code: def _test_sdpa_rewriter_7(self):
      def sfdp_pattern_7(query, key, value, training):
          q = query.permute(0, 2, 1, 3)
          k = key.permute(0, 2, 1, 3)
          v = value.permute(0, 2, 1, 3)
          div = q @ k.transpose(-2, -1) / math.sqrt(q.size(-1))
          div = div.to(torch.float32)
          attn_weight = torch.softmax(div, dim=-1)
          # Set to False
          attn_weight = torch.dropout(
              attn_weight, 0.00000000001, training
          )
          attn_weight = attn_weight.to(torch.float16)
          return attn_weight @ v
  
      args = (
          torch.randn(
              (2, 8, 4, 16), device=self.device, dtype=torch.half
          ),
          torch.randn(
              (2, 8, 4, 16), device=self.device, dtype=torch.half
          ),
          torch.randn(
              (2, 8, 4, 16), device=self.device, dtype=torch.half
          ),
      )
      self._check_common(
          sfdp_pattern_7,
          args,
          contains=SM80OrLater,
          has_dropout=True,
          override_check_equal=True,
          atol=2e-3,
      )
  
      args = (
          torch.randn((2, 8, 4, 16), device="cuda", dtype=torch.half),
          torch.randn((2, 8, 4, 16), device="cuda", dtype=torch.half),
          torch.randn((2, 8, 4, 16), device="cuda", dtype=torch.half),
      )
      self._check_common(
          checkpoint_wrapper(sfdp_pattern_7),
          args,
          contains=SM80OrLater,
          has_dropout=True,
          override_check_equal=True,
          atol=2e-3,
      )
  
imports: import functools
  import itertools
  import math
  import torch
  import torch._inductor.config
  import torch.utils.checkpoint
  from torch._dynamo.test_case import run_tests, TestCase
  from torch._dynamo.utils import counters
  from torch._inductor.utils import run_and_get_code
  from torch.testing._internal.common_cuda import PLATFORM_SUPPORTS_FUSED_ATTENTION, SM80OrLater
  from torch.testing._internal.common_utils import IS_LINUX, skipIfRocm
  from torch.testing._internal.inductor_utils import HAS_CPU, HAS_CUDA
label_desc: Use image node_id 10 for calling the TestSDPAPatternRewriterTemplate obj's underlying member method code with example usage: obj._test_sdpa_rewriter_7() and returns: unknown