import torch
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 libdevice, math as tl_math
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
reinterpret_tensor = torch._C._dynamo.guards._reinterpret_tensor


@triton.jit
def triton_poi_fused__softmax_0(in_ptr0, out_ptr0, xnumel, XBLOCK: tl.constexpr
    ):
    xnumel = 16
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex
    x1 = xindex // 4
    tmp0 = tl.load(in_ptr0 + x2, xmask)
    tmp1 = tl.load(in_ptr0 + 4 * x1, xmask, eviction_policy='evict_last')
    tmp2 = tl.load(in_ptr0 + (1 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp4 = tl.load(in_ptr0 + (2 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp6 = tl.load(in_ptr0 + (3 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp3 = triton_helpers.maximum(tmp1, tmp2)
    tmp5 = triton_helpers.maximum(tmp3, tmp4)
    tmp7 = triton_helpers.maximum(tmp5, tmp6)
    tmp8 = tmp0 - tmp7
    tmp9 = tl_math.exp(tmp8)
    tl.store(out_ptr0 + x2, tmp9, xmask)


@triton.jit
def triton_poi_fused__softmax_1(in_ptr0, out_ptr0, xnumel, XBLOCK: tl.constexpr
    ):
    xnumel = 16
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex
    x1 = xindex // 4
    tmp0 = tl.load(in_ptr0 + x2, xmask)
    tmp1 = tl.load(in_ptr0 + 4 * x1, xmask, eviction_policy='evict_last')
    tmp2 = tl.load(in_ptr0 + (1 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp4 = tl.load(in_ptr0 + (2 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp6 = tl.load(in_ptr0 + (3 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp3 = tmp1 + tmp2
    tmp5 = tmp3 + tmp4
    tmp7 = tmp5 + tmp6
    tmp8 = tmp0 / tmp7
    tl.store(out_ptr0 + x2, tmp8, xmask)


@triton.jit
def triton_poi_fused_mul_sum_2(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK:
    tl.constexpr):
    xnumel = 64
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x1 = xindex // 4 % 4
    x2 = xindex // 16
    x3 = xindex % 16
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + x1, xmask, eviction_policy='evict_last')
    tmp1 = tl.load(in_ptr1 + (x3 + 64 * x2), xmask)
    tmp3 = tl.load(in_ptr0 + (4 + x1), xmask, eviction_policy='evict_last')
    tmp4 = tl.load(in_ptr1 + (16 + x3 + 64 * x2), xmask)
    tmp7 = tl.load(in_ptr0 + (8 + x1), xmask, eviction_policy='evict_last')
    tmp8 = tl.load(in_ptr1 + (32 + x3 + 64 * x2), xmask)
    tmp11 = tl.load(in_ptr0 + (12 + x1), xmask, eviction_policy='evict_last')
    tmp12 = tl.load(in_ptr1 + (48 + x3 + 64 * x2), xmask)
    tmp2 = tmp0 * tmp1
    tmp5 = tmp3 * tmp4
    tmp6 = tmp2 + tmp5
    tmp9 = tmp7 * tmp8
    tmp10 = tmp6 + tmp9
    tmp13 = tmp11 * tmp12
    tmp14 = tmp10 + tmp13
    tl.store(out_ptr0 + x4, tmp14, xmask)


@triton.jit
def triton_poi_fused_mul_3(in_ptr0, out_ptr0, xnumel, XBLOCK: tl.constexpr):
    xnumel = 64
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex
    x1 = xindex // 4
    tmp0 = tl.load(in_ptr0 + x2, xmask)
    tmp1 = tl.load(in_ptr0 + 4 * x1, xmask, eviction_policy='evict_last')
    tmp3 = tl.load(in_ptr0 + (1 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp6 = tl.load(in_ptr0 + (2 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp9 = tl.load(in_ptr0 + (3 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp2 = tmp1 * tmp1
    tmp4 = tmp3 * tmp3
    tmp5 = tmp2 + tmp4
    tmp7 = tmp6 * tmp6
    tmp8 = tmp5 + tmp7
    tmp10 = tmp9 * tmp9
    tmp11 = tmp8 + tmp10
    tmp12 = 1.0
    tmp13 = tmp11 + tmp12
    tmp14 = tmp11 / tmp13
    tmp15 = libdevice.sqrt(tmp11)
    tmp16 = tmp14 / tmp15
    tmp17 = tmp0 * tmp16
    tl.store(out_ptr0 + x2, tmp17, xmask)


