import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.triton_helpers import math as tl_math
import numpy as np
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cuda = torch._C._dynamo.guards._empty_strided_cuda


@triton.jit
def triton_poi_fused_0(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    ynumel = 12
    yoffset = tl.program_id(1) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    ymask = yindex < ynumel
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    tl.full([XBLOCK, YBLOCK], True, tl.int1)
    x2 = xindex
    y3 = yindex
    y0 = yindex % 3
    y1 = yindex // 3
    tmp0 = tl.load(in_ptr0 + (x2 + 4096 * y3), ymask, eviction_policy=
        'evict_last')
    tl.store(out_ptr0 + (y0 + 3 * x2 + 12288 * y1), tmp0, ymask)


@triton.jit
def triton_poi_fused_1(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    ynumel = 192
    xnumel = 9
    yoffset = tl.program_id(1) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    ymask = yindex < ynumel
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y3 = yindex
    y0 = yindex % 3
    y1 = yindex // 3
    tmp0 = tl.load(in_ptr0 + (x2 + 9 * y3), xmask & ymask, eviction_policy=
        'evict_last')
    tl.store(out_ptr0 + (y0 + 3 * x2 + 27 * y1), tmp0, xmask & ymask)


@triton.jit
def triton_poi_fused_2(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 9
    yoffset = tl.program_id(1) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    tl.full([XBLOCK, YBLOCK], True, tl.int1)
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y3 = yindex
    y0 = yindex % 64
    y1 = yindex // 64
    tmp0 = tl.load(in_ptr0 + (x2 + 9 * y3), xmask, eviction_policy='evict_last'
        )
    tl.store(out_ptr0 + (y0 + 64 * x2 + 576 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_3(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 9
    yoffset = tl.program_id(1) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    tl.full([XBLOCK, YBLOCK], True, tl.int1)
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y3 = yindex
    y0 = yindex % 64
    y1 = yindex // 64
    tmp0 = tl.load(in_ptr0 + (x2 + 9 * y3), xmask, eviction_policy='evict_last'
        )
    tl.store(out_ptr0 + (y0 + 64 * x2 + 576 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_4(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 9
    yoffset = tl.program_id(1) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    tl.full([XBLOCK, YBLOCK], True, tl.int1)
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y3 = yindex
    y0 = yindex % 128
    y1 = yindex // 128
    tmp0 = tl.load(in_ptr0 + (x2 + 9 * y3), xmask, eviction_policy='evict_last'
        )
    tl.store(out_ptr0 + (y0 + 128 * x2 + 1152 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_5(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 9
    yoffset = tl.program_id(1) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    tl.full([XBLOCK, YBLOCK], True, tl.int1)
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y3 = yindex
    y0 = yindex % 128
    y1 = yindex // 128
    tmp0 = tl.load(in_ptr0 + (x2 + 9 * y3), xmask, eviction_policy='evict_last'
        )
    tl.store(out_ptr0 + (y0 + 128 * x2 + 1152 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_6(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 9
    yoffset = (tl.program_id(1) + tl.program_id(2) * tl.num_programs(1)
        ) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    tl.full([XBLOCK, YBLOCK], True, tl.int1)
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y3 = yindex
    y0 = yindex % 256
    y1 = yindex // 256
    tmp0 = tl.load(in_ptr0 + (x2 + 9 * y3), xmask, eviction_policy='evict_last'
        )
    tl.store(out_ptr0 + (y0 + 256 * x2 + 2304 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_7(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 9
    yoffset = (tl.program_id(1) + tl.program_id(2) * tl.num_programs(1)
        ) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    tl.full([XBLOCK, YBLOCK], True, tl.int1)
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y3 = yindex
    y0 = yindex % 256
    y1 = yindex // 256
    tmp0 = tl.load(in_ptr0 + (x2 + 9 * y3), xmask, eviction_policy='evict_last'
        )
    tl.store(out_ptr0 + (y0 + 256 * x2 + 2304 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_8(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 9
    yoffset = (tl.program_id(1) + tl.program_id(2) * tl.num_programs(1)
        ) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    tl.full([XBLOCK, YBLOCK], True, tl.int1)
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y3 = yindex
    y0 = yindex % 512
    y1 = yindex // 512
    tmp0 = tl.load(in_ptr0 + (x2 + 9 * y3), xmask, eviction_policy='evict_last'
        )
    tl.store(out_ptr0 + (y0 + 512 * x2 + 4608 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_convolution_reflection_pad2d_9(in_ptr0, in_ptr1,
    out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 52272
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex % 3
    x1 = xindex // 3 % 66
    x2 = xindex // 198 % 66
    x3 = xindex // 13068
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + (12285 + x0 + -192 * tl_math.abs(-63 + tl_math
        .abs(-1 + x2)) + -3 * tl_math.abs(-63 + tl_math.abs(-1 + x1)) + 
        12288 * x3), xmask)
    tmp1 = tl.load(in_ptr1 + x0, xmask, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tl.store(out_ptr0 + x4, tmp2, xmask)


@triton.jit
def triton_poi_fused_convolution_reflection_pad2d_relu_10(in_ptr0, in_ptr1,
    out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 1115136
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex % 64
    x1 = xindex // 64 % 66
    x2 = xindex // 4224 % 66
    x3 = xindex // 278784
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + (262080 + x0 + -4096 * tl_math.abs(-63 +
        tl_math.abs(-1 + x2)) + -64 * tl_math.abs(-63 + tl_math.abs(-1 + x1
        )) + 262144 * x3), xmask)
    tmp1 = tl.load(in_ptr1 + x0, xmask, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tl.store(out_ptr0 + x4, tmp4, xmask)


