Revert D82355346

Summary:
This diff reverts D82355346
This diff break the cache hits for PT2 cache, as result, we saw a jump in PT2 compilation time

Depends on D82355346

Reviewed By: HugeEngine

Differential Revision: D84169566

Author: Dark Knight

test/quantization/test_da8w4_cpu.py

@@ -8,7 +8,6 @@
 import unittest
 
 import torch
-from torch._dynamo.utils import counters
 from torch.testing._internal import common_utils
 from torch.testing._internal.common_utils import (
     TestCase,
@@ -121,6 +120,7 @@ def test_8da4w_cpu(self, dtype, x_dim, bias, bs, sym_quant_a):
     @common_utils.parametrize("x_dim", [2, 3])
     @common_utils.parametrize("bias", [True, False])
     def test_8da4w_concat_linear_cpu(self, x_dim, bias):
+        self.skipTest("Disabled for now")
         N, K = 64, 128
 
         class Mod(torch.nn.Module):
@@ -163,15 +163,6 @@ def forward(self, x):
             # ensure the expected op occurs only once in the code after fusion
             # The trailing "(" is to avoid matching the op in the comment
             assert code[0].count("torch.ops.torchao.da8w4_linear_cpu.default(") == 1
-
-            # Ensure that when concat linear is enabled, fxgraph cache works
-            # without being bypassed (fxgraph_cache_bypass = 0), indicating that
-            # DA8W4ConcatLinearCPUPass properly implements the CustomGraphPass
-            # interface and uuid() function, allowing fxgraph to be saved and hit
-            # on subsequent runs (fxgraph_cache_hit > 0).
-            fx_cache_bypass_count = counters["inductor"]["fxgraph_cache_bypass"]
-            assert fx_cache_bypass_count == 0
-
             with torch._inductor.config.patch(
                 {"freezing": True, "cpp.enable_concat_linear": False}
             ):
@@ -181,10 +172,6 @@ def forward(self, x):
                 )
             assert torch.allclose(y, y_ref)
 
-            # Ensure that the fxgraph cache is also not bypassed when concat linear is disabled
-            fx_cache_bypass_count = counters["inductor"]["fxgraph_cache_bypass"]
-            assert fx_cache_bypass_count == 0
-
 
 common_utils.instantiate_parametrized_tests(TestDa8w4Cpu)
 

torchao/dtypes/uintx/dyn_int8_act_int4_wei_cpu_layout.py

@@ -314,6 +314,6 @@ def _linear_int8_act_int4_weight_cpu_impl(input_tensor, weight_tensor, bias):
 
 
 # Register the concat linear fusion pass
-from ...prototype.inductor.fx_passes import register_da8w4_concat_linear_cpu_pass
+# from ...prototype.inductor.fx_passes import register_da8w4_concat_linear_cpu_pass
 
-register_da8w4_concat_linear_cpu_pass()
+# register_da8w4_concat_linear_cpu_pass()

torchao/prototype/inductor/fx_passes/da8w4_concat_linear_fusion_cpu.py

@@ -7,15 +7,6 @@
 import operator
 
 import torch
-from torch._inductor.custom_graph_pass import CustomGraphPass, get_hash_for_files
-
-
-class DA8W4ConcatLinearCPUPass(CustomGraphPass):
-    def __call__(self, graph: torch.fx.Graph):
-        _concat_linear_dq8w4_cpu(graph)
-
-    def uuid(self):
-        return get_hash_for_files((__file__,))
 
 
 # Inductor FX passes for concat linear for DA8W4
@@ -222,5 +213,4 @@ def ...
 def register_da8w4_concat_linear_cpu_pass():
     from torch._inductor import config as inductor_config
 
-    da8w4_concat_linear_cpu_pass = DA8W4ConcatLinearCPUPass()
-    inductor_config.post_grad_custom_post_pass = da8w4_concat_linear_cpu_pass
+    inductor_config.post_grad_custom_post_pass = _concat_linear_dq8w4_cpu