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https://github.com/zebrajr/pytorch.git
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ca567862b2
Summary: Part of #10774. This PR does the following: - Support ast.ExtSlice in the frontend. This is done by returning a list of ast.Index and ast.Slice. - Support multidimensional indexing with ints and slices The general approach is to desugar multidimensional indexing into at::slice, at::select operations. This is exactly how normal pytorch does indexing (by desugaring it into at::slice, at::select, and other ops). I used [this code](https://github.com/pytorch/pytorch/blob/master/torch/csrc/autograd/python_variable_indexing.cpp) as reference. We should be able to copy the rest of this to implement the missing indexing features in script (indexing with ellipses, tensors, sequences, etc). After I'm done implementing the missing indexing features in future prs, I can try to templatize python_variable_indexing.cpp so that it can work with both JIT script and normal pytorch indexing, but right now I'm not sure if that's a good idea or not. cc zdevito jamesr66a apaszke wanchaol Pull Request resolved: https://github.com/pytorch/pytorch/pull/10787 Differential Revision: D9481402 Pulled By: zou3519 fbshipit-source-id: 78c9fa42771a037d157879e23e20b87401cf1837
511 lines
19 KiB
Python
511 lines
19 KiB
Python
import torch
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import sys
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import ast
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import inspect
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import string
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from textwrap import dedent
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from functools import partial
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from collections import namedtuple
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from torch._C._jit_tree_views import *
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PY2 = sys.version_info[0] == 2
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_reserved_prefix = '__jit'
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_reserved_names = {'print'}
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_identifier_chars = set(string.ascii_lowercase + string.ascii_uppercase + string.digits)
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def is_reserved_name(name):
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return name.startswith(_reserved_prefix) or name in _reserved_names
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pretty_node_names = {
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ast.FunctionDef: "function definitions",
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ast.For: "for loops",
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ast.Delete: "del statements",
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ast.ClassDef: "class definitions",
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ast.With: "with statements",
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ast.Raise: "raise statements",
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ast.Assert: "assertions",
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ast.Import: "import statements",
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ast.ImportFrom: "import statements",
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ast.Global: "global variables",
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ast.Break: "break statements",
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ast.Continue: "continue statements",
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}
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node_start_tokens = {
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ast.FunctionDef: "def",
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ast.For: "for",
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ast.Delete: "del",
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ast.ClassDef: "class",
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ast.With: "with",
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ast.Raise: "raise",
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ast.Assert: "assert",
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ast.Import: "import",
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ast.ImportFrom: "from",
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ast.Global: "global",
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ast.Break: "break",
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ast.Continue: "continue",
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}
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if PY2:
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pretty_node_names.update({
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ast.Print: "print statements",
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ast.TryExcept: "try blocks",
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ast.TryFinally: "try blocks",
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ast.Exec: "exec statements",
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})
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node_start_tokens.update({
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ast.Print: "print",
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ast.TryExcept: "try",
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ast.TryFinally: "try",
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ast.Exec: "exec",
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})
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else:
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pretty_node_names.update({
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ast.AsyncFunctionDef: "async function definitions",
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ast.AsyncFor: "async for loops",
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ast.AsyncWith: "async with statements",
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ast.Try: "try blocks",
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ast.Nonlocal: "nonlocal variables",
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})
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node_start_tokens.update({
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ast.AsyncFunctionDef: "async def",
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ast.AsyncFor: "async for",
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ast.AsyncWith: "async with",
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ast.Try: "try",
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ast.Nonlocal: "nonlocal",
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})
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if sys.version_info >= (3, 6):
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pretty_node_names.update({
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ast.AnnAssign: "annotated assignments",
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})
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# NB: no specific token for AnnAssign
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class FrontendError(Exception):
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def __init__(self, source_range, msg):
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self.source_range = source_range
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self.msg = msg
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def __str__(self):