@triton.jit
def triton_poi_fused_convolution_relu_11(in_out_ptr0, in_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x2 = xindex
    x0 = xindex % 64
    tmp0 = tl.load(in_out_ptr0 + x2, None)
    tmp1 = tl.load(in_ptr0 + x0, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tl.store(in_out_ptr0 + x2, tmp4, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_12(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 % 64
    x1 = xindex // 64 % 32
    x2 = xindex // 2048
    x3 = xindex
    tmp0 = tl.load(in_ptr0 + (x0 + 128 * x1 + 8192 * x2), None)
    tmp1 = tl.load(in_ptr0 + (64 + x0 + 128 * x1 + 8192 * x2), None)
    tmp7 = tl.load(in_ptr0 + (4096 + x0 + 128 * x1 + 8192 * x2), None)
    tmp12 = tl.load(in_ptr0 + (4160 + x0 + 128 * x1 + 8192 * x2), None)
    tmp2 = tmp1 > tmp0
    tmp3 = tl.full([1], 1, tl.int8)
    tmp4 = tl.full([1], 0, tl.int8)
    tmp5 = tl.where(tmp2, tmp3, tmp4)
    tmp6 = triton_helpers.maximum(tmp1, tmp0)
    tmp8 = tmp7 > tmp6
    tmp9 = tl.full([1], 2, tl.int8)
    tmp10 = tl.where(tmp8, tmp9, tmp5)
    tmp11 = triton_helpers.maximum(tmp7, tmp6)
    tmp13 = tmp12 > tmp11
    tmp14 = tl.full([1], 3, tl.int8)
    tmp15 = tl.where(tmp13, tmp14, tmp10)
    triton_helpers.maximum(tmp12, tmp11)
    tl.store(out_ptr0 + x3, tmp15, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_reflection_pad2d_13(in_ptr0,
    out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 295936
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x0 = xindex % 64
    x1 = xindex // 64 % 34
    x2 = xindex // 2176 % 34
    x3 = xindex // 73984
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + (257920 + x0 + -8192 * tl_math.abs(-31 +
        tl_math.abs(-1 + x2)) + -128 * tl_math.abs(-31 + tl_math.abs(-1 +
        x1)) + 262144 * x3), xmask)
    tmp1 = tl.load(in_ptr0 + (257984 + x0 + -8192 * tl_math.abs(-31 +
        tl_math.abs(-1 + x2)) + -128 * tl_math.abs(-31 + tl_math.abs(-1 +
        x1)) + 262144 * x3), xmask)
    tmp3 = tl.load(in_ptr0 + (262016 + x0 + -8192 * tl_math.abs(-31 +
        tl_math.abs(-1 + x2)) + -128 * tl_math.abs(-31 + tl_math.abs(-1 +
        x1)) + 262144 * x3), xmask)
    tmp5 = tl.load(in_ptr0 + (262080 + x0 + -8192 * tl_math.abs(-31 +
        tl_math.abs(-1 + x2)) + -128 * tl_math.abs(-31 + tl_math.abs(-1 +
        x1)) + 262144 * x3), xmask)
    tmp2 = triton_helpers.maximum(tmp1, tmp0)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tmp6 = triton_helpers.maximum(tmp5, tmp4)
    tl.store(out_ptr0 + x4, tmp6, xmask)


@triton.jit
def triton_poi_fused_convolution_reflection_pad2d_relu_14(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)
    x0 = xindex % 128
    x1 = xindex // 128 % 34
    x2 = xindex // 4352 % 34
    x3 = xindex // 147968
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + (130944 + x0 + -4096 * tl_math.abs(-31 +
        tl_math.abs(-1 + x2)) + -128 * tl_math.abs(-31 + tl_math.abs(-1 +
        x1)) + 131072 * x3), None)
    tmp1 = tl.load(in_ptr1 + x0, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tl.store(out_ptr0 + x4, tmp4, None)


@triton.jit
def triton_poi_fused_convolution_relu_15(in_out_ptr0, in_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x2 = xindex
    x0 = xindex % 128
    tmp0 = tl.load(in_out_ptr0 + x2, None)
    tmp1 = tl.load(in_ptr0 + x0, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tl.store(in_out_ptr0 + x2, tmp4, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_16(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 % 128
    x1 = xindex // 128 % 16
    x2 = xindex // 2048
    x3 = xindex
    tmp0 = tl.load(in_ptr0 + (x0 + 256 * x1 + 8192 * x2), None)
    tmp1 = tl.load(in_ptr0 + (128 + x0 + 256 * x1 + 8192 * x2), None)
    tmp7 = tl.load(in_ptr0 + (4096 + x0 + 256 * x1 + 8192 * x2), None)
    tmp12 = tl.load(in_ptr0 + (4224 + x0 + 256 * x1 + 8192 * x2), None)
    tmp2 = tmp1 > tmp0
    tmp3 = tl.full([1], 1, tl.int8)
    tmp4 = tl.full([1], 0, tl.int8)
    tmp5 = tl.where(tmp2, tmp3, tmp4)
    tmp6 = triton_helpers.maximum(tmp1, tmp0)
    tmp8 = tmp7 > tmp6
    tmp9 = tl.full([1], 2, tl.int8)
    tmp10 = tl.where(tmp8, tmp9, tmp5)
    tmp11 = triton_helpers.maximum(tmp7, tmp6)
    tmp13 = tmp12 > tmp11
    tmp14 = tl.full([1], 3, tl.int8)
    tmp15 = tl.where(tmp13, tmp14, tmp10)
    triton_helpers.maximum(tmp12, tmp11)
    tl.store(out_ptr0 + x3, tmp15, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_reflection_pad2d_17(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 % 128
    x1 = xindex // 128 % 18
    x2 = xindex // 2304 % 18
    x3 = xindex // 41472
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + (126720 + x0 + -8192 * tl_math.abs(-15 +
        tl_math.abs(-1 + x2)) + -256 * tl_math.abs(-15 + tl_math.abs(-1 +
        x1)) + 131072 * x3), None)
    tmp1 = tl.load(in_ptr0 + (126848 + x0 + -8192 * tl_math.abs(-15 +
        tl_math.abs(-1 + x2)) + -256 * tl_math.abs(-15 + tl_math.abs(-1 +
        x1)) + 131072 * x3), None)
    tmp3 = tl.load(in_ptr0 + (130816 + x0 + -8192 * tl_math.abs(-15 +
        tl_math.abs(-1 + x2)) + -256 * tl_math.abs(-15 + tl_math.abs(-1 +
        x1)) + 131072 * x3), None)
    tmp5 = tl.load(in_ptr0 + (130944 + x0 + -8192 * tl_math.abs(-15 +
        tl_math.abs(-1 + x2)) + -256 * tl_math.abs(-15 + tl_math.abs(-1 +
        x1)) + 131072 * x3), None)
    tmp2 = triton_helpers.maximum(tmp1, tmp0)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tmp6 = triton_helpers.maximum(tmp5, tmp4)
    tl.store(out_ptr0 + x4, tmp6, None)


