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.functional
import torch.nn as nn
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


@triton.jit
def triton_poi_fused_convolution_relu_0(in_out_ptr0, in_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x3 = xindex
    x1 = xindex // 4096 % 64
    tmp0 = tl.load(in_out_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr0 + x1, 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 + x3, tmp4, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_1(in_ptr0, 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)
    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 = triton_helpers.maximum(tmp1, tmp0)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tmp6 = triton_helpers.maximum(tmp5, tmp4)
    tmp7 = tmp1 > tmp0
    tmp8 = tl.full([1], 1, tl.int8)
    tmp9 = tl.full([1], 0, tl.int8)
    tmp10 = tl.where(tmp7, tmp8, tmp9)
    tmp11 = tmp3 > tmp2
    tmp12 = tl.full([1], 2, tl.int8)
    tmp13 = tl.where(tmp11, tmp12, tmp10)
    tmp14 = tmp5 > tmp4
    tmp15 = tl.full([1], 3, tl.int8)
    tmp16 = tl.where(tmp14, tmp15, tmp13)
    tl.store(out_ptr0 + x2, tmp6, None)
    tl.store(out_ptr1 + x2, tmp16, None)


@triton.jit
def triton_poi_fused_convolution_relu_2(in_out_ptr0, in_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x3 = xindex
    x1 = xindex // 1024 % 128
    tmp0 = tl.load(in_out_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr0 + x1, 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 + x3, tmp4, None)


@triton.jit
def triton_poi_fused_max_pool2d_with_indices_3(in_ptr0, 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)
    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 = triton_helpers.maximum(tmp1, tmp0)
    tmp4 = triton_helpers.maximum(tmp3, tmp2)
    tmp6 = triton_helpers.maximum(tmp5, tmp4)
    tmp7 = tmp1 > tmp0
    tmp8 = tl.full([1], 1, tl.int8)
    tmp9 = tl.full([1], 0, tl.int8)
    tmp10 = tl.where(tmp7, tmp8, tmp9)
    tmp11 = tmp3 > tmp2
    tmp12 = tl.full([1], 2, tl.int8)
    tmp13 = tl.where(tmp11, tmp12, tmp10)
    tmp14 = tmp5 > tmp4
    tmp15 = tl.full([1], 3, tl.int8)
    tmp16 = tl.where(tmp14, tmp15, tmp13)
    tl.store(out_ptr0 + x2, tmp6, None)
    tl.store(out_ptr1 + x2, tmp16, None)


@triton.jit
def triton_poi_fused_convolution_relu_4(in_out_ptr0, in_ptr0, xnumel,
    XBLOCK: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    tl.full([XBLOCK], True, tl.int1)
    x3 = xindex
    x1 = xindex // 256 % 256
    tmp0 = tl.load(in_out_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr0 + x1, 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 + x3, tmp4, None)


@triton.jit
def triton_poi_fused__to_copy_5(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_6(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_7(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_mul_relu_sub_8(in_ptr0,
    in_ptr1, in_ptr2, in_ptr3, in_ptr4, in_ptr5, in_ptr6, in_ptr7, 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)
    x1 = xindex // 32 % 32
    x0 = xindex % 32
    x5 = xindex // 1024
    x2 = xindex // 1024 % 256
    x6 = xindex
    tmp0 = tl.load(in_ptr0 + x1, None, eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr1 + x0, None, eviction_policy='evict_last')
    tmp10 = tl.load(in_ptr3 + x2, None, eviction_policy='evict_last')
    tmp14 = tl.load(in_ptr4 + x0, None, eviction_policy='evict_last')
    tmp22 = tl.load(in_ptr5 + x0, None, eviction_policy='evict_last')
    tmp25 = tl.load(in_ptr6 + x1, None, eviction_policy='evict_last')
    tmp39 = tl.load(in_ptr7 + 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 * x5), None,
        eviction_policy='evict_last')
    tmp11 = tmp9 + tmp10
    tmp12 = tl.full([1], 0, tl.int32)
    tmp13 = triton_helpers.maximum(tmp12, tmp11)
    tmp15 = tmp14 + tmp1
    tmp16 = tmp14 < 0
    tmp17 = tl.where(tmp16, tmp15, tmp14)
    tmp18 = tl.load(in_ptr2 + (tmp17 + 16 * tmp4 + 256 * x5), None,
        eviction_policy='evict_last')
    tmp19 = tmp18 + tmp10
    tmp20 = triton_helpers.maximum(tmp12, tmp19)
    tmp21 = tmp20 - tmp13
    tmp23 = tmp21 * tmp22
    tmp24 = tmp13 + tmp23
    tmp26 = tmp25 + tmp1
    tmp27 = tmp25 < 0
    tmp28 = tl.where(tmp27, tmp26, tmp25)
    tmp29 = tl.load(in_ptr2 + (tmp8 + 16 * tmp28 + 256 * x5), None,
        eviction_policy='evict_last')
    tmp30 = tmp29 + tmp10
    tmp31 = triton_helpers.maximum(tmp12, tmp30)
    tmp32 = tl.load(in_ptr2 + (tmp17 + 16 * tmp28 + 256 * x5), None,
        eviction_policy='evict_last')
    tmp33 = tmp32 + tmp10
    tmp34 = triton_helpers.maximum(tmp12, tmp33)
    tmp35 = tmp34 - tmp31
    tmp36 = tmp35 * tmp22
    tmp37 = tmp31 + tmp36
    tmp38 = tmp37 - tmp24
    tmp40 = tmp38 * tmp39
    tl.store(out_ptr0 + x6, tmp24, None)
    tl.store(out_ptr1 + x6, tmp40, None)