@triton.jit
def triton_poi_fused_add_mul_sum_4(in_ptr0, in_ptr1, in_ptr2, out_ptr0,
    xnumel, XBLOCK: tl.constexpr):
    xnumel = 64
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x3 = xindex % 16
    x4 = xindex
    x0 = xindex % 4
    x2 = xindex // 16
    tmp0 = tl.load(in_ptr0 + x3, xmask, eviction_policy='evict_last')
    tmp1 = tl.load(in_ptr1 + 4 * x4, xmask, eviction_policy='evict_last')
    tmp2 = tl.load(in_ptr2 + (4 * x0 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp4 = tl.load(in_ptr1 + (1 + 4 * x4), xmask, eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr2 + (1 + 4 * x0 + 16 * x2), xmask, eviction_policy
        ='evict_last')
    tmp8 = tl.load(in_ptr1 + (2 + 4 * x4), xmask, eviction_policy='evict_last')
    tmp9 = tl.load(in_ptr2 + (2 + 4 * x0 + 16 * x2), xmask, eviction_policy
        ='evict_last')
    tmp12 = tl.load(in_ptr1 + (3 + 4 * x4), xmask, eviction_policy='evict_last'
        )
    tmp13 = tl.load(in_ptr2 + (3 + 4 * x0 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp3 = tmp1 * tmp2
    tmp6 = tmp4 * tmp5
    tmp7 = tmp3 + tmp6
    tmp10 = tmp8 * tmp9
    tmp11 = tmp7 + tmp10
    tmp14 = tmp12 * tmp13
    tmp15 = tmp11 + tmp14
    tmp16 = tmp0 + tmp15
    tl.store(out_ptr0 + x4, tmp16, xmask)


@triton.jit
def triton_poi_fused__softmax_5(in_ptr0, out_ptr0, xnumel, XBLOCK: tl.constexpr
    ):
    xnumel = 64
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex
    x1 = xindex // 4
    tmp0 = tl.load(in_ptr0 + x2, xmask)
    tmp1 = tl.load(in_ptr0 + 4 * x1, xmask, eviction_policy='evict_last')
    tmp2 = tl.load(in_ptr0 + (1 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp4 = tl.load(in_ptr0 + (2 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp6 = tl.load(in_ptr0 + (3 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp3 = triton_helpers.maximum(tmp1, tmp2)
    tmp5 = triton_helpers.maximum(tmp3, tmp4)
    tmp7 = triton_helpers.maximum(tmp5, tmp6)
    tmp8 = tmp0 - tmp7
    tmp9 = tl_math.exp(tmp8)
    tl.store(out_ptr0 + x2, tmp9, xmask)


@triton.jit
def triton_poi_fused__softmax_6(in_ptr0, out_ptr0, xnumel, XBLOCK: tl.constexpr
    ):
    xnumel = 64
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x2 = xindex
    x1 = xindex // 4
    tmp0 = tl.load(in_ptr0 + x2, xmask)
    tmp1 = tl.load(in_ptr0 + 4 * x1, xmask, eviction_policy='evict_last')
    tmp2 = tl.load(in_ptr0 + (1 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp4 = tl.load(in_ptr0 + (2 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp6 = tl.load(in_ptr0 + (3 + 4 * x1), xmask, eviction_policy='evict_last')
    tmp3 = tmp1 + tmp2
    tmp5 = tmp3 + tmp4
    tmp7 = tmp5 + tmp6
    tmp8 = tmp0 / tmp7
    tl.store(out_ptr0 + x2, tmp8, xmask)


@triton.jit
def triton_poi_fused_mul_sum_7(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK:
    tl.constexpr):
    xnumel = 64
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x1 = xindex // 4 % 4
    x2 = xindex // 16
    x3 = xindex % 16
    x4 = xindex
    tmp0 = tl.load(in_ptr0 + (x1 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp1 = tl.load(in_ptr1 + (x3 + 64 * x2), xmask)
    tmp3 = tl.load(in_ptr0 + (4 + x1 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp4 = tl.load(in_ptr1 + (16 + x3 + 64 * x2), xmask)
    tmp7 = tl.load(in_ptr0 + (8 + x1 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp8 = tl.load(in_ptr1 + (32 + x3 + 64 * x2), xmask)
    tmp11 = tl.load(in_ptr0 + (12 + x1 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp12 = tl.load(in_ptr1 + (48 + x3 + 64 * x2), xmask)
    tmp2 = tmp0 * tmp1
    tmp5 = tmp3 * tmp4
    tmp6 = tmp2 + tmp5
    tmp9 = tmp7 * tmp8
    tmp10 = tmp6 + tmp9
    tmp13 = tmp11 * tmp12
    tmp14 = tmp10 + tmp13
    tl.store(out_ptr0 + x4, tmp14, xmask)