@triton.jit
def triton_poi_fused_convolution_reflection_pad2d_relu_18(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)
    x0 = xindex % 256
    x1 = xindex // 256 % 18
    x2 = xindex // 4608 % 18
    x3 = xindex // 82944
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + (65280 + x0 + -4096 * tl_math.abs(-15 +
        tl_math.abs(-1 + x2)) + -256 * tl_math.abs(-15 + tl_math.abs(-1 +
        x1)) + 65536 * x3), None)
    tmp1 = tl.load(in_ptr1 + x0, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tl.store(out_ptr0 + x4, tmp4, None)


@triton.jit
def triton_poi_fused_convolution_relu_19(in_out_ptr0, in_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x2 = xindex
    x0 = xindex % 256
    tmp0 = tl.load(in_out_ptr0 + x2, None)
    tmp1 = tl.load(in_ptr0 + x0, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tl.store(in_out_ptr0 + x2, tmp4, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_20(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 % 256
    x1 = xindex // 256 % 8
    x2 = xindex // 2048
    x3 = xindex
    tmp0 = tl.load(in_ptr0 + (x0 + 512 * x1 + 8192 * x2), None)
    tmp1 = tl.load(in_ptr0 + (256 + x0 + 512 * x1 + 8192 * x2), None)
    tmp7 = tl.load(in_ptr0 + (4096 + x0 + 512 * x1 + 8192 * x2), None)
    tmp12 = tl.load(in_ptr0 + (4352 + x0 + 512 * x1 + 8192 * x2), None)
    tmp2 = tmp1 > tmp0
    tmp3 = tl.full([1], 1, tl.int8)
    tmp4 = tl.full([1], 0, tl.int8)
    tmp5 = tl.where(tmp2, tmp3, tmp4)
    tmp6 = triton_helpers.maximum(tmp1, tmp0)
    tmp8 = tmp7 > tmp6
    tmp9 = tl.full([1], 2, tl.int8)
    tmp10 = tl.where(tmp8, tmp9, tmp5)
    tmp11 = triton_helpers.maximum(tmp7, tmp6)
    tmp13 = tmp12 > tmp11
    tmp14 = tl.full([1], 3, tl.int8)
    tmp15 = tl.where(tmp13, tmp14, tmp10)
    triton_helpers.maximum(tmp12, tmp11)
    tl.store(out_ptr0 + x3, tmp15, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_reflection_pad2d_21(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 % 256
    x1 = xindex // 256 % 10
    x2 = xindex // 2560 % 10
    x3 = xindex // 25600
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + (60928 + x0 + -8192 * tl_math.abs(-7 + tl_math
        .abs(-1 + x2)) + -512 * tl_math.abs(-7 + tl_math.abs(-1 + x1)) + 
        65536 * x3), None)
    tmp1 = tl.load(in_ptr0 + (61184 + x0 + -8192 * tl_math.abs(-7 + tl_math
        .abs(-1 + x2)) + -512 * tl_math.abs(-7 + tl_math.abs(-1 + x1)) + 
        65536 * x3), None)
    tmp3 = tl.load(in_ptr0 + (65024 + x0 + -8192 * tl_math.abs(-7 + tl_math
        .abs(-1 + x2)) + -512 * tl_math.abs(-7 + tl_math.abs(-1 + x1)) + 
        65536 * x3), None)
    tmp5 = tl.load(in_ptr0 + (65280 + x0 + -8192 * tl_math.abs(-7 + tl_math
        .abs(-1 + x2)) + -512 * tl_math.abs(-7 + tl_math.abs(-1 + x1)) + 
        65536 * x3), None)
    tmp2 = triton_helpers.maximum(tmp1, tmp0)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tmp6 = triton_helpers.maximum(tmp5, tmp4)
    tl.store(out_ptr0 + x4, tmp6, None)


@triton.jit
def triton_poi_fused_convolution_reflection_pad2d_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)
    x0 = xindex % 512
    x1 = xindex // 512 % 10
    x2 = xindex // 5120 % 10
    x3 = xindex // 51200
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + (32256 + x0 + -4096 * tl_math.abs(-7 + tl_math
        .abs(-1 + x2)) + -512 * tl_math.abs(-7 + tl_math.abs(-1 + x1)) + 
        32768 * x3), None)
    tmp1 = tl.load(in_ptr1 + x0, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tl.store(out_ptr0 + x4, tmp4, None)