@triton.jit
def triton_poi_fused_cat_9(in_ptr0, in_ptr1, in_ptr2, 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 % 384
    x0 = xindex % 1024
    x2 = xindex // 393216
    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 + 1024 * x1 + 131072 * x2), tmp4, other=0.0)
    tmp6 = tmp0 >= tmp3
    tl.full([1], 384, tl.int64)
    tmp9 = tl.load(in_ptr1 + (x0 + 1024 * (-128 + x1) + 262144 * x2), tmp6,
        other=0.0)
    tmp10 = tl.load(in_ptr2 + (x0 + 1024 * (-128 + x1) + 262144 * x2), tmp6,
        other=0.0)
    tmp11 = tmp9 + tmp10
    tmp12 = tl.full(tmp11.shape, 0.0, tmp11.dtype)
    tmp13 = tl.where(tmp6, tmp11, tmp12)
    tmp14 = tl.where(tmp4, tmp5, tmp13)
    tl.store(out_ptr0 + x3, tmp14, None)


@triton.jit
def triton_poi_fused__to_copy_10(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_11(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_12(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_mul_relu_sub_13(in_ptr0,
    in_ptr1, in_ptr2, in_ptr3, in_ptr4, in_ptr5, in_ptr6, in_ptr7, 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)
    x1 = xindex // 64 % 64
    x0 = xindex % 64
    x5 = xindex // 4096
    x2 = xindex // 4096 % 128
    x6 = xindex
    tmp0 = tl.load(in_ptr0 + x1, None, eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr1 + x0, None, eviction_policy='evict_last')
    tmp10 = tl.load(in_ptr3 + x2, None, eviction_policy='evict_last')
    tmp14 = tl.load(in_ptr4 + x0, None, eviction_policy='evict_last')
    tmp22 = tl.load(in_ptr5 + x0, None, eviction_policy='evict_last')
    tmp25 = tl.load(in_ptr6 + x1, None, eviction_policy='evict_last')
    tmp39 = tl.load(in_ptr7 + 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 * x5), None,
        eviction_policy='evict_last')
    tmp11 = tmp9 + tmp10
    tmp12 = tl.full([1], 0, tl.int32)
    tmp13 = triton_helpers.maximum(tmp12, tmp11)
    tmp15 = tmp14 + tmp1
    tmp16 = tmp14 < 0
    tmp17 = tl.where(tmp16, tmp15, tmp14)
    tmp18 = tl.load(in_ptr2 + (tmp17 + 32 * tmp4 + 1024 * x5), None,
        eviction_policy='evict_last')
    tmp19 = tmp18 + tmp10
    tmp20 = triton_helpers.maximum(tmp12, tmp19)
    tmp21 = tmp20 - tmp13
    tmp23 = tmp21 * tmp22
    tmp24 = tmp13 + tmp23
    tmp26 = tmp25 + tmp1
    tmp27 = tmp25 < 0
    tmp28 = tl.where(tmp27, tmp26, tmp25)
    tmp29 = tl.load(in_ptr2 + (tmp8 + 32 * tmp28 + 1024 * x5), None,
        eviction_policy='evict_last')
    tmp30 = tmp29 + tmp10
    tmp31 = triton_helpers.maximum(tmp12, tmp30)
    tmp32 = tl.load(in_ptr2 + (tmp17 + 32 * tmp28 + 1024 * x5), None,
        eviction_policy='evict_last')
    tmp33 = tmp32 + tmp10
    tmp34 = triton_helpers.maximum(tmp12, tmp33)
    tmp35 = tmp34 - tmp31
    tmp36 = tmp35 * tmp22
    tmp37 = tmp31 + tmp36
    tmp38 = tmp37 - tmp24
    tmp40 = tmp38 * tmp39
    tl.store(out_ptr0 + x6, tmp24, None)
    tl.store(out_ptr1 + x6, tmp40, None)


