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
import torch
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 = 96
    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_1(in_ptr0, out_ptr0, ynumel, xnumel, YBLOCK: tl.
    constexpr, XBLOCK: tl.constexpr):
    xnumel = 9
    yoffset = tl.program_id(1) * YBLOCK
    yindex = yoffset + tl.arange(0, YBLOCK)[None, :]
    tl.full([XBLOCK, YBLOCK], True, tl.int1)
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:, None]
    xmask = xindex < xnumel
    x2 = xindex
    y3 = yindex
    y0 = yindex % 32
    y1 = yindex // 32
    tmp0 = tl.load(in_ptr0 + (x2 + 9 * y3), xmask, eviction_policy='evict_last'
        )
    tl.store(out_ptr0 + (y0 + 32 * x2 + 288 * y1), tmp0, xmask)


@triton.jit
def triton_poi_fused_2(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_3(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_4(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_div_5(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')
    tmp1 = 0.00392156862745098
    tmp2 = tmp0 * tmp1
    tl.store(out_ptr0 + (y0 + 3 * x2 + 12288 * y1), tmp2, ymask)


@triton.jit
def triton_poi_fused_constant_pad_nd_convolution_6(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
    x2 = xindex // 198 % 66
    x1 = xindex // 3 % 66
    x3 = xindex // 13068
    x4 = xindex % 198
    x0 = xindex % 3
    x6 = xindex
    tmp0 = -1 + x2
    tmp1 = tl.full([1], 0, tl.int64)
    tmp2 = tmp0 >= tmp1
    tmp3 = tl.full([1], 64, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = -1 + x1
    tmp6 = tmp5 >= tmp1
    tmp7 = tmp5 < tmp3
    tmp8 = tmp2 & tmp4
    tmp9 = tmp8 & tmp6
    tmp10 = tmp9 & tmp7
    tmp11 = tl.load(in_ptr0 + (-195 + x4 + 192 * x2 + 12288 * x3), tmp10 &
        xmask, other=0.0)
    tmp12 = tl.load(in_ptr1 + x0, tmp10 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp13 = tmp11 + tmp12
    tmp14 = tl.full(tmp13.shape, 0.0, tmp13.dtype)
    tmp15 = tl.where(tmp10, tmp13, tmp14)
    tl.store(out_ptr0 + x6, tmp15, xmask)


@triton.jit
def triton_poi_fused_constant_pad_nd_convolution_relu_7(in_ptr0, in_ptr1,
    out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 557568
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex // 2112 % 66
    x1 = xindex // 32 % 66
    x3 = xindex // 139392
    x4 = xindex % 2112
    x0 = xindex % 32
    x6 = xindex
    tmp0 = -1 + x2
    tmp1 = tl.full([1], 0, tl.int64)
    tmp2 = tmp0 >= tmp1
    tmp3 = tl.full([1], 64, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = -1 + x1
    tmp6 = tmp5 >= tmp1
    tmp7 = tmp5 < tmp3
    tmp8 = tmp2 & tmp4
    tmp9 = tmp8 & tmp6
    tmp10 = tmp9 & tmp7
    tmp11 = tl.load(in_ptr0 + (-2080 + x4 + 2048 * x2 + 131072 * x3), tmp10 &
        xmask, other=0.0)
    tmp12 = tl.load(in_ptr1 + x0, tmp10 & xmask, eviction_policy=
        'evict_last', other=0.0)
    tmp13 = tmp11 + tmp12
    tmp14 = tl.full([1], 0, tl.int32)
    tmp15 = triton_helpers.maximum(tmp14, tmp13)
    tmp16 = tl.full(tmp15.shape, 0.0, tmp15.dtype)
    tmp17 = tl.where(tmp10, tmp15, tmp16)
    tl.store(out_ptr0 + x6, tmp17, xmask)