@triton.jit
def triton_poi_fused_convolution_relu_23(in_out_ptr0, in_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x2 = xindex
    x0 = xindex % 512
    tmp0 = tl.load(in_out_ptr0 + x2, None)
    tmp1 = tl.load(in_ptr0 + x0, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tl.store(in_out_ptr0 + x2, tmp4, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_24(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 % 512
    x1 = xindex // 512 % 4
    x2 = xindex // 2048
    x3 = xindex
    tmp0 = tl.load(in_ptr0 + (x0 + 1024 * x1 + 8192 * x2), None)
    tmp1 = tl.load(in_ptr0 + (512 + x0 + 1024 * x1 + 8192 * x2), None)
    tmp7 = tl.load(in_ptr0 + (4096 + x0 + 1024 * x1 + 8192 * x2), None)
    tmp12 = tl.load(in_ptr0 + (4608 + x0 + 1024 * x1 + 8192 * x2), None)
    tmp2 = tmp1 > tmp0
    tmp3 = tl.full([1], 1, tl.int8)
    tmp4 = tl.full([1], 0, tl.int8)
    tmp5 = tl.where(tmp2, tmp3, tmp4)
    tmp6 = triton_helpers.maximum(tmp1, tmp0)
    tmp8 = tmp7 > tmp6
    tmp9 = tl.full([1], 2, tl.int8)
    tmp10 = tl.where(tmp8, tmp9, tmp5)
    tmp11 = triton_helpers.maximum(tmp7, tmp6)
    tmp13 = tmp12 > tmp11
    tmp14 = tl.full([1], 3, tl.int8)
    tmp15 = tl.where(tmp13, tmp14, tmp10)
    triton_helpers.maximum(tmp12, tmp11)
    tl.store(out_ptr0 + x3, tmp15, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_reflection_pad2d_25(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 % 512
    x1 = xindex // 512 % 6
    x2 = xindex // 3072 % 6
    x3 = xindex // 18432
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + (27648 + x0 + -8192 * tl_math.abs(-3 + tl_math
        .abs(-1 + x2)) + -1024 * tl_math.abs(-3 + tl_math.abs(-1 + x1)) + 
        32768 * x3), None)
    tmp1 = tl.load(in_ptr0 + (28160 + x0 + -8192 * tl_math.abs(-3 + tl_math
        .abs(-1 + x2)) + -1024 * tl_math.abs(-3 + tl_math.abs(-1 + x1)) + 
        32768 * x3), None)
    tmp3 = tl.load(in_ptr0 + (31744 + x0 + -8192 * tl_math.abs(-3 + tl_math
        .abs(-1 + x2)) + -1024 * tl_math.abs(-3 + tl_math.abs(-1 + x1)) + 
        32768 * x3), None)
    tmp5 = tl.load(in_ptr0 + (32256 + x0 + -8192 * tl_math.abs(-3 + tl_math
        .abs(-1 + x2)) + -1024 * tl_math.abs(-3 + tl_math.abs(-1 + x1)) + 
        32768 * x3), None)
    tmp2 = triton_helpers.maximum(tmp1, tmp0)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tmp6 = triton_helpers.maximum(tmp5, tmp4)
    tl.store(out_ptr0 + x4, tmp6, None)


@triton.jit
def triton_poi_fused_convolution_relu_threshold_backward_26(in_ptr0,
    in_ptr1, out_ptr0, out_ptr1, ynumel, xnumel, YBLOCK: tl.constexpr,
    XBLOCK: tl.constexpr):
    xnumel = 16
    yoffset = tl.program_id(1) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    tl.full([XBLOCK, YBLOCK], True, tl.int1)
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y0 = yindex % 512
    y1 = yindex // 512
    y3 = yindex
    tmp0 = tl.load(in_ptr0 + (y0 + 512 * x2 + 8192 * y1), xmask,
        eviction_policy='evict_last')
    tmp1 = tl.load(in_ptr1 + y0, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1, 1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tmp5 = 0.0
    tmp6 = tmp4 <= tmp5
    tl.store(out_ptr0 + (x2 + 16 * y3), tmp4, xmask)
    tl.store(out_ptr1 + (y0 + 512 * x2 + 8192 * y1), tmp6, xmask)


@triton.jit
def triton_poi_fused_convolution_relu_threshold_backward_27(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)
    x2 = xindex
    x0 = xindex % 512
    tmp0 = tl.load(in_ptr0 + x2, None)
    tmp1 = tl.load(in_ptr1 + x0, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tmp5 = 0.0
    tmp6 = tmp4 <= tmp5
    tl.store(out_ptr0 + x2, tmp6, None)


@triton.jit
def triton_poi_fused_convolution_relu_threshold_backward_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)
    x2 = xindex
    x0 = xindex % 256
    tmp0 = tl.load(in_ptr0 + x2, None)
    tmp1 = tl.load(in_ptr1 + x0, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tmp5 = 0.0
    tmp6 = tmp4 <= tmp5
    tl.store(out_ptr0 + x2, tmp6, None)


@triton.jit
def triton_poi_fused_convolution_relu_threshold_backward_29(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)
    x2 = xindex
    x0 = xindex % 128
    tmp0 = tl.load(in_ptr0 + x2, None)
    tmp1 = tl.load(in_ptr1 + x0, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tmp5 = 0.0
    tmp6 = tmp4 <= tmp5
    tl.store(out_ptr0 + x2, tmp6, None)