@triton.jit
def triton_poi_fused_cat_14(in_ptr0, in_ptr1, in_ptr2, 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 % 192
    x0 = xindex % 4096
    x2 = xindex // 786432
    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 + 4096 * x1 + 262144 * x2), tmp4, other=0.0)
    tmp6 = tmp0 >= tmp3
    tl.full([1], 192, tl.int64)
    tmp9 = tl.load(in_ptr1 + (x0 + 4096 * (-64 + x1) + 524288 * x2), tmp6,
        other=0.0)
    tmp10 = tl.load(in_ptr2 + (x0 + 4096 * (-64 + x1) + 524288 * x2), tmp6,
        other=0.0)
    tmp11 = tmp9 + tmp10
    tmp12 = tl.full(tmp11.shape, 0.0, tmp11.dtype)
    tmp13 = tl.where(tmp6, tmp11, tmp12)
    tmp14 = tl.where(tmp4, tmp5, tmp13)
    tl.store(out_ptr0 + x3, tmp14, None)


@triton.jit
def triton_poi_fused_convolution_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)
    x0 = xindex
    tmp0 = tl.load(in_out_ptr0 + x0, None)
    tmp1 = tl.load(in_ptr0 + 0)
    tmp2 = tl.broadcast_to(tmp1, [XBLOCK])
    tmp3 = tmp0 + tmp2
    tl.store(in_out_ptr0 + x0, tmp3, None)


