Fix (jit): remove patcher

src/brevitas/core/quant/delay.py

@@ -21,7 +21,7 @@ def __init__(self, quant_delay_steps):
         super(_DelayQuant, self).__init__()
         self.quant_delay_steps: int = brevitas.jit.Attribute(quant_delay_steps, int)
 
-    @brevitas.jit.script_method_110_disabled
+    @brevitas.jit.script_method
     def forward(self, x: Tensor, y: Tensor) -> Tensor:
         if self.quant_delay_steps > 0:
             self.quant_delay_steps = self.quant_delay_steps - 1

src/brevitas/core/quant/int_base.py

@@ -61,7 +61,7 @@ def __init__(
         self.narrow_range = narrow_range
         self.delay_wrapper = DelayWrapper(quant_delay_steps)
 
-    @brevitas.jit.script_method_110_disabled
+    @brevitas.jit.script_method
     def to_int(self, scale: Tensor, zero_point: Tensor, bit_width: Tensor, x: Tensor) -> Tensor:
         y = x / scale
         y = y + zero_point
@@ -134,7 +134,7 @@ def __init__(
         self.narrow_range = narrow_range
         self.delay_wrapper = DelayWrapper(quant_delay_steps)
 
-    @brevitas.jit.script_method_110_disabled
+    @brevitas.jit.script_method
     def to_int(
             self, pre_scale: Tensor, pre_zero_point: Tensor, bit_width: Tensor,
             x: Tensor) -> Tensor:

src/brevitas/export/manager.py

@@ -20,7 +20,6 @@
 from brevitas.proxy.quant_proxy import QuantProxyProtocol
 from brevitas.quant_tensor import QuantTensor
 from brevitas.utils.jit_utils import clear_class_registry
-from brevitas.utils.jit_utils import jit_patches_generator
 from brevitas.utils.python_utils import patch
 
 
@@ -162,7 +161,6 @@ class BaseManager(ABC):
 
     target_name = None
     handlers = []
-    _base_trace_patches_generator = jit_patches_generator
     _fn_to_cache = []
     _fn_cache = []
     _cached_io_handler_map = {}
@@ -183,10 +181,7 @@ def _gen_patches(cls, fn_dispatcher):
 
     @classmethod
     def _trace_patches(cls):
-        patches = []
-        if cls._base_trace_patches_generator is not None:
-            patches += cls._base_trace_patches_generator()
-        patches += cls._gen_patches(cls._trace_fn_dispatcher)
+        patches = cls._gen_patches(cls._trace_fn_dispatcher)
         return patches
 
     @classmethod

src/brevitas/jit.py

@@ -1,13 +1,10 @@
 # Copyright (C) 2023, Advanced Micro Devices, Inc. All rights reserved.
 # SPDX-License-Identifier: BSD-3-Clause
 
-from packaging import version
 import torch
 
 from brevitas.config import JIT_ENABLED
 
-IS_ABOVE_110 = version.parse(torch.__version__) > version.parse('1.1.0')
-
 
 def _disabled(fn):
     return fn
@@ -20,15 +17,9 @@ def _disabled(fn):
     ScriptModule = torch.jit.ScriptModule
     Attribute = torch.jit.Attribute
 
-    if not IS_ABOVE_110:
-        script_method_110_disabled = _disabled
-    else:
-        script_method_110_disabled = script_method
-
 else:
 
     script_method = _disabled
     script = _disabled
-    script_method_110_disabled = _disabled
     ScriptModule = torch.nn.Module
     Attribute = lambda val, type: val

src/brevitas/utils/jit_utils.py

@@ -1,38 +1,10 @@
 # Copyright (C) 2023, Advanced Micro Devices, Inc. All rights reserved.
 # SPDX-License-Identifier: BSD-3-Clause
 
-import inspect
-
-import torch
-
-try:
-    from torch._jit_internal import get_torchscript_modifier
-except:
-    get_torchscript_modifier = None
-
-from dependencies import Injector
 from packaging import version
+import torch
 
 from brevitas import torch_version
-from brevitas.inject import ExtendedInjector
-from brevitas.jit import IS_ABOVE_110
-
-from .python_utils import patch
-
-
-def _get_modifier_wrapper(fn):
-    if inspect.isclass(fn) and issubclass(fn, (Injector, ExtendedInjector)):
-        return None
-    else:
-        return get_torchscript_modifier(fn)
-
-
-if IS_ABOVE_110:
-
-    def jit_patches_generator():
-        return [patch(torch._jit_internal, 'get_torchscript_modifier', _get_modifier_wrapper)]
-else:
-    jit_patches_generator = None
 
 
 def clear_class_registry():

tests/brevitas_examples/test_jit_trace.py

@@ -6,7 +6,6 @@
 import pytest
 import torch
 
-from brevitas.utils.jit_utils import jit_patches_generator
 from brevitas_examples.bnn_pynq.models import model_with_cfg
 
 FC_INPUT_SIZE = (1, 1, 28, 28)
@@ -28,9 +27,6 @@ def test_brevitas_fc_jit_trace(size, wbits, abits):
     fc, _ = model_with_cfg(nname.lower(), pretrained=False)
     fc.train(False)
     input_tensor = torch.randn(FC_INPUT_SIZE)
-    with ExitStack() as stack:
-        for mgr in jit_patches_generator():
-            stack.enter_context(mgr)
     traced_model = torch.jit.trace(fc, input_tensor)
     out_traced = traced_model(input_tensor)
     out = fc(input_tensor)
@@ -46,9 +42,6 @@ def test_brevitas_cnv_jit_trace(wbits, abits):
     cnv, _ = model_with_cfg(nname.lower(), pretrained=False)
     cnv.train(False)
     input_tensor = torch.randn(CNV_INPUT_SIZE)
-    with ExitStack() as stack:
-        for mgr in jit_patches_generator():
-            stack.enter_context(mgr)
     traced_model = torch.jit.trace(cnv, input_tensor)
     out_traced = traced_model(input_tensor)
     out = cnv(input_tensor)