@triton.jit
def triton_poi_fused_convolution_relu_threshold_backward_30(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)
    x2 = xindex
    x0 = xindex % 64
    tmp0 = tl.load(in_ptr0 + x2, None)
    tmp1 = tl.load(in_ptr1 + x0, None, eviction_policy='evict_last')
    tmp2 = tmp0 + tmp1
    tmp3 = tl.full([1], 0, tl.int32)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tmp5 = 0.0
    tmp6 = tmp4 <= tmp5
    tl.store(out_ptr0 + x2, tmp6, 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) = args
    args.clear()
    assert_size_stride(primals_1, (3, 3, 1, 1), (3, 1, 1, 1))
    assert_size_stride(primals_2, (3,), (1,))
    assert_size_stride(primals_3, (4, 3, 64, 64), (12288, 4096, 64, 1))
    assert_size_stride(primals_4, (64, 3, 3, 3), (27, 9, 3, 1))
    assert_size_stride(primals_5, (64,), (1,))
    assert_size_stride(primals_6, (64, 64, 3, 3), (576, 9, 3, 1))
    assert_size_stride(primals_7, (64,), (1,))
    assert_size_stride(primals_8, (128, 64, 3, 3), (576, 9, 3, 1))
    assert_size_stride(primals_9, (128,), (1,))
    assert_size_stride(primals_10, (128, 128, 3, 3), (1152, 9, 3, 1))
    assert_size_stride(primals_11, (128,), (1,))
    assert_size_stride(primals_12, (256, 128, 3, 3), (1152, 9, 3, 1))
    assert_size_stride(primals_13, (256,), (1,))
    assert_size_stride(primals_14, (256, 256, 3, 3), (2304, 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, (256, 256, 3, 3), (2304, 9, 3, 1))
    assert_size_stride(primals_19, (256,), (1,))
    assert_size_stride(primals_20, (512, 256, 3, 3), (2304, 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, 512, 3, 3), (4608, 9, 3, 1))
    assert_size_stride(primals_29, (512,), (1,))
    with torch.cuda._DeviceGuard(0):
        torch.cuda.set_device(0)
        buf0 = empty_strided_cuda((4, 3, 64, 64), (12288, 1, 192, 3), torch
            .float32)
        get_raw_stream(0)
        triton_poi_fused_0[grid(12, 4096)](primals_3, buf0, 12, 4096,
            XBLOCK=64, YBLOCK=16, num_warps=4, num_stages=1)
        del primals_3
        buf1 = empty_strided_cuda((64, 3, 3, 3), (27, 1, 9, 3), torch.float32)
        triton_poi_fused_1[grid(192, 9)](primals_4, buf1, 192, 9, XBLOCK=16,
            YBLOCK=64, num_warps=4, num_stages=1)
        del primals_4
        buf2 = empty_strided_cuda((64, 64, 3, 3), (576, 1, 192, 64), torch.
            float32)
        triton_poi_fused_2[grid(4096, 9)](primals_6, buf2, 4096, 9, XBLOCK=
            16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_6
        buf3 = empty_strided_cuda((128, 64, 3, 3), (576, 1, 192, 64), torch
            .float32)
        triton_poi_fused_3[grid(8192, 9)](primals_8, buf3, 8192, 9, XBLOCK=
            16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_8
        buf4 = empty_strided_cuda((128, 128, 3, 3), (1152, 1, 384, 128),
            torch.float32)
        triton_poi_fused_4[grid(16384, 9)](primals_10, buf4, 16384, 9,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_10
        buf5 = empty_strided_cuda((256, 128, 3, 3), (1152, 1, 384, 128),
            torch.float32)
        triton_poi_fused_5[grid(32768, 9)](primals_12, buf5, 32768, 9,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_12
        buf6 = empty_strided_cuda((256, 256, 3, 3), (2304, 1, 768, 256),
            torch.float32)
        triton_poi_fused_6[grid(65536, 9)](primals_14, buf6, 65536, 9,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_14
        buf7 = empty_strided_cuda((256, 256, 3, 3), (2304, 1, 768, 256),
            torch.float32)
        triton_poi_fused_6[grid(65536, 9)](primals_16, buf7, 65536, 9,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_16
        buf8 = empty_strided_cuda((256, 256, 3, 3), (2304, 1, 768, 256),
            torch.float32)
        triton_poi_fused_6[grid(65536, 9)](primals_18, buf8, 65536, 9,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_18
        buf9 = empty_strided_cuda((512, 256, 3, 3), (2304, 1, 768, 256),
            torch.float32)
        triton_poi_fused_7[grid(131072, 9)](primals_20, buf9, 131072, 9,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_20
        buf10 = empty_strided_cuda((512, 512, 3, 3), (4608, 1, 1536, 512),
            torch.float32)
        triton_poi_fused_8[grid(262144, 9)](primals_22, buf10, 262144, 9,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_22
        buf11 = empty_strided_cuda((512, 512, 3, 3), (4608, 1, 1536, 512),
            torch.float32)
        triton_poi_fused_8[grid(262144, 9)](primals_24, buf11, 262144, 9,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_24
        buf12 = empty_strided_cuda((512, 512, 3, 3), (4608, 1, 1536, 512),
            torch.float32)
        triton_poi_fused_8[grid(262144, 9)](primals_26, buf12, 262144, 9,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_26
        buf13 = empty_strided_cuda((512, 512, 3, 3), (4608, 1, 1536, 512),
            torch.float32)
        triton_poi_fused_8[grid(262144, 9)](primals_28, buf13, 262144, 9,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_28
        buf14 = extern_kernels.convolution(buf0, primals_1, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf14, (4, 3, 64, 64), (12288, 1, 192, 3))
        buf15 = empty_strided_cuda((4, 3, 66, 66), (13068, 1, 198, 3),
            torch.float32)
        triton_poi_fused_convolution_reflection_pad2d_9[grid(52272)](buf14,
            primals_2, buf15, 52272, XBLOCK=512, num_warps=4, num_stages=1)
        del buf14
        del primals_2
        buf16 = extern_kernels.convolution(buf15, buf1, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf16, (4, 64, 64, 64), (262144, 1, 4096, 64))
        buf17 = empty_strided_cuda((4, 64, 66, 66), (278784, 1, 4224, 64),
            torch.float32)
        triton_poi_fused_convolution_reflection_pad2d_relu_10[grid(1115136)](
            buf16, primals_5, buf17, 1115136, XBLOCK=1024, num_warps=4,
            num_stages=1)
        buf18 = extern_kernels.convolution(buf17, buf2, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf18, (4, 64, 64, 64), (262144, 1, 4096, 64))
        buf19 = buf18
        del buf18
        triton_poi_fused_convolution_relu_11[grid(1048576)](buf19,
            primals_7, 1048576, XBLOCK=512, num_warps=8, num_stages=1)
        del primals_7
        buf20 = empty_strided_cuda((4, 64, 32, 32), (65536, 1, 2048, 64),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_12[grid(262144)](buf19,
            buf20, 262144, XBLOCK=512, num_warps=8, num_stages=1)
        buf21 = empty_strided_cuda((4, 64, 34, 34), (73984, 1, 2176, 64),
            torch.float32)
        triton_poi_fused_max_pool2d_with_indices_reflection_pad2d_13[grid(
            295936)](buf19, buf21, 295936, XBLOCK=1024, num_warps=4,
            num_stages=1)
        buf22 = extern_kernels.convolution(buf21, buf3, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf22, (4, 128, 32, 32), (131072, 1, 4096, 128))
        buf23 = empty_strided_cuda((4, 128, 34, 34), (147968, 1, 4352, 128),
            torch.float32)
        triton_poi_fused_convolution_reflection_pad2d_relu_14[grid(591872)](
            buf22, primals_9, buf23, 591872, XBLOCK=512, num_warps=8,
            num_stages=1)
        buf24 = extern_kernels.convolution(buf23, buf4, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf24, (4, 128, 32, 32), (131072, 1, 4096, 128))
        buf25 = buf24
        del buf24
        triton_poi_fused_convolution_relu_15[grid(524288)](buf25,
            primals_11, 524288, XBLOCK=512, num_warps=8, num_stages=1)
        del primals_11
        buf26 = empty_strided_cuda((4, 128, 16, 16), (32768, 1, 2048, 128),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_16[grid(131072)](buf25,
            buf26, 131072, XBLOCK=512, num_warps=8, num_stages=1)
        buf27 = empty_strided_cuda((4, 128, 18, 18), (41472, 1, 2304, 128),
            torch.float32)