@triton.jit
def triton_poi_fused_convolution_relu_8(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_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 % 256
    x1 = xindex // 256 % 32
    x2 = xindex // 8192
    x3 = xindex
    tmp0 = tl.load(in_ptr0 + (x0 + 512 * x1 + 32768 * x2), None)
    tmp1 = tl.load(in_ptr0 + (256 + x0 + 512 * x1 + 32768 * x2), None)
    tmp7 = tl.load(in_ptr0 + (16384 + x0 + 512 * x1 + 32768 * x2), None)
    tmp12 = tl.load(in_ptr0 + (16640 + x0 + 512 * x1 + 32768 * 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_constant_pad_nd_max_pool2d_with_indices_10(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)
    x2 = xindex // 8704 % 34
    x1 = xindex // 256 % 34
    x0 = xindex % 256
    x3 = xindex // 295936
    x6 = xindex
    tmp0 = -1 + x2
    tmp1 = tl.full([1], 0, tl.int64)
    tmp2 = tmp0 >= tmp1
    tmp3 = tl.full([1], 32, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = -1 + x1
    tmp6 = tmp5 >= tmp1
    tmp7 = tmp5 < tmp3
    tmp8 = tmp2 & tmp4
    tmp9 = tmp8 & tmp6
    tmp10 = tmp9 & tmp7
    tmp11 = tl.load(in_ptr0 + (-33280 + x0 + 512 * x1 + 32768 * x2 + 
        1048576 * x3), tmp10, other=0.0)
    tmp12 = tl.load(in_ptr0 + (-33024 + x0 + 512 * x1 + 32768 * x2 + 
        1048576 * x3), tmp10, other=0.0)
    tmp13 = triton_helpers.maximum(tmp12, tmp11)
    tmp14 = tl.load(in_ptr0 + (-16896 + x0 + 512 * x1 + 32768 * x2 + 
        1048576 * x3), tmp10, other=0.0)
    tmp15 = triton_helpers.maximum(tmp14, tmp13)
    tmp16 = tl.load(in_ptr0 + (-16640 + x0 + 512 * x1 + 32768 * x2 + 
        1048576 * x3), tmp10, other=0.0)
    tmp17 = triton_helpers.maximum(tmp16, tmp15)
    tmp18 = tl.full(tmp17.shape, 0.0, tmp17.dtype)
    tmp19 = tl.where(tmp10, tmp17, tmp18)
    tl.store(out_ptr0 + x6, tmp19, None)


@triton.jit
def triton_poi_fused_constant_pad_nd_convolution_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)
    x2 = xindex // 17408 % 34
    x1 = xindex // 512 % 34
    x3 = xindex // 591872
    x4 = xindex % 17408
    x0 = xindex % 512
    x6 = xindex
    tmp0 = -1 + x2
    tmp1 = tl.full([1], 0, tl.int64)
    tmp2 = tmp0 >= tmp1
    tmp3 = tl.full([1], 32, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = -1 + x1
    tmp6 = tmp5 >= tmp1
    tmp7 = tmp5 < tmp3
    tmp8 = tmp2 & tmp4
    tmp9 = tmp8 & tmp6
    tmp10 = tmp9 & tmp7
    tmp11 = tl.load(in_ptr0 + (-16896 + x4 + 16384 * x2 + 524288 * x3),
        tmp10, other=0.0)
    tmp12 = tl.load(in_ptr1 + x0, tmp10, eviction_policy='evict_last',
        other=0.0)
    tmp13 = tmp11 + tmp12
    tmp14 = tl.full([1], 0, tl.int32)
    tmp15 = triton_helpers.maximum(tmp14, tmp13)
    tmp16 = tl.full(tmp15.shape, 0.0, tmp15.dtype)
    tmp17 = tl.where(tmp10, tmp15, tmp16)
    tl.store(out_ptr0 + x6, tmp17, None)