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result = self.msg
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if self.source_range is not None:
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result += '\n' + self.source_range.highlight()
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return result
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class NotSupportedError(FrontendError):
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pass
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class UnsupportedNodeError(NotSupportedError):
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def __init__(self, ctx, offending_node):
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# If we don't have a specific token, we default to length of 1
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node_type = type(offending_node)
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range_len = len(node_start_tokens.get(node_type, ' '))
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source_range = ctx.make_range(offending_node.lineno,
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offending_node.col_offset,
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offending_node.col_offset + range_len)
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feature_name = pretty_node_names.get(node_type, node_type.__name__)
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msg = "{} aren't supported".format(feature_name)
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super(NotSupportedError, self).__init__(source_range, msg)
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class FrontendTypeError(FrontendError):
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pass
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def build_stmts(ctx, stmts):
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stmts = [build_stmt(ctx, s) for s in stmts]
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return list(filter(None, stmts))
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def get_jit_ast(fn, is_method):
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source = dedent(inspect.getsource(fn))
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py_ast = ast.parse(source)
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if len(py_ast.body) != 1 or not isinstance(py_ast.body[0], ast.FunctionDef):
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raise RuntimeError("expected a single top-level function")
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type_line = torch.jit.annotations.get_type_line(source)
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return build_def(SourceRangeFactory(source), py_ast.body[0], type_line, is_method)
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class Builder(object):
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def __call__(self, ctx, node):
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method = getattr(self, 'build_' + node.__class__.__name__, None)
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if method is None:
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raise UnsupportedNodeError(ctx, node)
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return method(ctx, node)
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def build_def(ctx, py_def, type_line, is_method):
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returns = []
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ret_body = []
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body = py_def.body
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r = ctx.make_range(py_def.lineno, py_def.col_offset,
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py_def.col_offset + len("def"))
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param_list = build_param_list(ctx, py_def.args)
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return_type = None
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if getattr(py_def, 'returns', None) is not None:
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return_type = build_expr(ctx, py_def.returns)
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decl = Decl(r, param_list, return_type)
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if type_line is not None:
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type_comment_decl = torch._C.parse_type_comment(type_line)
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decl = torch._C.merge_type_from_type_comment(decl, type_comment_decl, is_method)
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return Def(Ident(r, py_def.name),
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decl,
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build_stmts(ctx, body))
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_vararg_kwarg_err = ("Compiled functions can't take variable number of arguments, "
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"have default values for arguments, nor keyword-only arguments")
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def build_param_list(ctx, py_args):
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if py_args.vararg is not None or py_args.kwarg is not None or py_args.defaults:
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raise ValueError(_vararg_kwarg_err)
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if not PY2 and (py_args.kw_defaults or py_args.kwonlyargs):
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raise ValueError(_vararg_kwarg_err)
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return [build_param(ctx, arg) for arg in py_args.args]
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def build_param(ctx, py_arg):
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# NB: In Python3 py_arg is a pair of (str arg, expr? annotation)
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# In Python2 py_arg is a Name (Expr subclass)
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name = py_arg.id if PY2 else py_arg.arg
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r = ctx.make_range(py_arg.lineno, py_arg.col_offset, py_arg.col_offset + len(name))
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if getattr(py_arg, 'annotation', None) is not None:
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annotation_expr = build_expr(ctx, py_arg.annotation)
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else:
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annotation_expr = Var(Ident(r, 'Tensor'))
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return Param(annotation_expr, Ident(r, name))
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class StmtBuilder(Builder):
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augassign_map = {
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ast.Add: '+',
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ast.Sub: '-',
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ast.Mult: '*',
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ast.Div: '/',
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}
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@staticmethod
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def build_Expr(ctx, stmt):
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value = stmt.value
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if value.__class__.__name__ == 'Str':
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# If a statement is a string literal expression,
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# then it is a docstring. Just ignore it.