        triton_poi_fused_max_pool2d_with_indices_reflection_pad2d_17[grid(
            165888)](buf25, buf27, 165888, XBLOCK=512, num_warps=8,
            num_stages=1)
        buf28 = extern_kernels.convolution(buf27, buf5, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf28, (4, 256, 16, 16), (65536, 1, 4096, 256))
        buf29 = empty_strided_cuda((4, 256, 18, 18), (82944, 1, 4608, 256),
            torch.float32)
        triton_poi_fused_convolution_reflection_pad2d_relu_18[grid(331776)](
            buf28, primals_13, buf29, 331776, XBLOCK=1024, num_warps=4,
            num_stages=1)
        buf30 = extern_kernels.convolution(buf29, buf6, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf30, (4, 256, 16, 16), (65536, 1, 4096, 256))
        buf31 = empty_strided_cuda((4, 256, 18, 18), (82944, 1, 4608, 256),
            torch.float32)
        triton_poi_fused_convolution_reflection_pad2d_relu_18[grid(331776)](
            buf30, primals_15, buf31, 331776, XBLOCK=1024, num_warps=4,
            num_stages=1)
        buf32 = extern_kernels.convolution(buf31, buf7, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf32, (4, 256, 16, 16), (65536, 1, 4096, 256))
        buf33 = empty_strided_cuda((4, 256, 18, 18), (82944, 1, 4608, 256),
            torch.float32)
        triton_poi_fused_convolution_reflection_pad2d_relu_18[grid(331776)](
            buf32, primals_17, buf33, 331776, XBLOCK=1024, num_warps=4,
            num_stages=1)
        buf34 = extern_kernels.convolution(buf33, buf8, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf34, (4, 256, 16, 16), (65536, 1, 4096, 256))
        buf35 = buf34
        del buf34
        triton_poi_fused_convolution_relu_19[grid(262144)](buf35,
            primals_19, 262144, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_19
        buf36 = empty_strided_cuda((4, 256, 8, 8), (16384, 1, 2048, 256),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_20[grid(65536)](buf35,
            buf36, 65536, XBLOCK=256, num_warps=4, num_stages=1)
        buf37 = empty_strided_cuda((4, 256, 10, 10), (25600, 1, 2560, 256),
            torch.float32)
        triton_poi_fused_max_pool2d_with_indices_reflection_pad2d_21[grid(
            102400)](buf35, buf37, 102400, XBLOCK=512, num_warps=8,
            num_stages=1)
        buf38 = extern_kernels.convolution(buf37, buf9, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf38, (4, 512, 8, 8), (32768, 1, 4096, 512))
        buf39 = empty_strided_cuda((4, 512, 10, 10), (51200, 1, 5120, 512),
            torch.float32)
        triton_poi_fused_convolution_reflection_pad2d_relu_22[grid(204800)](
            buf38, primals_21, buf39, 204800, XBLOCK=512, num_warps=8,
            num_stages=1)
        buf40 = extern_kernels.convolution(buf39, buf10, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf40, (4, 512, 8, 8), (32768, 1, 4096, 512))
        buf41 = empty_strided_cuda((4, 512, 10, 10), (51200, 1, 5120, 512),
            torch.float32)
        triton_poi_fused_convolution_reflection_pad2d_relu_22[grid(204800)](
            buf40, primals_23, buf41, 204800, XBLOCK=512, num_warps=8,
            num_stages=1)
        buf42 = extern_kernels.convolution(buf41, buf11, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf42, (4, 512, 8, 8), (32768, 1, 4096, 512))
        buf43 = empty_strided_cuda((4, 512, 10, 10), (51200, 1, 5120, 512),
            torch.float32)
        triton_poi_fused_convolution_reflection_pad2d_relu_22[grid(204800)](
            buf42, primals_25, buf43, 204800, XBLOCK=512, num_warps=8,
            num_stages=1)
        buf44 = extern_kernels.convolution(buf43, buf12, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf44, (4, 512, 8, 8), (32768, 1, 4096, 512))
        buf45 = buf44
        del buf44
        triton_poi_fused_convolution_relu_23[grid(131072)](buf45,
            primals_27, 131072, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_27
        buf46 = empty_strided_cuda((4, 512, 4, 4), (8192, 1, 2048, 512),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_24[grid(32768)](buf45,
            buf46, 32768, XBLOCK=256, num_warps=4, num_stages=1)
        buf47 = empty_strided_cuda((4, 512, 6, 6), (18432, 1, 3072, 512),
            torch.float32)
        triton_poi_fused_max_pool2d_with_indices_reflection_pad2d_25[grid(
            73728)](buf45, buf47, 73728, XBLOCK=512, num_warps=8, num_stages=1)
        buf48 = extern_kernels.convolution(buf47, buf13, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf48, (4, 512, 4, 4), (8192, 1, 2048, 512))
        buf49 = empty_strided_cuda((4, 512, 4, 4), (8192, 16, 4, 1), torch.
            float32)
        buf50 = empty_strided_cuda((4, 512, 4, 4), (8192, 1, 2048, 512),
            torch.bool)
        triton_poi_fused_convolution_relu_threshold_backward_26[grid(2048, 16)
            ](buf48, primals_29, buf49, buf50, 2048, 16, XBLOCK=16, YBLOCK=
            16, num_warps=4, num_stages=1)
        del buf48
        del primals_29
        buf51 = empty_strided_cuda((4, 512, 8, 8), (32768, 1, 4096, 512),
            torch.bool)
        triton_poi_fused_convolution_relu_threshold_backward_27[grid(131072)](
            buf42, primals_25, buf51, 131072, XBLOCK=1024, num_warps=4,
            num_stages=1)
        del buf42
        del primals_25
        buf52 = empty_strided_cuda((4, 512, 8, 8), (32768, 1, 4096, 512),
            torch.bool)
        triton_poi_fused_convolution_relu_threshold_backward_27[grid(131072)](
            buf40, primals_23, buf52, 131072, XBLOCK=1024, num_warps=4,
            num_stages=1)
        del buf40
        del primals_23
        buf53 = empty_strided_cuda((4, 512, 8, 8), (32768, 1, 4096, 512),
            torch.bool)
        triton_poi_fused_convolution_relu_threshold_backward_27[grid(131072)](
            buf38, primals_21, buf53, 131072, XBLOCK=1024, num_warps=4,
            num_stages=1)
        del buf38
        del primals_21
        buf54 = empty_strided_cuda((4, 256, 16, 16), (65536, 1, 4096, 256),
            torch.bool)
        triton_poi_fused_convolution_relu_threshold_backward_28[grid(262144)](
            buf32, primals_17, buf54, 262144, XBLOCK=512, num_warps=8,
            num_stages=1)
        del buf32
        del primals_17
        buf55 = empty_strided_cuda((4, 256, 16, 16), (65536, 1, 4096, 256),
            torch.bool)
        triton_poi_fused_convolution_relu_threshold_backward_28[grid(262144)](
            buf30, primals_15, buf55, 262144, XBLOCK=512, num_warps=8,
            num_stages=1)
        del buf30
        del primals_15
        buf56 = empty_strided_cuda((4, 256, 16, 16), (65536, 1, 4096, 256),
            torch.bool)
        triton_poi_fused_convolution_relu_threshold_backward_28[grid(262144)](
            buf28, primals_13, buf56, 262144, XBLOCK=512, num_warps=8,
            num_stages=1)
        del buf28
        del primals_13
        buf57 = empty_strided_cuda((4, 128, 32, 32), (131072, 1, 4096, 128),
            torch.bool)
        triton_poi_fused_convolution_relu_threshold_backward_29[grid(524288)](
            buf22, primals_9, buf57, 524288, XBLOCK=512, num_warps=8,
            num_stages=1)
        del buf22
        del primals_9
        buf58 = empty_strided_cuda((4, 64, 64, 64), (262144, 1, 4096, 64),
            torch.bool)
        triton_poi_fused_convolution_relu_threshold_backward_30[grid(1048576)](
            buf16, primals_5, buf58, 1048576, XBLOCK=1024, num_warps=4,
            num_stages=1)
        del buf16
        del primals_5
    return (buf49, primals_1, buf0, buf1, buf2, buf3, buf4, buf5, buf6,
        buf7, buf8, buf9, buf10, buf11, buf12, buf13, buf15, buf17, buf19,
        buf20, buf21, buf23, buf25, buf26, buf27, buf29, buf31, buf33,
        buf35, buf36, buf37, buf39, buf41, buf43, buf45, buf46, buf47,
        buf50, buf51, buf52, buf53, buf54, buf55, buf56, buf57, buf58)


