 2, 2), (2048, 4, 2, 1), torch.bool)
        triton_poi_fused_convolution_leaky_relu_11[grid(8192)](buf38,
            primals_25, buf39, 8192, XBLOCK=128, num_warps=4, num_stages=1)
        buf40 = empty_strided_cuda((4, 1), (1, 1), torch.int64)
        triton_poi_fused__to_copy_12[grid(4)](buf40, 4, XBLOCK=4, num_warps
            =1, num_stages=1)
        buf41 = empty_strided_cuda((4, 1), (1, 1), torch.int64)
        triton_poi_fused_add_clamp_13[grid(4)](buf41, 4, XBLOCK=4,
            num_warps=1, num_stages=1)
        buf42 = empty_strided_cuda((4,), (1,), torch.int64)
        triton_poi_fused__to_copy_12[grid(4)](buf42, 4, XBLOCK=4, num_warps
            =1, num_stages=1)
        buf43 = empty_strided_cuda((4,), (1,), torch.int64)
        triton_poi_fused_add_clamp_13[grid(4)](buf43, 4, XBLOCK=4,
            num_warps=1, num_stages=1)
        buf46 = empty_strided_cuda((4,), (1,), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_14[grid(4)](buf46,
            4, XBLOCK=4, num_warps=1, num_stages=1)
        buf48 = empty_strided_cuda((4, 1), (1, 1), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_14[grid(4)](buf48,
            4, XBLOCK=4, num_warps=1, num_stages=1)
        buf45 = buf31
        del buf31
        buf49 = buf45
        del buf45
        buf50 = buf49
        del buf49
        triton_poi_fused__unsafe_index_add_convolution_leaky_relu_mul_sub_15[
            grid(32768)](buf50, buf41, buf42, buf39, buf38, primals_25,
            buf40, buf43, buf46, buf48, 32768, XBLOCK=128, num_warps=4,
            num_stages=1)
        del buf38
        del primals_25
        buf51 = extern_kernels.convolution(buf50, primals_26, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf51, (4, 512, 4, 4), (8192, 16, 4, 1))
        buf52 = empty_strided_cuda((4, 512, 4, 4), (8192, 16, 4, 1), torch.bool
            )
        triton_poi_fused_convolution_leaky_relu_16[grid(32768)](buf51,
            primals_27, buf52, 32768, XBLOCK=128, num_warps=4, num_stages=1)
        buf53 = reinterpret_tensor(buf24, (4, 1024, 4, 4), (16384, 16, 4, 1), 0
            )
        del buf24
        triton_poi_fused_cat_17[grid(65536)](buf52, buf51, primals_27,
            buf33, buf53, 65536, XBLOCK=256, num_warps=4, num_stages=1)
        del buf51
        del primals_27
        buf54 = extern_kernels.convolution(buf53, primals_28, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf54, (4, 512, 4, 4), (8192, 16, 4, 1))
        buf55 = empty_strided_cuda((4, 512, 4, 4), (8192, 16, 4, 1), torch.bool
            )
        triton_poi_fused_convolution_leaky_relu_16[grid(32768)](buf54,
            primals_29, buf55, 32768, XBLOCK=128, num_warps=4, num_stages=1)
        buf56 = empty_strided_cuda((8, 1), (1, 1), torch.int64)
        triton_poi_fused__to_copy_18[grid(8)](buf56, 8, XBLOCK=8, num_warps
            =1, num_stages=1)
        buf57 = empty_strided_cuda((8, 1), (1, 1), torch.int64)
        triton_poi_fused_add_clamp_19[grid(8)](buf57, 8, XBLOCK=8,
            num_warps=1, num_stages=1)
        buf58 = empty_strided_cuda((8,), (1,), torch.int64)
        triton_poi_fused__to_copy_18[grid(8)](buf58, 8, XBLOCK=8, num_warps
            =1, num_stages=1)
        buf59 = empty_strided_cuda((8,), (1,), torch.int64)
        triton_poi_fused_add_clamp_19[grid(8)](buf59, 8, XBLOCK=8,
            num_warps=1, num_stages=1)
        buf62 = empty_strided_cuda((8,), (1,), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_20[grid(8)](buf62,
            8, XBLOCK=8, num_warps=1, num_stages=1)
        buf64 = empty_strided_cuda((8, 1), (1, 1), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_20[grid(8)](buf64,
            8, XBLOCK=8, num_warps=1, num_stages=1)