@triton.jit
def triton_poi_fused_convolution_relu_12(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_13(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 % 16
    x2 = xindex // 8192
    x3 = xindex
    tmp0 = tl.load(in_ptr0 + (x0 + 1024 * x1 + 32768 * x2), None)
    tmp1 = tl.load(in_ptr0 + (512 + x0 + 1024 * x1 + 32768 * x2), None)
    tmp7 = tl.load(in_ptr0 + (16384 + x0 + 1024 * x1 + 32768 * x2), None)
    tmp12 = tl.load(in_ptr0 + (16896 + x0 + 1024 * x1 + 32768 * 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_constant_pad_nd_max_pool2d_with_indices_14(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)
    x2 = xindex // 9216 % 18
    x1 = xindex // 512 % 18
    x0 = xindex % 512
    x3 = xindex // 165888
    x6 = xindex
    tmp0 = -1 + x2
    tmp1 = tl.full([1], 0, tl.int64)
    tmp2 = tmp0 >= tmp1
    tmp3 = tl.full([1], 16, tl.int64)
    tmp4 = tmp0 < tmp3
    tmp5 = -1 + x1
    tmp6 = tmp5 >= tmp1
    tmp7 = tmp5 < tmp3
    tmp8 = tmp2 & tmp4
    tmp9 = tmp8 & tmp6
    tmp10 = tmp9 & tmp7
    tmp11 = tl.load(in_ptr0 + (-33792 + x0 + 1024 * x1 + 32768 * x2 + 
        524288 * x3), tmp10, other=0.0)
    tmp12 = tl.load(in_ptr0 + (-33280 + x0 + 1024 * x1 + 32768 * x2 + 
        524288 * x3), tmp10, other=0.0)
    tmp13 = triton_helpers.maximum(tmp12, tmp11)
    tmp14 = tl.load(in_ptr0 + (-17408 + x0 + 1024 * x1 + 32768 * x2 + 
        524288 * x3), tmp10, other=0.0)
    tmp15 = triton_helpers.maximum(tmp14, tmp13)
    tmp16 = tl.load(in_ptr0 + (-16896 + x0 + 1024 * x1 + 32768 * x2 + 
        524288 * x3), tmp10, other=0.0)
    tmp17 = triton_helpers.maximum(tmp16, tmp15)
    tmp18 = tl.full(tmp17.shape, 0.0, tmp17.dtype)
    tmp19 = tl.where(tmp10, tmp17, tmp18)
    tl.store(out_ptr0 + x6, tmp19, None)


@triton.jit
def triton_poi_fused_convolution_relu_threshold_backward_15(in_ptr0,
    in_ptr1, out_ptr0, out_ptr1, ynumel, xnumel, YBLOCK: tl.constexpr,
    XBLOCK: tl.constexpr):
    xnumel = 256
    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 % 1024
    y1 = yindex // 1024
    y3 = yindex
    tmp0 = tl.load(in_ptr0 + (y0 + 1024 * x2 + 262144 * 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 + 256 * y3), tmp4, xmask)
    tl.store(out_ptr1 + (y0 + 1024 * x2 + 262144 * y1), tmp6, xmask)


