def wrapped(*args, **kwargs):
ctx = get_current_context()
if not ctx or getattr(ctx, 'in_operator', False) or not ctx.is_tracing:
op1 = operator(*args, **kwargs)
return op1
ctx.in_operator = True
if operator_info.custom_trace_fn is not None:
result = operator_info.custom_trace_fn(operator, *args, **kwargs)
else:
ia_op_exec_context = ctx.get_caller_context(operator_info.name)
ctx.register_operator_call(ia_op_exec_context.operator_name, ia_op_exec_context.scope_in_model)
op_input = OperatorInput(list(args), kwargs)
processed_input = ctx.execute_pre_hooks(ia_op_exec_context, op_input)
args = tuple(processed_input.op_args)
kwargs = processed_input.op_kwargs
fargs = flatten_args(args, kwargs)
node = ctx.find_operator_node(fargs, ia_op_exec_context)
if is_debug():
ctx.register_node_call(ctx.graph.get_node_key_by_id(node.node_id))
result = operator(*args, **kwargs)
result = trace_tensors(result, node)
result = ctx.execute_post_hooks(ia_op_exec_context, result)
ctx.in_operator = False
return result
def is_in_nncf_tracing():
if not is_nncf_enabled():
return False
ctx = get_current_context()
if ctx is None:
return False
return ctx.is_tracing
def wrapped(self, *args, **kwargs):
ctx = get_current_context()
if not ctx or self.__class__ in _IGNORED_SCOPES:
if isinstance(self, DataParallel):
_warn_data_parallel()
return module_call(self, *args, **kwargs)
ctx.push_scope(self)
retval = module_call(self, *args, **kwargs)
if type(self).__name__ in ITERATION_MODULES.registry_dict.keys():
ctx.reset_operator_call_count_in_scope(ctx.scope)
ctx.pop_scope()
return retval
def wrapped(*args, **kwargs):
ctx = get_current_context()
if not ctx or getattr(ctx, 'in_operator', False) or not ctx.is_tracing:
op1 = operator(*args, **kwargs)
return op1
ctx.in_operator = True
if operator_info.custom_trace_fn is not None:
try:
result = operator_info.custom_trace_fn(operator, *args, **kwargs)
except:
# Looks like the __repr__ call made during IDE debug to display tensor contents does not exit properly,
# but instead throws an exception. This try...except block handles such a situation.
# Otherwise the context is stuck in the "in_operator == True" state.
ctx.in_operator = False
raise
else:
ia_op_exec_context = ctx.get_caller_context(operator_info.name)
ctx.register_operator_call(ia_op_exec_context.operator_name, ia_op_exec_context.scope_in_model)
op_input = OperatorInput(list(args), kwargs)
processed_input = ctx.execute_pre_hooks(ia_op_exec_context, op_input)
args = tuple(processed_input.op_args)
kwargs = processed_input.op_kwargs
fargs = flatten_args(args, kwargs)
node = ctx.find_operator_node(fargs, ia_op_exec_context)
if is_debug():
ctx.register_node_call(ctx.graph.get_node_key_by_id(node.node_id))
result = operator(*args, **kwargs)
result = trace_tensors(result, node)
result = ctx.execute_post_hooks(ia_op_exec_context, result)
ctx.in_operator = False
return result