        buf61 = reinterpret_tensor(buf17, (4, 512, 8, 8), (32768, 64, 8, 1), 0)
        del buf17
        buf65 = buf61
        del buf61
        buf66 = buf65
        del buf65
        triton_poi_fused__unsafe_index_add_convolution_leaky_relu_mul_sub_21[
            grid(131072)](buf66, buf57, buf58, buf55, buf54, primals_29,
            buf56, buf59, buf62, buf64, 131072, XBLOCK=512, num_warps=8,
            num_stages=1)
        del buf54
        del primals_29
        buf67 = extern_kernels.convolution(buf66, primals_30, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf67, (4, 256, 8, 8), (16384, 64, 8, 1))
        buf68 = empty_strided_cuda((4, 256, 8, 8), (16384, 64, 8, 1), torch
            .bool)
        triton_poi_fused_convolution_leaky_relu_22[grid(65536)](buf67,
            primals_31, buf68, 65536, XBLOCK=512, num_warps=4, num_stages=1)
        buf69 = empty_strided_cuda((4, 512, 8, 8), (32768, 64, 8, 1), torch
            .float32)
        triton_poi_fused_cat_23[grid(131072)](buf68, buf67, primals_31,
            buf26, buf69, 131072, XBLOCK=512, num_warps=8, num_stages=1)
        del buf67
        del primals_31
        buf70 = extern_kernels.convolution(buf69, primals_32, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf70, (4, 256, 8, 8), (16384, 64, 8, 1))
        buf71 = empty_strided_cuda((4, 256, 8, 8), (16384, 64, 8, 1), torch
            .bool)
        triton_poi_fused_convolution_leaky_relu_22[grid(65536)](buf70,
            primals_33, buf71, 65536, XBLOCK=512, num_warps=4, num_stages=1)
        buf72 = empty_strided_cuda((16, 1), (1, 1), torch.int64)
        triton_poi_fused__to_copy_24[grid(16)](buf72, 16, XBLOCK=16,
            num_warps=1, num_stages=1)
        buf73 = empty_strided_cuda((16, 1), (1, 1), torch.int64)
        triton_poi_fused_add_clamp_25[grid(16)](buf73, 16, XBLOCK=16,
            num_warps=1, num_stages=1)
        buf74 = empty_strided_cuda((16,), (1,), torch.int64)
        triton_poi_fused__to_copy_24[grid(16)](buf74, 16, XBLOCK=16,
            num_warps=1, num_stages=1)
        buf75 = empty_strided_cuda((16,), (1,), torch.int64)
        triton_poi_fused_add_clamp_25[grid(16)](buf75, 16, XBLOCK=16,
            num_warps=1, num_stages=1)
        buf78 = empty_strided_cuda((16,), (1,), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_26[grid(16)](buf78,
            16, XBLOCK=16, num_warps=1, num_stages=1)
        buf80 = empty_strided_cuda((16, 1), (1, 1), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_26[grid(16)](buf80,
            16, XBLOCK=16, num_warps=1, num_stages=1)
        buf77 = reinterpret_tensor(buf10, (4, 256, 16, 16), (65536, 256, 16,
            1), 0)
        del buf10
        buf81 = buf77
        del buf77
        buf82 = buf81
        del buf81
        triton_poi_fused__unsafe_index_add_convolution_leaky_relu_mul_sub_27[
            grid(262144)](buf82, buf73, buf74, buf71, buf70, primals_33,
            buf72, buf75, buf78, buf80, 262144, XBLOCK=512, num_warps=8,
            num_stages=1)
        del primals_33
        buf83 = extern_kernels.convolution(buf82, primals_34, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf83, (4, 128, 16, 16), (32768, 256, 16, 1))
        buf84 = empty_strided_cuda((4, 128, 16, 16), (32768, 256, 16, 1),
            torch.bool)
        triton_poi_fused_convolution_leaky_relu_28[grid(131072)](buf83,
            primals_35, buf84, 131072, XBLOCK=1024, num_warps=4, num_stages=1)
        buf85 = empty_strided_cuda((4, 256, 16, 16), (65536, 256, 16, 1),
            torch.float32)
        triton_poi_fused_cat_29[grid(262144)](buf84, buf83, primals_35,
            buf19, buf85, 262144, XBLOCK=512, num_warps=8, num_stages=1)
        del buf83
        del primals_35