class Encoder5New(nn.Module):

    def __init__(self, model=None, fixed=False):
        super(Encoder5New, self).__init__()
        self.fixed = fixed
        self.conv0 = nn.Conv2d(3, 3, 1, 1, 0)
        self.conv0.weight = nn.Parameter(torch.from_numpy(np.array([[[[0]],
            [[0]], [[255]]], [[[0]], [[255]], [[0]]], [[[255]], [[0]], [[0]
            ]]])).float())
        self.conv0.bias = nn.Parameter(torch.from_numpy(np.array([-103.939,
            -116.779, -123.68])).float())
        self.conv11 = nn.Conv2d(3, 64, 3, 1, 0)
        self.conv12 = nn.Conv2d(64, 64, 3, 1, 0)
        self.conv21 = nn.Conv2d(64, 128, 3, 1, 0)
        self.conv22 = nn.Conv2d(128, 128, 3, 1, 0)
        self.conv31 = nn.Conv2d(128, 256, 3, 1, 0)
        self.conv32 = nn.Conv2d(256, 256, 3, 1, 0)
        self.conv33 = nn.Conv2d(256, 256, 3, 1, 0)
        self.conv34 = nn.Conv2d(256, 256, 3, 1, 0)
        self.conv41 = nn.Conv2d(256, 512, 3, 1, 0)
        self.conv42 = nn.Conv2d(512, 512, 3, 1, 0)
        self.conv43 = nn.Conv2d(512, 512, 3, 1, 0)
        self.conv44 = nn.Conv2d(512, 512, 3, 1, 0)
        self.conv51 = nn.Conv2d(512, 512, 3, 1, 0)
        self.relu = nn.ReLU(inplace=True)
        self.pool = nn.MaxPool2d(kernel_size=2, stride=2, return_indices=False)
        self.pad = nn.ReflectionPad2d((1, 1, 1, 1))
        if model:
            assert os.path.splitext(model)[1] in {'.t7', '.pth'}
            if model.endswith('.t7'):
                t7_model = load_lua(model)
                load_param(t7_model, 0, self.conv0)
                load_param(t7_model, 2, self.conv11)
                load_param(t7_model, 5, self.conv12)
                load_param(t7_model, 9, self.conv21)
                load_param(t7_model, 12, self.conv22)
                load_param(t7_model, 16, self.conv31)
                load_param(t7_model, 19, self.conv32)
                load_param(t7_model, 22, self.conv33)
                load_param(t7_model, 25, self.conv34)
                load_param(t7_model, 29, self.conv41)
                load_param(t7_model, 32, self.conv42)
                load_param(t7_model, 35, self.conv43)
                load_param(t7_model, 38, self.conv44)
                load_param(t7_model, 42, self.conv51)
            else:
                self.load_state_dict(torch.load(model, map_location=lambda
                    storage, location: storage))
        if fixed:
            for param in self.parameters():
                param.requires_grad = False