@triton.jit
def triton_poi_fused_convolution_relu_threshold_backward_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)
    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_17(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 % 32
    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) = args
    args.clear()
    assert_size_stride(primals_1, (4, 3, 64, 64), (12288, 4096, 64, 1))
    assert_size_stride(primals_2, (3, 3, 1, 1), (3, 1, 1, 1))
    assert_size_stride(primals_3, (3,), (1,))
    assert_size_stride(primals_4, (32, 3, 3, 3), (27, 9, 3, 1))
    assert_size_stride(primals_5, (32,), (1,))
    assert_size_stride(primals_6, (256, 32, 3, 3), (288, 9, 3, 1))
    assert_size_stride(primals_7, (256,), (1,))
    assert_size_stride(primals_8, (512, 256, 3, 3), (2304, 9, 3, 1))
    assert_size_stride(primals_9, (512,), (1,))
    assert_size_stride(primals_10, (512, 512, 3, 3), (4608, 9, 3, 1))
    assert_size_stride(primals_11, (512,), (1,))
    assert_size_stride(primals_12, (1024, 512, 3, 3), (4608, 9, 3, 1))
    assert_size_stride(primals_13, (1024,), (1,))
    with torch.cuda._DeviceGuard(0):
        torch.cuda.set_device(0)
        buf0 = empty_strided_cuda((32, 3, 3, 3), (27, 1, 9, 3), torch.float32)
        get_raw_stream(0)
        triton_poi_fused_0[grid(96, 9)](primals_4, buf0, 96, 9, XBLOCK=16,
            YBLOCK=64, num_warps=4, num_stages=1)
        del primals_4
        buf1 = empty_strided_cuda((256, 32, 3, 3), (288, 1, 96, 32), torch.
            float32)
        triton_poi_fused_1[grid(8192, 9)](primals_6, buf1, 8192, 9, XBLOCK=
            16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_6
        buf2 = empty_strided_cuda((512, 256, 3, 3), (2304, 1, 768, 256),
            torch.float32)
        triton_poi_fused_2[grid(131072, 9)](primals_8, buf2, 131072, 9,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_8
        buf3 = empty_strided_cuda((512, 512, 3, 3), (4608, 1, 1536, 512),
            torch.float32)
        triton_poi_fused_3[grid(262144, 9)](primals_10, buf3, 262144, 9,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_10
        buf4 = empty_strided_cuda((1024, 512, 3, 3), (4608, 1, 1536, 512),
            torch.float32)
        triton_poi_fused_4[grid(524288, 9)](primals_12, buf4, 524288, 9,
            XBLOCK=16, YBLOCK=64, num_warps=4, num_stages=1)
        del primals_12
        buf5 = empty_strided_cuda((4, 3, 64, 64), (12288, 1, 192, 3), torch
            .float32)
        triton_poi_fused_div_5[grid(12, 4096)](primals_1, buf5, 12, 4096,
            XBLOCK=64, YBLOCK=16, num_warps=4, num_stages=1)
        del primals_1
        buf6 = extern_kernels.convolution(buf5, primals_2, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf6, (4, 3, 64, 64), (12288, 1, 192, 3))
        buf7 = empty_strided_cuda((4, 3, 66, 66), (13068, 1, 198, 3), torch
            .float32)
        triton_poi_fused_constant_pad_nd_convolution_6[grid(52272)](buf6,
            primals_3, buf7, 52272, XBLOCK=512, num_warps=4, num_stages=1)
        del buf6
        del primals_3
        buf8 = extern_kernels.convolution(buf7, buf0, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf8, (4, 32, 64, 64), (131072, 1, 2048, 32))
        buf9 = empty_strided_cuda((4, 32, 66, 66), (139392, 1, 2112, 32),
            torch.float32)
        triton_poi_fused_constant_pad_nd_convolution_relu_7[grid(557568)](buf8,
            primals_5, buf9, 557568, XBLOCK=512, num_warps=8, num_stages=1)
        buf10 = extern_kernels.convolution(buf9, buf1, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf10, (4, 256, 64, 64), (1048576, 1, 16384, 256))
        buf11 = buf10
        del buf10
        triton_poi_fused_convolution_relu_8[grid(4194304)](buf11, primals_7,
            4194304, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_7
        buf12 = empty_strided_cuda((4, 256, 32, 32), (262144, 1, 8192, 256),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_9[grid(1048576)](buf11,
            buf12, 1048576, XBLOCK=512, num_warps=8, num_stages=1)
        buf13 = empty_strided_cuda((4, 256, 34, 34), (295936, 1, 8704, 256),
            torch.float32)
        triton_poi_fused_constant_pad_nd_max_pool2d_with_indices_10[grid(
            1183744)](buf11, buf13, 1183744, XBLOCK=1024, num_warps=4,
            num_stages=1)
        buf14 = extern_kernels.convolution(buf13, buf2, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf14, (4, 512, 32, 32), (524288, 1, 16384, 512))
        buf15 = empty_strided_cuda((4, 512, 34, 34), (591872, 1, 17408, 512
            ), torch.float32)
        triton_poi_fused_constant_pad_nd_convolution_relu_11[grid(2367488)](
            buf14, primals_9, buf15, 2367488, XBLOCK=1024, num_warps=4,
            num_stages=1)
        buf16 = extern_kernels.convolution(buf15, buf3, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf16, (4, 512, 32, 32), (524288, 1, 16384, 512))
        buf17 = buf16
        del buf16
        triton_poi_fused_convolution_relu_12[grid(2097152)](buf17,
            primals_11, 2097152, XBLOCK=512, num_warps=8, num_stages=1)
        del primals_11
        buf18 = empty_strided_cuda((4, 512, 16, 16), (131072, 1, 8192, 512),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_13[grid(524288)](buf17,
            buf18, 524288, XBLOCK=512, num_warps=8, num_stages=1)
        buf19 = empty_strided_cuda((4, 512, 18, 18), (165888, 1, 9216, 512),
            torch.float32)
        triton_poi_fused_constant_pad_nd_max_pool2d_with_indices_14[grid(
            663552)](buf17, buf19, 663552, XBLOCK=1024, num_warps=4,
            num_stages=1)
        buf20 = extern_kernels.convolution(buf19, buf4, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf20, (4, 1024, 16, 16), (262144, 1, 16384, 1024))
        buf21 = empty_strided_cuda((4, 1024, 16, 16), (262144, 256, 16, 1),
            torch.float32)
        buf22 = empty_strided_cuda((4, 1024, 16, 16), (262144, 1, 16384, 
            1024), torch.bool)
        triton_poi_fused_convolution_relu_threshold_backward_15[grid(4096, 256)
            ](buf20, primals_13, buf21, buf22, 4096, 256, XBLOCK=32, YBLOCK
            =32, num_warps=4, num_stages=1)
        del buf20
        del primals_13
        buf23 = empty_strided_cuda((4, 512, 32, 32), (524288, 1, 16384, 512
            ), torch.bool)
        triton_poi_fused_convolution_relu_threshold_backward_16[grid(2097152)](
            buf14, primals_9, buf23, 2097152, XBLOCK=512, num_warps=8,
            num_stages=1)
        del buf14
        del primals_9
        buf24 = empty_strided_cuda((4, 32, 64, 64), (131072, 1, 2048, 32),
            torch.bool)
        triton_poi_fused_convolution_relu_threshold_backward_17[grid(524288)](
            buf8, primals_5, buf24, 524288, XBLOCK=1024, num_warps=4,
            num_stages=1)
        del buf8
        del primals_5
    return (buf21, primals_2, buf0, buf1, buf2, buf3, buf4, buf5, buf7,
        buf9, buf11, buf12, buf13, buf15, buf17, buf18, buf19, buf22, buf23,
        buf24)