        buf86 = extern_kernels.convolution(buf85, primals_36, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf86, (4, 128, 16, 16), (32768, 256, 16, 1))
        buf87 = empty_strided_cuda((4, 128, 16, 16), (32768, 256, 16, 1),
            torch.bool)
        triton_poi_fused_convolution_leaky_relu_28[grid(131072)](buf86,
            primals_37, buf87, 131072, XBLOCK=1024, num_warps=4, num_stages=1)
        buf88 = empty_strided_cuda((32, 1), (1, 1), torch.int64)
        triton_poi_fused__to_copy_30[grid(32)](buf88, 32, XBLOCK=32,
            num_warps=1, num_stages=1)
        buf89 = empty_strided_cuda((32, 1), (1, 1), torch.int64)
        triton_poi_fused_add_clamp_31[grid(32)](buf89, 32, XBLOCK=32,
            num_warps=1, num_stages=1)
        buf90 = empty_strided_cuda((32,), (1,), torch.int64)
        triton_poi_fused__to_copy_30[grid(32)](buf90, 32, XBLOCK=32,
            num_warps=1, num_stages=1)
        buf91 = empty_strided_cuda((32,), (1,), torch.int64)
        triton_poi_fused_add_clamp_31[grid(32)](buf91, 32, XBLOCK=32,
            num_warps=1, num_stages=1)
        buf94 = empty_strided_cuda((32,), (1,), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_32[grid(32)](buf94,
            32, XBLOCK=32, num_warps=1, num_stages=1)
        buf96 = empty_strided_cuda((32, 1), (1, 1), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_32[grid(32)](buf96,
            32, XBLOCK=32, num_warps=1, num_stages=1)
        buf93 = reinterpret_tensor(buf3, (4, 128, 32, 32), (131072, 1024, 
            32, 1), 0)
        del buf3
        buf97 = buf93
        del buf93
        buf98 = buf97
        del buf97
        triton_poi_fused__unsafe_index_add_convolution_leaky_relu_mul_sub_33[
            grid(524288)](buf98, buf89, buf90, buf87, buf86, primals_37,
            buf88, buf91, buf94, buf96, 524288, XBLOCK=512, num_warps=8,
            num_stages=1)
        del buf86
        del primals_37
        buf99 = extern_kernels.convolution(buf98, primals_38, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf99, (4, 64, 32, 32), (65536, 1024, 32, 1))
        buf100 = empty_strided_cuda((4, 64, 32, 32), (65536, 1024, 32, 1),
            torch.bool)
        triton_poi_fused_convolution_leaky_relu_34[grid(262144)](buf99,
            primals_39, buf100, 262144, XBLOCK=1024, num_warps=4, num_stages=1)
        buf101 = empty_strided_cuda((4, 128, 32, 32), (131072, 1024, 32, 1),
            torch.float32)
        triton_poi_fused_cat_35[grid(524288)](buf100, buf99, primals_39,
            buf12, buf101, 524288, XBLOCK=512, num_warps=8, num_stages=1)
        del buf99
        del primals_39
        buf102 = extern_kernels.convolution(buf101, primals_40, stride=(1, 
            1), padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf102, (4, 64, 32, 32), (65536, 1024, 32, 1))
        buf103 = empty_strided_cuda((4, 64, 32, 32), (65536, 1024, 32, 1),
            torch.bool)
        triton_poi_fused_convolution_leaky_relu_34[grid(262144)](buf102,
            primals_41, buf103, 262144, XBLOCK=1024, num_warps=4, num_stages=1)
        buf104 = empty_strided_cuda((64, 1), (1, 1), torch.int64)
        triton_poi_fused__to_copy_36[grid(64)](buf104, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf105 = empty_strided_cuda((64, 1), (1, 1), torch.int64)
        triton_poi_fused_add_clamp_37[grid(64)](buf105, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf106 = empty_strided_cuda((64,), (1,), torch.int64)
        triton_poi_fused__to_copy_36[grid(64)](buf106, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf107 = empty_strided_cuda((64,), (1,), torch.int64)
