FM / jit

/usr/local/lib64/python3.6/site-packages/torch/jit/

/usr/local/lib64/python3.6/site-packages/torch/jit

Name	Size	Mode	Actions
mobile/	-	0755	rm
__pycache__/	-	0755	rm
annotations.py	16126	0644	edit dl rm
frontend.py	40584	0644	edit dl rm
quantized.py	23816	0644	edit dl rm
supported_ops.py	10354	0644	edit dl rm
unsupported_tensor_ops.py	1830	0644	edit dl rm
_async.py	3787	0644	edit dl rm
_builtins.py	6205	0644	edit dl rm
_check.py	9280	0644	edit dl rm
_freeze.py	9047	0644	edit dl rm
_fuser.py	3819	0644	edit dl rm
_logging.py	256	0644	edit dl rm
_monkeytype_config.py	7129	0644	edit dl rm
_pickle.py	954	0644	edit dl rm
_recursive.py	40058	0644	edit dl rm
_script.py	60825	0644	edit dl rm
_serialization.py	6269	0644	edit dl rm
_state.py	3651	0644	edit dl rm
_trace.py	45873	0644	edit dl rm
__init__.py	6463	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/torch/jit/unsupported_tensor_ops.py (1830B)

import torch.jit
from textwrap import dedent

from typing import Dict, Any

def execWrapper(code, glob, loc):
    exec(code, glob, loc)

def _gen_unsupported_methods_properties():
    tensor_attrs = set(filter(lambda x: x[0] != "_", dir(torch.Tensor)))
    tensor = torch.tensor([2])
    funcs_template = dedent('''
    def func(x):
        return x.{op}()
    ''')

deprecated_apis = set(["volatile", "resize", "reinforce", "new", "name", "map2_", "has_names", "grad_fn", "resize_as"])
    tensor_attrs = tensor_attrs - deprecated_apis

properties = []
    methods = []
    sorted_tensor_attrs = sorted(list(tensor_attrs), key=lambda x: x.lower())
    for attr in sorted_tensor_attrs:
        funcs_str = funcs_template.format(op=attr)
        scope: Dict[str, Any] = {}
        execWrapper(funcs_str, globals(), scope)
        try:
            cu = torch.jit.CompilationUnit(funcs_str)
        except Exception as e:
            if "nonexistent attribute" not in repr(e):
                continue
            attr_repr = repr(getattr(tensor, attr))
            if "bound method" in attr_repr or "built-in method" in attr_repr:
                methods.append(attr)
            else:
                properties.append(attr)

mapped_methods = ("\t*  :meth:`~torch.Tensor." + x + r"`" for x in methods)
    mapped_properties = ("\t*  :attr:`~torch.Tensor." + x + r"`" for x in properties)
    return "\n".join(mapped_methods), "\n".join(mapped_properties)

def _list_unsupported_tensor_ops():
    header = """\n\n
Unsupported Tensor Methods
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    """
    methods, properties = _gen_unsupported_methods_properties()
    return header + "\n" + methods + """

Unsupported Tensor Properties
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    """ + "\n" + properties

__doc__ = _list_unsupported_tensor_ops()

import torch.jit from textwrap import dedent from typing import Dict, Any def execWrapper(code, glob, loc): exec(code, glob, loc) def _gen_unsupported_methods_properties(): tensor_attrs = set(filter(lambda x: x[0] != "_", dir(torch.Tensor))) tensor = torch.tensor([2]) funcs_template = dedent(''' def func(x): return x.{op}() ''') deprecated_apis = set(["volatile", "resize", "reinforce", "new", "name", "map2_", "has_names", "grad_fn", "resize_as"]) tensor_attrs = tensor_attrs - deprecated_apis properties = [] methods = [] sorted_tensor_attrs = sorted(list(tensor_attrs), key=lambda x: x.lower()) for attr in sorted_tensor_attrs: funcs_str = funcs_template.format(op=attr) scope: Dict[str, Any] = {} execWrapper(funcs_str, globals(), scope) try: cu = torch.jit.CompilationUnit(funcs_str) except Exception as e: if "nonexistent attribute" not in repr(e): continue attr_repr = repr(getattr(tensor, attr)) if "bound method" in attr_repr or "built-in method" in attr_repr: methods.append(attr) else: properties.append(attr) mapped_methods = ("\t* :meth:`~torch.Tensor." + x + r"`" for x in methods) mapped_properties = ("\t* :attr:`~torch.Tensor." + x + r"`" for x in properties) return "\n".join(mapped_methods), "\n".join(mapped_properties) def _list_unsupported_tensor_ops(): header = """\n\n Unsupported Tensor Methods ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ """ methods, properties = _gen_unsupported_methods_properties() return header + "\n" + methods + """ Unsupported Tensor Properties ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ """ + "\n" + properties __doc__ = _list_unsupported_tensor_ops()