After disallowing functions unsupported by Hidet as in #317 , the
compilation of the model `vision_maskrcnn` (previously failed on
unsupported `topk` method, as in #267 ) failed on a TypeError with the
following traceback message:

> File
"/home/bolin/Desktop/hidet/python/hidet/graph/graph_utils/functors.py",
line 75, in visit
> ret = self.visit_Operator(obj) # pylint: disable=assignment-from-none
>           ^^^^^^^^^^^^^^^^^^^^^^^^
> File
"/home/bolin/Desktop/hidet/python/hidet/graph/graph_utils/functors.py",
line 126, in visit_Operator
>     updated_outputs = op.reforward(inputs)
>                       ^^^^^^^^^^^^^^^^^^^^
> File "/home/bolin/Desktop/hidet/python/hidet/graph/operator.py", line
185, in reforward
>     return cls(*inputs, **attributes).outputs
>            ^^^^^^^^^^^^^^^^^^^^^^^^^^
> torch._dynamo.exc.BackendCompilerFailed: backend='hidet' raised:
> TypeError: ClampOp.__init__() missing 2 required positional arguments:
'min_value' and 'max_value'


The cause is that, inside the[ `reforward`
function](https://github.com/CentML/hidet/blob/da56e48148c5b075f1fba6d1d878a82889c9f731/python/hidet/graph/operator.py#L180-L185),
during the call to `cls(*inputs, **attributes)`, where `cls` is
`ClampOp`, `inputs` only consists of the input tensor and `attributes`
is an empty dictionary, so the `min_value` and `max_values` cannot be
passed to the initializer. This is because we did not initialize the
`attributes` dictionary to contain the values of these two parameter
[while initializing
`ClampOp`](https://github.com/CentML/hidet/blob/da56e48148c5b075f1fba6d1d878a82889c9f731/python/hidet/graph/ops/arithmetic.py#L586-L595).

This review disallows in fxgraph funcs that are unsupported(non-registered) in hidet.

fxgraph contains functions, methods(methods of `torch.Tensor`) and modules(`torch.nn`). These changes carry about functions only. 

Notes.
1. Works with torch version >= 2.2.0
2. There are a number of functions that allowed and appear in fxgraph on dynamo level but dynamo resolved it before passing the fxgraph to the compiler. If just disallow them we get an additional graph break. As a workaround these funcs are registered but the implementation just raise the exception.

After disallowing functions unsupported by Hidet as in #317 , the
compilation of the model `vision_maskrcnn` (previously failed on
unsupported `topk` method, as in #267 ) failed on a TypeError with the
following traceback message:

> File
"/home/bolin/Desktop/hidet/python/hidet/graph/graph_utils/functors.py",
line 75, in visit
> ret = self.visit_Operator(obj) # pylint: disable=assignment-from-none
>           ^^^^^^^^^^^^^^^^^^^^^^^^
> File
"/home/bolin/Desktop/hidet/python/hidet/graph/graph_utils/functors.py",
line 126, in visit_Operator
>     updated_outputs = op.reforward(inputs)
>                       ^^^^^^^^^^^^^^^^^^^^
> File "/home/bolin/Desktop/hidet/python/hidet/graph/operator.py", line
185, in reforward
>     return cls(*inputs, **attributes).outputs
>            ^^^^^^^^^^^^^^^^^^^^^^^^^^
> torch._dynamo.exc.BackendCompilerFailed: backend='hidet' raised:
> TypeError: ClampOp.__init__() missing 2 required positional arguments:
'min_value' and 'max_value'


The cause is that, inside the[ `reforward`
function](https://github.com/CentML/hidet/blob/da56e48148c5b075f1fba6d1d878a82889c9f731/python/hidet/graph/operator.py#L180-L185),
during the call to `cls(*inputs, **attributes)`, where `cls` is
`ClampOp`, `inputs` only consists of the input tensor and `attributes`
is an empty dictionary, so the `min_value` and `max_values` cannot be
passed to the initializer. This is because we did not initialize the
`attributes` dictionary to contain the values of these two parameter
[while initializing
`ClampOp`](https://github.com/CentML/hidet/blob/da56e48148c5b075f1fba6d1d878a82889c9f731/python/hidet/graph/ops/arithmetic.py#L586-L595).

This review disallows in fxgraph funcs that are unsupported(non-registered) in hidet.

fxgraph contains functions, methods(methods of `torch.Tensor`) and modules(`torch.nn`). These changes carry about functions only. 

Notes.
1. Works with torch version >= 2.2.0
2. There are a number of functions that allowed and appear in fxgraph on dynamo level but dynamo resolved it before passing the fxgraph to the compiler. If just disallow them we get an additional graph break. As a workaround these funcs are registered but the implementation just raise the exception.

Time by time after introducing disallow in graph for not supported ops
in #317, the following bug arise
```
>       for module_name, module in sys.modules.items():
E       RuntimeError: dictionary changed size during iteration
```
Fix one possible reason of it.

After disallowing functions unsupported by Hidet as in #317 , the
compilation of the model `vision_maskrcnn` (previously failed on
unsupported `topk` method, as in #267 ) failed on a TypeError with the
following traceback message:

> File
"/home/bolin/Desktop/hidet/python/hidet/graph/graph_utils/functors.py",
line 75, in visit
> ret = self.visit_Operator(obj) # pylint: disable=assignment-from-none
>           ^^^^^^^^^^^^^^^^^^^^^^^^
> File
"/home/bolin/Desktop/hidet/python/hidet/graph/graph_utils/functors.py",
line 126, in visit_Operator
>     updated_outputs = op.reforward(inputs)
>                       ^^^^^^^^^^^^^^^^^^^^
> File "/home/bolin/Desktop/hidet/python/hidet/graph/operator.py", line
185, in reforward
>     return cls(*inputs, **attributes).outputs
>            ^^^^^^^^^^^^^^^^^^^^^^^^^^
> torch._dynamo.exc.BackendCompilerFailed: backend='hidet' raised:
> TypeError: ClampOp.__init__() missing 2 required positional arguments:
'min_value' and 'max_value'


The cause is that, inside the[ `reforward`
function](https://github.com/CentML/hidet/blob/da56e48148c5b075f1fba6d1d878a82889c9f731/python/hidet/graph/operator.py#L180-L185),
during the call to `cls(*inputs, **attributes)`, where `cls` is
`ClampOp`, `inputs` only consists of the input tensor and `attributes`
is an empty dictionary, so the `min_value` and `max_values` cannot be
passed to the initializer. This is because we did not initialize the
`attributes` dictionary to contain the values of these two parameter
[while initializing
`ClampOp`](https://github.com/CentML/hidet/blob/da56e48148c5b075f1fba6d1d878a82889c9f731/python/hidet/graph/ops/arithmetic.py#L586-L595).

This review disallows in fxgraph funcs that are unsupported(non-registered) in hidet.

fxgraph contains functions, methods(methods of `torch.Tensor`) and modules(`torch.nn`). These changes carry about functions only. 

Notes.
1. Works with torch version >= 2.2.0
2. There are a number of functions that allowed and appear in fxgraph on dynamo level but dynamo resolved it before passing the fxgraph to the compiler. If just disallow them we get an additional graph break. As a workaround these funcs are registered but the implementation just raise the exception.

Time by time after introducing disallow in graph for not supported ops
in #317, the following bug arise
```
>       for module_name, module in sys.modules.items():
E       RuntimeError: dictionary changed size during iteration
```
Fix one possible reason of it.