        triton_poi_fused_add_clamp_37[grid(64)](buf107, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf110 = empty_strided_cuda((64,), (1,), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_38[grid(64)](buf110,
            64, XBLOCK=64, num_warps=1, num_stages=1)
        buf112 = empty_strided_cuda((64, 1), (1, 1), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_38[grid(64)](buf112,
            64, XBLOCK=64, num_warps=1, num_stages=1)
        buf109 = empty_strided_cuda((4, 64, 64, 64), (262144, 4096, 64, 1),
            torch.float32)
        buf113 = buf109
        del buf109
        buf114 = buf113
        del buf113
        triton_poi_fused__unsafe_index_add_convolution_leaky_relu_mul_sub_39[
            grid(1048576)](buf114, buf105, buf106, buf103, buf102,
            primals_41, buf104, buf107, buf110, buf112, 1048576, XBLOCK=
            1024, num_warps=4, num_stages=1)
        del buf102
        del primals_41
        buf115 = extern_kernels.convolution(buf114, primals_42, stride=(1, 
            1), padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf115, (4, 32, 64, 64), (131072, 4096, 64, 1))
        buf116 = empty_strided_cuda((4, 32, 64, 64), (131072, 4096, 64, 1),
            torch.bool)
        triton_poi_fused_convolution_leaky_relu_40[grid(524288)](buf115,
            primals_43, buf116, 524288, XBLOCK=1024, num_warps=4, num_stages=1)
        buf117 = empty_strided_cuda((4, 64, 64, 64), (262144, 4096, 64, 1),
            torch.float32)
        triton_poi_fused_cat_41[grid(1048576)](buf116, buf115, primals_43,
            buf5, buf117, 1048576, XBLOCK=512, num_warps=8, num_stages=1)
        del primals_43
        buf118 = extern_kernels.convolution(buf117, primals_44, stride=(1, 
            1), padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf118, (4, 32, 64, 64), (131072, 4096, 64, 1))
        buf119 = empty_strided_cuda((4, 32, 64, 64), (131072, 4096, 64, 1),
            torch.bool)
        buf120 = buf115
        del buf115
        triton_poi_fused_convolution_leaky_relu_0[grid(524288)](buf118,
            primals_45, buf119, buf120, 524288, XBLOCK=1024, num_warps=4,
            num_stages=1)
        del buf118
        del primals_45
        buf121 = extern_kernels.convolution(buf120, primals_46, stride=(1, 
            1), padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf121, (4, 4, 64, 64), (16384, 4096, 64, 1))
        buf122 = empty_strided_cuda((4, 4, 64, 64), (16384, 4096, 64, 1),
            torch.bool)
        buf123 = reinterpret_tensor(buf70, (4, 4, 64, 64), (16384, 4096, 64,
            1), 0)
        del buf70
        triton_poi_fused_convolution_leaky_relu_42[grid(65536)](buf121,
            primals_47, buf122, buf123, 65536, XBLOCK=512, num_warps=4,
            num_stages=1)
        del buf121
        del primals_47
    return (buf123, primals_1, primals_3, primals_4, primals_6, primals_8,
        primals_10, primals_12, primals_14, primals_16, primals_18,
        primals_20, primals_22, primals_24, primals_26, primals_28,
        primals_30, primals_32, primals_34, primals_36, primals_38,
        primals_40, primals_42, primals_44, primals_46, buf1, buf2, buf4,
        buf5, buf6, buf8, buf9, buf11, buf12, buf13, buf15, buf16, buf18,
        buf19, buf20, buf22, buf23, buf25, buf26, buf27, buf29, buf30,
        buf32, buf33, buf34, buf36, buf37, buf39, buf40, buf41, buf42,
        buf43, buf46, buf48, buf50, buf52, buf53, buf55, buf56, buf57,
        buf58, buf59, buf62, buf64, buf66, buf68, buf69, buf71, buf72,
        buf73, buf74, buf75, buf78, buf80, buf82, buf84, buf85, buf87,
        buf88, buf89, buf90, buf91, buf94, buf96, buf98, buf100, buf101,
        buf103, buf104, buf105, buf106, buf107, buf110, buf112, buf114,
        buf116, buf117, buf119, buf120, buf122)