    def forward_branch(self, input):
        out0 = self.conv0(input)
        out11 = self.relu(self.conv11(self.pad(out0)))
        out12 = self.relu(self.conv12(self.pad(out11)))
        out12 = self.pool(out12)
        out21 = self.relu(self.conv21(self.pad(out12)))
        out22 = self.relu(self.conv22(self.pad(out21)))
        out22 = self.pool(out22)
        out31 = self.relu(self.conv31(self.pad(out22)))
        out32 = self.relu(self.conv32(self.pad(out31)))
        out33 = self.relu(self.conv33(self.pad(out32)))
        out34 = self.relu(self.conv34(self.pad(out33)))
        out34 = self.pool(out34)
        out41 = self.relu(self.conv41(self.pad(out34)))
        out42 = self.relu(self.conv42(self.pad(out41)))
        out43 = self.relu(self.conv43(self.pad(out42)))
        out44 = self.relu(self.conv44(self.pad(out43)))
        out44 = self.pool(out44)
        out51 = self.relu(self.conv51(self.pad(out44)))
        return out11, out21, out31, out41, out51

    def forward(self, input_0):
        primals_1 = self.conv0.weight
        primals_2 = self.conv0.bias
        primals_4 = self.conv11.weight
        primals_5 = self.conv11.bias
        primals_6 = self.conv12.weight
        primals_7 = self.conv12.bias
        primals_8 = self.conv21.weight
        primals_9 = self.conv21.bias
        primals_10 = self.conv22.weight
        primals_11 = self.conv22.bias
        primals_12 = self.conv31.weight
        primals_13 = self.conv31.bias
        primals_14 = self.conv32.weight
        primals_15 = self.conv32.bias
        primals_16 = self.conv33.weight
        primals_17 = self.conv33.bias
        primals_18 = self.conv34.weight
        primals_19 = self.conv34.bias
        primals_20 = self.conv41.weight
        primals_21 = self.conv41.bias
        primals_22 = self.conv42.weight
        primals_23 = self.conv42.bias
        primals_24 = self.conv43.weight
        primals_25 = self.conv43.bias
        primals_26 = self.conv44.weight
        primals_27 = self.conv44.bias
        primals_28 = self.conv51.weight
        primals_29 = self.conv51.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])
        return output[0]


Measured latency_ms: 0.897978