@triton.jit
def triton_poi_fused_add_mul_sum_8(in_out_ptr0, in_ptr0, in_ptr1, xnumel,
    XBLOCK: tl.constexpr):
    xnumel = 64
    xoffset = tl.program_id(0) * XBLOCK
    xindex = xoffset + tl.arange(0, XBLOCK)[:]
    xmask = xindex < xnumel
    x3 = xindex
    x0 = xindex % 4
    x2 = xindex // 16
    tmp0 = tl.load(in_out_ptr0 + x3, xmask)
    tmp1 = tl.load(in_ptr0 + 4 * x3, xmask, eviction_policy='evict_last')
    tmp2 = tl.load(in_ptr1 + (4 * x0 + 16 * x2), xmask, eviction_policy=
        'evict_last')
    tmp4 = tl.load(in_ptr0 + (1 + 4 * x3), xmask, eviction_policy='evict_last')
    tmp5 = tl.load(in_ptr1 + (1 + 4 * x0 + 16 * x2), xmask, eviction_policy
        ='evict_last')
    tmp8 = tl.load(in_ptr0 + (2 + 4 * x3), xmask, eviction_policy='evict_last')
    tmp9 = tl.load(in_ptr1 + (2 + 4 * x0 + 16 * x2), xmask, eviction_policy
        ='evict_last')
    tmp12 = tl.load(in_ptr0 + (3 + 4 * x3), xmask, eviction_policy='evict_last'
        )
    tmp13 = tl.load(in_ptr1 + (3 + 4 * x0 + 16 * x2), xmask,
        eviction_policy='evict_last')
    tmp3 = tmp1 * tmp2
    tmp6 = tmp4 * tmp5
    tmp7 = tmp3 + tmp6
    tmp10 = tmp8 * tmp9
    tmp11 = tmp7 + tmp10
    tmp14 = tmp12 * tmp13
    tmp15 = tmp11 + tmp14
    tmp16 = tmp0 + tmp15
    tl.store(in_out_ptr0 + x3, tmp16, xmask)