class down(nn.Module):
    """
    A class for creating neural network blocks containing layers:

    Average Pooling --> Convlution + Leaky ReLU --> Convolution + Leaky ReLU

    This is used in the UNet Class to create a UNet like NN architecture.

    ...

    Methods
    -------
    forward(x)
        Returns output tensor after passing input `x` to the neural network
        block.
    """

    def __init__(self, inChannels, outChannels, filterSize):
        """
        Parameters
        ----------
            inChannels : int
                number of input channels for the first convolutional layer.
            outChannels : int
                number of output channels for the first convolutional layer.
                This is also used as input and output channels for the
                second convolutional layer.
            filterSize : int
                filter size for the convolution filter. input N would create
                a N x N filter.
        """
        super(down, self).__init__()
        self.conv1 = nn.Conv2d(inChannels, outChannels, filterSize, stride=
            1, padding=int((filterSize - 1) / 2))
        self.conv2 = nn.Conv2d(outChannels, outChannels, filterSize, stride
            =1, padding=int((filterSize - 1) / 2))

    def forward(self, x):
        """
        Returns output tensor after passing input `x` to the neural network
        block.

        Parameters
        ----------
            x : tensor
                input to the NN block.

        Returns
        -------
            tensor
                output of the NN block.
        """
        x = F.avg_pool2d(x, 2)
        x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
        x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
        return x


class up(nn.Module):
    """
    A class for creating neural network blocks containing layers:

    Bilinear interpolation --> Convlution + Leaky ReLU --> Convolution + Leaky ReLU

    This is used in the UNet Class to create a UNet like NN architecture.

    ...

    Methods
    -------
    forward(x, skpCn)
        Returns output tensor after passing input `x` to the neural network
        block.
    """

    def __init__(self, inChannels, outChannels):
        """
        Parameters
        ----------
            inChannels : int
                number of input channels for the first convolutional layer.
            outChannels : int
                number of output channels for the first convolutional layer.
                This is also used for setting input and output channels for
                the second convolutional layer.
        """
        super(up, self).__init__()
        self.conv1 = nn.Conv2d(inChannels, outChannels, 3, stride=1, padding=1)
        self.conv2 = nn.Conv2d(2 * outChannels, outChannels, 3, stride=1,
            padding=1)

    def forward(self, x, skpCn):
        """
        Returns output tensor after passing input `x` to the neural network
        block.

        Parameters
        ----------
            x : tensor
                input to the NN block.
            skpCn : tensor
                skip connection input to the NN block.