@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)
    x3 = xindex
    x1 = xindex // 1024 % 128
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + x1, 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 + x3, 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)
    x3 = xindex
    x1 = xindex // 256 % 256
    tmp0 = tl.load(in_ptr0 + x3, None)
    tmp1 = tl.load(in_ptr1 + x1, 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 + x3, 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
        ) = args
    args.clear()
    assert_size_stride(primals_1, (64, 3, 3, 3), (27, 9, 3, 1))
    assert_size_stride(primals_2, (64,), (1,))
    assert_size_stride(primals_3, (4, 3, 64, 64), (12288, 4096, 64, 1))
    assert_size_stride(primals_4, (64, 64, 3, 3), (576, 9, 3, 1))
    assert_size_stride(primals_5, (64,), (1,))
    assert_size_stride(primals_6, (128, 64, 3, 3), (576, 9, 3, 1))
    assert_size_stride(primals_7, (128,), (1,))
    assert_size_stride(primals_8, (128, 128, 3, 3), (1152, 9, 3, 1))
    assert_size_stride(primals_9, (128,), (1,))
    assert_size_stride(primals_10, (256, 128, 3, 3), (1152, 9, 3, 1))
    assert_size_stride(primals_11, (256,), (1,))
    assert_size_stride(primals_12, (256, 256, 3, 3), (2304, 9, 3, 1))
    assert_size_stride(primals_13, (256,), (1,))
    assert_size_stride(primals_14, (128, 384, 3, 3), (3456, 9, 3, 1))
    assert_size_stride(primals_15, (128,), (1,))
    assert_size_stride(primals_16, (128, 128, 3, 3), (1152, 9, 3, 1))
    assert_size_stride(primals_17, (128,), (1,))
    assert_size_stride(primals_18, (64, 192, 3, 3), (1728, 9, 3, 1))
    assert_size_stride(primals_19, (64,), (1,))
    assert_size_stride(primals_20, (64, 64, 3, 3), (576, 9, 3, 1))
    assert_size_stride(primals_21, (64,), (1,))
    assert_size_stride(primals_22, (1, 64, 1, 1), (64, 1, 1, 1))
    assert_size_stride(primals_23, (1,), (1,))
    with torch.cuda._DeviceGuard(0):
        torch.cuda.set_device(0)
        buf0 = extern_kernels.convolution(primals_3, primals_1, stride=(1, 
            1), padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf0, (4, 64, 64, 64), (262144, 4096, 64, 1))
        buf1 = buf0
        del buf0
        get_raw_stream(0)
        triton_poi_fused_convolution_relu_0[grid(1048576)](buf1, primals_2,
            1048576, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_2
        buf2 = extern_kernels.convolution(buf1, primals_4, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf2, (4, 64, 64, 64), (262144, 4096, 64, 1))
        buf3 = buf2
        del buf2
        triton_poi_fused_convolution_relu_0[grid(1048576)](buf3, primals_5,
            1048576, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_5
        buf4 = empty_strided_cuda((4, 64, 32, 32), (65536, 1024, 32, 1),
            torch.float32)
        buf5 = empty_strided_cuda((4, 64, 32, 32), (65536, 1024, 32, 1),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_1[grid(262144)](buf3, buf4,
            buf5, 262144, XBLOCK=512, num_warps=8, num_stages=1)
        buf6 = extern_kernels.convolution(buf4, primals_6, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf6, (4, 128, 32, 32), (131072, 1024, 32, 1))
        buf7 = buf6
        del buf6
        triton_poi_fused_convolution_relu_2[grid(524288)](buf7, primals_7, 
            524288, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_7
        buf8 = extern_kernels.convolution(buf7, primals_8, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf8, (4, 128, 32, 32), (131072, 1024, 32, 1))
        buf9 = buf8
        del buf8
        triton_poi_fused_convolution_relu_2[grid(524288)](buf9, primals_9, 
            524288, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_9
        buf10 = empty_strided_cuda((4, 128, 16, 16), (32768, 256, 16, 1),
            torch.float32)
        buf11 = empty_strided_cuda((4, 128, 16, 16), (32768, 256, 16, 1),
            torch.int8)
        triton_poi_fused_max_pool2d_with_indices_3[grid(131072)](buf9,
            buf10, buf11, 131072, XBLOCK=512, num_warps=8, num_stages=1)
        buf12 = extern_kernels.convolution(buf10, primals_10, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf12, (4, 256, 16, 16), (65536, 256, 16, 1))
        buf13 = buf12
        del buf12
        triton_poi_fused_convolution_relu_4[grid(262144)](buf13, primals_11,
            262144, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_11
        buf14 = extern_kernels.convolution(buf13, primals_12, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf14, (4, 256, 16, 16), (65536, 256, 16, 1))
        buf15 = empty_strided_cuda((32, 1), (1, 1), torch.int64)
        triton_poi_fused__to_copy_5[grid(32)](buf15, 32, XBLOCK=32,
            num_warps=1, num_stages=1)
        buf16 = empty_strided_cuda((32, 1), (1, 1), torch.int64)
        triton_poi_fused_add_clamp_6[grid(32)](buf16, 32, XBLOCK=32,
            num_warps=1, num_stages=1)
        buf17 = empty_strided_cuda((32,), (1,), torch.int64)
        triton_poi_fused__to_copy_5[grid(32)](buf17, 32, XBLOCK=32,
            num_warps=1, num_stages=1)
        buf18 = empty_strided_cuda((32,), (1,), torch.int64)
        triton_poi_fused_add_clamp_6[grid(32)](buf18, 32, XBLOCK=32,
            num_warps=1, num_stages=1)
        buf19 = empty_strided_cuda((32,), (1,), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_7[grid(32)](buf19,
            32, XBLOCK=32, num_warps=1, num_stages=1)