def call(args):
    primals_1, primals_2 = args
    args.clear()
    assert_size_stride(primals_1, (4, 4, 4, 4), (64, 16, 4, 1))
    assert_size_stride(primals_2, (4, 4), (4, 1))
    with torch.cuda._DeviceGuard(0):
        torch.cuda.set_device(0)
        buf0 = empty_strided_cuda((4, 4), (4, 1), torch.float32)
        get_raw_stream(0)
        triton_poi_fused__softmax_0[grid(16)](primals_2, buf0, 16, XBLOCK=
            16, num_warps=1, num_stages=1)
        buf1 = empty_strided_cuda((4, 4), (4, 1), torch.float32)
        triton_poi_fused__softmax_1[grid(16)](buf0, buf1, 16, XBLOCK=16,
            num_warps=1, num_stages=1)
        del buf0
        buf2 = empty_strided_cuda((4, 4, 4), (16, 4, 1), torch.float32)
        triton_poi_fused_mul_sum_2[grid(64)](buf1, primals_1, buf2, 64,
            XBLOCK=64, num_warps=1, num_stages=1)
        del buf1
        buf3 = empty_strided_cuda((4, 4, 4), (16, 4, 1), torch.float32)
        triton_poi_fused_mul_3[grid(64)](buf2, buf3, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf4 = buf2
        del buf2
        triton_poi_fused_add_mul_sum_4[grid(64)](primals_2, primals_1, buf3,
            buf4, 64, XBLOCK=64, num_warps=1, num_stages=1)
        buf5 = reinterpret_tensor(buf3, (16, 4), (4, 1), 0)
        del buf3
        triton_poi_fused__softmax_5[grid(64)](buf4, buf5, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf6 = empty_strided_cuda((16, 4), (4, 1), torch.float32)
        triton_poi_fused__softmax_6[grid(64)](buf5, buf6, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf7 = reinterpret_tensor(buf5, (4, 4, 4), (16, 4, 1), 0)
        del buf5
        triton_poi_fused_mul_sum_7[grid(64)](buf6, primals_1, buf7, 64,
            XBLOCK=64, num_warps=1, num_stages=1)
        buf8 = reinterpret_tensor(buf6, (4, 4, 4), (16, 4, 1), 0)
        del buf6
        triton_poi_fused_mul_3[grid(64)](buf7, buf8, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf9 = buf4
        del buf4
        triton_poi_fused_add_mul_sum_8[grid(64)](buf9, primals_1, buf8, 64,
            XBLOCK=64, num_warps=1, num_stages=1)
        buf10 = reinterpret_tensor(buf8, (16, 4), (4, 1), 0)
        del buf8
        triton_poi_fused__softmax_5[grid(64)](buf9, buf10, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf11 = reinterpret_tensor(buf7, (16, 4), (4, 1), 0)
        del buf7
        triton_poi_fused__softmax_6[grid(64)](buf10, buf11, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf12 = reinterpret_tensor(buf10, (4, 4, 4), (16, 4, 1), 0)
        del buf10
        triton_poi_fused_mul_sum_7[grid(64)](buf11, primals_1, buf12, 64,
            XBLOCK=64, num_warps=1, num_stages=1)
        buf13 = reinterpret_tensor(buf11, (4, 4, 4), (16, 4, 1), 0)
        del buf11
        triton_poi_fused_mul_3[grid(64)](buf12, buf13, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf14 = buf9
        del buf9
        triton_poi_fused_add_mul_sum_8[grid(64)](buf14, primals_1, buf13, 
            64, XBLOCK=64, num_warps=1, num_stages=1)
        buf15 = reinterpret_tensor(buf13, (16, 4), (4, 1), 0)
        del buf13
        triton_poi_fused__softmax_5[grid(64)](buf14, buf15, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf16 = reinterpret_tensor(buf12, (16, 4), (4, 1), 0)
        del buf12
        triton_poi_fused__softmax_6[grid(64)](buf15, buf16, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf17 = reinterpret_tensor(buf15, (4, 4, 4), (16, 4, 1), 0)
        del buf15
        triton_poi_fused_mul_sum_7[grid(64)](buf16, primals_1, buf17, 64,
            XBLOCK=64, num_warps=1, num_stages=1)
        buf18 = reinterpret_tensor(buf16, (4, 4, 4), (16, 4, 1), 0)
        del buf16
        triton_poi_fused_mul_3[grid(64)](buf17, buf18, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        del buf17
        buf19 = buf14
        del buf14
        triton_poi_fused_add_mul_sum_8[grid(64)](buf19, primals_1, buf18, 
            64, XBLOCK=64, num_warps=1, num_stages=1)
        buf20 = reinterpret_tensor(buf18, (16, 4), (4, 1), 0)
        del buf18
        triton_poi_fused__softmax_5[grid(64)](buf19, buf20, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf21 = reinterpret_tensor(buf19, (16, 4), (4, 1), 0)
        del buf19
        triton_poi_fused__softmax_6[grid(64)](buf20, buf21, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        buf22 = reinterpret_tensor(buf20, (4, 4, 4), (16, 4, 1), 0)
        del buf20
        triton_poi_fused_mul_sum_7[grid(64)](buf21, primals_1, buf22, 64,
            XBLOCK=64, num_warps=1, num_stages=1)
        buf23 = reinterpret_tensor(buf21, (4, 4, 4), (16, 4, 1), 0)
        del buf21
        triton_poi_fused_mul_3[grid(64)](buf22, buf23, 64, XBLOCK=64,
            num_warps=1, num_stages=1)
        del buf22
    return buf23, primals_1, primals_2


def squash(x):
    lengths2 = x.pow(2).sum(dim=2)
    lengths = lengths2.sqrt()
    x = x * (lengths2 / (1 + lengths2) / lengths).view(x.size(0), x.size(1), 1)
    return x


class AgreementRoutingNew(nn.Module):

    def __init__(self, input_caps, output_caps, n_iterations):
        super(AgreementRoutingNew, self).__init__()
        self.n_iterations = n_iterations
        self.b = nn.Parameter(torch.zeros((input_caps, output_caps)))

    def forward(self, input_0):
        primals_2 = self.b
        primals_1 = input_0
        output = call([primals_1, primals_2])
        return output[0]


Measured latency_ms: 0.034144