        Returns
        -------
            tensor
                output of the NN block.
        """
        x = F.interpolate(x, scale_factor=2, mode='bilinear')
        x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
        x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)),
            negative_slope=0.1)
        return x


class UNetNew(nn.Module):
    """
    A class for creating UNet like architecture as specified by the
    Super SloMo paper.

    ...

    Methods
    -------
    forward(x)
        Returns output tensor after passing input `x` to the neural network
        block.
    """

    def __init__(self, inChannels, outChannels):
        """
        Parameters
        ----------
            inChannels : int
                number of input channels for the UNet.
            outChannels : int
                number of output channels for the UNet.
        """
        super(UNetNew, self).__init__()
        self.conv1 = nn.Conv2d(inChannels, 32, 7, stride=1, padding=3)
        self.conv2 = nn.Conv2d(32, 32, 7, stride=1, padding=3)
        self.down1 = down(32, 64, 5)
        self.down2 = down(64, 128, 3)
        self.down3 = down(128, 256, 3)
        self.down4 = down(256, 512, 3)
        self.down5 = down(512, 512, 3)
        self.up1 = up(512, 512)
        self.up2 = up(512, 256)
        self.up3 = up(256, 128)
        self.up4 = up(128, 64)
        self.up5 = up(64, 32)
        self.conv3 = nn.Conv2d(32, outChannels, 3, stride=1, padding=1)

    def forward(self, input_0):
        primals_1 = self.conv1.weight
        primals_2 = self.conv1.bias
        primals_4 = self.conv2.weight
        primals_5 = self.conv2.bias
        primals_6 = self.down1.conv1.weight
        primals_7 = self.down1.conv1.bias
        primals_8 = self.down1.conv2.weight
        primals_9 = self.down1.conv2.bias
        primals_10 = self.down2.conv1.weight
        primals_11 = self.down2.conv1.bias
        primals_12 = self.down2.conv2.weight
        primals_13 = self.down2.conv2.bias
        primals_14 = self.down3.conv1.weight
        primals_15 = self.down3.conv1.bias
        primals_16 = self.down3.conv2.weight
        primals_17 = self.down3.conv2.bias
        primals_18 = self.down4.conv1.weight
        primals_19 = self.down4.conv1.bias
        primals_20 = self.down4.conv2.weight
        primals_21 = self.down4.conv2.bias
        primals_22 = self.down5.conv1.weight
        primals_23 = self.down5.conv1.bias
        primals_24 = self.down5.conv2.weight
        primals_25 = self.down5.conv2.bias
        primals_26 = self.up1.conv1.weight
        primals_27 = self.up1.conv1.bias
        primals_28 = self.up1.conv2.weight
        primals_29 = self.up1.conv2.bias
        primals_30 = self.up2.conv1.weight
        primals_31 = self.up2.conv1.bias
        primals_32 = self.up2.conv2.weight
        primals_33 = self.up2.conv2.bias
        primals_34 = self.up3.conv1.weight
        primals_35 = self.up3.conv1.bias
        primals_36 = self.up3.conv2.weight
        primals_37 = self.up3.conv2.bias
        primals_38 = self.up4.conv1.weight
        primals_39 = self.up4.conv1.bias
        primals_40 = self.up4.conv2.weight
        primals_41 = self.up4.conv2.bias
        primals_42 = self.up5.conv1.weight
        primals_43 = self.up5.conv1.bias
        primals_44 = self.up5.conv2.weight
        primals_45 = self.up5.conv2.bias
        primals_46 = self.conv3.weight
        primals_47 = self.conv3.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, primals_18, primals_19,
            primals_20, primals_21, primals_22, primals_23, primals_24,
            primals_25, primals_26, primals_27, primals_28, primals_29,
            primals_30, primals_31, primals_32, primals_33, primals_34,
            primals_35, primals_36, primals_37, primals_38, primals_39,
            primals_40, primals_41, primals_42, primals_43, primals_44,
            primals_45, primals_46, primals_47])
        return output[0]


Measured latency_ms: 0.061121