        buf21 = empty_strided_cuda((32, 1), (1, 1), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_7[grid(32)](buf21,
            32, XBLOCK=32, num_warps=1, num_stages=1)
        buf20 = empty_strided_cuda((4, 256, 32, 32), (262144, 1024, 32, 1),
            torch.float32)
        buf22 = empty_strided_cuda((4, 256, 32, 32), (262144, 1024, 32, 1),
            torch.float32)
        triton_poi_fused__unsafe_index_add_convolution_mul_relu_sub_8[grid(
            1048576)](buf15, buf17, buf14, primals_13, buf18, buf19, buf16,
            buf21, buf20, buf22, 1048576, XBLOCK=512, num_warps=8, num_stages=1
            )
        buf23 = empty_strided_cuda((4, 384, 32, 32), (393216, 1024, 32, 1),
            torch.float32)
        triton_poi_fused_cat_9[grid(1572864)](buf9, buf20, buf22, buf23, 
            1572864, XBLOCK=1024, num_warps=4, num_stages=1)
        del buf20
        del buf22
        buf24 = extern_kernels.convolution(buf23, primals_14, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf24, (4, 128, 32, 32), (131072, 1024, 32, 1))
        buf25 = buf24
        del buf24
        triton_poi_fused_convolution_relu_2[grid(524288)](buf25, primals_15,
            524288, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_15
        buf26 = extern_kernels.convolution(buf25, primals_16, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf26, (4, 128, 32, 32), (131072, 1024, 32, 1))
        buf27 = empty_strided_cuda((64, 1), (1, 1), torch.int64)
        triton_poi_fused__to_copy_10[grid(64)](buf27, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf28 = empty_strided_cuda((64, 1), (1, 1), torch.int64)
        triton_poi_fused_add_clamp_11[grid(64)](buf28, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf29 = empty_strided_cuda((64,), (1,), torch.int64)
        triton_poi_fused__to_copy_10[grid(64)](buf29, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf30 = empty_strided_cuda((64,), (1,), torch.int64)
        triton_poi_fused_add_clamp_11[grid(64)](buf30, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf31 = empty_strided_cuda((64,), (1,), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_12[grid(64)](buf31,
            64, XBLOCK=64, num_warps=1, num_stages=1)
        buf33 = empty_strided_cuda((64, 1), (1, 1), torch.float32)
        triton_poi_fused__to_copy_add_arange_clamp_mul_sub_12[grid(64)](buf33,
            64, XBLOCK=64, num_warps=1, num_stages=1)
        buf32 = empty_strided_cuda((4, 128, 64, 64), (524288, 4096, 64, 1),
            torch.float32)
        buf34 = empty_strided_cuda((4, 128, 64, 64), (524288, 4096, 64, 1),
            torch.float32)
        triton_poi_fused__unsafe_index_add_convolution_mul_relu_sub_13[grid
            (2097152)](buf27, buf29, buf26, primals_17, buf30, buf31, buf28,
            buf33, buf32, buf34, 2097152, XBLOCK=512, num_warps=8, num_stages=1
            )
        buf35 = empty_strided_cuda((4, 192, 64, 64), (786432, 4096, 64, 1),
            torch.float32)
        triton_poi_fused_cat_14[grid(3145728)](buf3, buf32, buf34, buf35, 
            3145728, XBLOCK=1024, num_warps=4, num_stages=1)
        del buf32
        del buf34
        buf36 = extern_kernels.convolution(buf35, primals_18, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf36, (4, 64, 64, 64), (262144, 4096, 64, 1))
        buf37 = buf36
        del buf36
        triton_poi_fused_convolution_relu_0[grid(1048576)](buf37,
            primals_19, 1048576, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_19
        buf38 = extern_kernels.convolution(buf37, primals_20, stride=(1, 1),
            padding=(1, 1), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf38, (4, 64, 64, 64), (262144, 4096, 64, 1))
        buf39 = buf38
        del buf38
        triton_poi_fused_convolution_relu_0[grid(1048576)](buf39,
            primals_21, 1048576, XBLOCK=1024, num_warps=4, num_stages=1)
        del primals_21
        buf40 = extern_kernels.convolution(buf39, primals_22, stride=(1, 1),
            padding=(0, 0), dilation=(1, 1), transposed=False,
            output_padding=(0, 0), groups=1, bias=None)
        assert_size_stride(buf40, (4, 1, 64, 64), (4096, 4096, 64, 1))
        buf41 = buf40
        del buf40
        triton_poi_fused_convolution_15[grid(16384)](buf41, primals_23, 
            16384, XBLOCK=256, num_warps=4, num_stages=1)
        del primals_23
        buf42 = empty_strided_cuda((4, 128, 32, 32), (131072, 1024, 32, 1),
            torch.bool)
        triton_poi_fused_convolution_relu_threshold_backward_16[grid(524288)](
            buf26, primals_17, buf42, 524288, XBLOCK=512, num_warps=8,
            num_stages=1)
        del buf26
        del primals_17
        buf43 = empty_strided_cuda((4, 256, 16, 16), (65536, 256, 16, 1),
            torch.bool)
        triton_poi_fused_convolution_relu_threshold_backward_17[grid(262144)](
            buf14, primals_13, buf43, 262144, XBLOCK=512, num_warps=8,
            num_stages=1)
        del buf14
        del primals_13
    return (buf41, primals_1, primals_3, primals_4, primals_6, primals_8,
        primals_10, primals_12, primals_14, primals_16, primals_18,
        primals_20, primals_22, buf1, buf3, buf4, buf5, buf7, buf9, buf10,
        buf11, buf13, buf15, buf16, buf17, buf18, buf19, buf21, buf23,
        buf25, buf27, buf28, buf29, buf30, buf31, buf33, buf35, buf37,
        buf39, buf42, buf43)