class encoder3New(nn.Module):

    def __init__(self, W, v2):
        super(encoder3New, self).__init__()
        self.conv1 = nn.Conv2d(3, 3, 1, 1, 0)
        self.reflecPad1 = nn.ZeroPad2d((1, 1, 1, 1))
        self.conv2 = nn.Conv2d(3, 32 if v2 else int(64 * W), 3, 1, 0)
        self.relu2 = nn.ReLU(inplace=True)
        self.reflecPad3 = nn.ZeroPad2d((1, 1, 1, 1))
        self.conv3 = nn.Conv2d(32 if v2 else int(64 * W), int(64 * W), 3, 1, 0)
        self.relu3 = nn.ReLU(inplace=True)
        self.maxPool = nn.MaxPool2d(kernel_size=2, stride=2, return_indices
            =False)
        self.reflecPad4 = nn.ZeroPad2d((1, 1, 1, 1))
        self.conv4 = nn.Conv2d(int(64 * W), int(128 * W), 3, 1, 0)
        self.relu4 = nn.ReLU(inplace=True)
        self.reflecPad5 = nn.ZeroPad2d((1, 1, 1, 1))
        self.conv5 = nn.Conv2d(int(128 * W), int(128 * W), 3, 1, 0)
        self.relu5 = nn.ReLU(inplace=True)
        self.maxPool2 = nn.MaxPool2d(kernel_size=2, stride=2,
            return_indices=False)
        self.reflecPad6 = nn.ZeroPad2d((1, 1, 1, 1))
        self.conv6 = nn.Conv2d(int(128 * W), int(256 * W), 3, 1, 0)
        self.relu6 = nn.ReLU(inplace=True)

    def forward(self, input_0):
        primals_2 = self.conv1.weight
        primals_3 = self.conv1.bias
        primals_4 = self.conv2.weight
        primals_5 = self.conv2.bias
        primals_6 = self.conv3.weight
        primals_7 = self.conv3.bias
        primals_8 = self.conv4.weight
        primals_9 = self.conv4.bias
        primals_10 = self.conv5.weight
        primals_11 = self.conv5.bias
        primals_12 = self.conv6.weight
        primals_13 = self.conv6.bias
        primals_1 = input_0
        output = call([primals_1, primals_2, primals_3, primals_4,
            primals_5, primals_6, primals_7, primals_8, primals_9,
            primals_10, primals_11, primals_12, primals_13])
        return output[0]


Measured latency_ms: 0.405486