def conv3x3(in_, out):
    return nn.Conv2d(in_, out, 3, padding=1)


class ConvRelu(nn.Module):

    def __init__(self, in_, out):
        super().__init__()
        self.conv = conv3x3(in_, out)
        self.activation = nn.ReLU(inplace=True)

    def forward(self, x):
        x = self.conv(x)
        x = self.activation(x)
        return x


class ConvRelu2(nn.Module):

    def __init__(self, _in, _out):
        super(ConvRelu2, self).__init__()
        self.cr1 = ConvRelu(_in, _out)
        self.cr2 = ConvRelu(_out, _out)

    def forward(self, x):
        x = self.cr1(x)
        x = self.cr2(x)
        return x


class Coder(nn.Module):

    def __init__(self, in_size, out_size):
        super(Coder, self).__init__()
        self.conv = ConvRelu2(in_size, out_size)
        self.down = nn.MaxPool2d(2, 2)

    def forward(self, x):
        y1 = self.conv(x)
        y2 = self.down(y1)
        return y2, y1


class Decoder(nn.Module):

    def __init__(self, in_size, out_size):
        super(Decoder, self).__init__()
        self.conv = ConvRelu2(in_size, out_size)
        self.up = F.interpolate

    def forward(self, x1, x2):
        x2 = self.up(x2, scale_factor=2, mode='bilinear', align_corners=False)
        return self.conv(torch.cat([x1, x2], 1))


class AttentionNetNew(nn.Module):

    def __init__(self, in_channels=3, out_channels=1):
        super(AttentionNetNew, self).__init__()
        self.in_channels = in_channels
        self.out_channels = out_channels
        filters = [64, 128, 256]
        self.down1 = Coder(in_channels, filters[0])
        self.down2 = Coder(filters[0], filters[1])
        self.center = ConvRelu2(filters[1], filters[2])
        self.up2 = Decoder(filters[2] + filters[1], filters[1])
        self.up1 = Decoder(filters[1] + filters[0], filters[0])
        self.final = nn.Conv2d(filters[0], out_channels, 1)

    def forward(self, input_0):
        primals_1 = self.down1.conv.cr1.conv.weight
        primals_2 = self.down1.conv.cr1.conv.bias
        primals_4 = self.down1.conv.cr2.conv.weight
        primals_5 = self.down1.conv.cr2.conv.bias
        primals_6 = self.down2.conv.cr1.conv.weight
        primals_7 = self.down2.conv.cr1.conv.bias
        primals_8 = self.down2.conv.cr2.conv.weight
        primals_9 = self.down2.conv.cr2.conv.bias
        primals_10 = self.center.cr1.conv.weight
        primals_11 = self.center.cr1.conv.bias
        primals_12 = self.center.cr2.conv.weight
        primals_13 = self.center.cr2.conv.bias
        primals_14 = self.up2.conv.cr1.conv.weight
        primals_15 = self.up2.conv.cr1.conv.bias
        primals_16 = self.up2.conv.cr2.conv.weight
        primals_17 = self.up2.conv.cr2.conv.bias
        primals_18 = self.up1.conv.cr1.conv.weight
        primals_19 = self.up1.conv.cr1.conv.bias
        primals_20 = self.up1.conv.cr2.conv.weight
        primals_21 = self.up1.conv.cr2.conv.bias
        primals_22 = self.final.weight
        primals_23 = self.final.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])
        return output[0]


Measured latency_ms: 0.043651