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return None
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else:
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return ExprStmt([build_expr(ctx, value)])
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@staticmethod
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def get_assign_lhs_expr(ctx, expr):
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var = build_expr(ctx, expr)
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if not isinstance(var, Var) and not isinstance(var, Starred):
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raise NotSupportedError(var.range(),
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"the only expressions allowed on the left hand side of "
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"assignments are variable names and starred expressions")
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return var
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@staticmethod
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def build_Assign(ctx, stmt):
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rhs = build_expr(ctx, stmt.value)
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if len(stmt.targets) > 1:
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start_point = ctx.make_range(stmt.lineno, stmt.col_offset, stmt.col_offset + 1)
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raise NotSupportedError(ctx.make_raw_range(start_point.start, rhs.range().end),
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"Performing multiple assignments in a single line isn't supported")
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py_lhs = stmt.targets[0]
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py_lhs_exprs = py_lhs.elts if isinstance(py_lhs, ast.Tuple) else [py_lhs]
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return Assign([StmtBuilder.get_assign_lhs_expr(ctx, e) for e in py_lhs_exprs], '=', rhs)
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@staticmethod
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def build_Return(ctx, stmt):
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r = ctx.make_range(stmt.lineno, stmt.col_offset, stmt.col_offset + len("return"))
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values = (stmt.value,) if not isinstance(stmt.value, ast.Tuple) else stmt.value.elts
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return Return(r, [build_expr(ctx, val) for val in values if val is not None])
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@staticmethod
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def build_AugAssign(ctx, stmt):
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lhs = [StmtBuilder.get_assign_lhs_expr(ctx, stmt.target)]
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rhs = build_expr(ctx, stmt.value)
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op = type(stmt.op)
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if op in StmtBuilder.augassign_map:
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op_token = StmtBuilder.augassign_map[op]
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else:
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raise NotSupportedError(
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find_before(ctx, rhs.range().start, '=', offsets=(-1, 0)),
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"unsupported kind of augumented assignment: " + op.__name__)
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return Assign(lhs, op_token, rhs)
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@staticmethod
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def build_While(ctx, stmt):
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if stmt.orelse:
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# TODO: try to recover the location of else:? Python doesn't give us useful
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# annotations in this case
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raise NotSupportedError(None, "else branches of while loops aren't supported")
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r = ctx.make_range(stmt.lineno, stmt.col_offset, stmt.col_offset + len("while"))
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return While(r, build_expr(ctx, stmt.test),
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build_stmts(ctx, stmt.body))
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@staticmethod
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def build_For(ctx, stmt):
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r = ctx.make_range(stmt.lineno, stmt.col_offset, stmt.col_offset + len("for"))
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return For(
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r, [StmtBuilder.get_assign_lhs_expr(ctx, stmt.target)],
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[build_expr(ctx, stmt.iter)], build_stmts(ctx, stmt.body))
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@staticmethod
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def build_If(ctx, stmt):
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r = ctx.make_range(stmt.lineno, stmt.col_offset, stmt.col_offset + len("if"))
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return If(r, build_expr(ctx, stmt.test),
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build_stmts(ctx, stmt.body),
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build_stmts(ctx, stmt.orelse))
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@staticmethod
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def build_Print(ctx, stmt):
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r = ctx.make_range(stmt.lineno, stmt.col_offset, stmt.col_offset + len("print"))
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if stmt.dest:
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raise NotSupportedError(r, "print statements with non-default destinations aren't supported")
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args = [build_expr(ctx, val) for val in stmt.values]
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return ExprStmt([Apply(Var(Ident(r, "print")), args, [])])
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class ExprBuilder(Builder):
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binop_map = {
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ast.Add: '+',
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ast.Sub: '-',
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ast.Mult: '*',
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ast.Div: '/',
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ast.Pow: '**',
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}
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if not PY2:
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binop_map[ast.MatMult] = '@'
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unop_map = {
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ast.Not: 'not',
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ast.USub: '-',
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}
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boolop_map = {
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ast.And: 'and',
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ast.Or: 'or',
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}
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cmpop_map = {
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ast.Eq: '==',
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ast.NotEq: '!=',
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ast.LtE: '<=',
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ast.Lt: '<',
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ast.GtE: '>=',
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ast.Gt: '>',
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}
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@staticmethod
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def build_Attribute(ctx, expr):
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# NB: the only attributes we support are for getting methods
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value = build_expr(ctx, expr.value)
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# <sigh> name is just a string, so it's not annotated in any way.
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source = ctx.source
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pos = find_after(ctx, value.range().end, '.').end # Start with the dot
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while source[pos] in string.whitespace: # Skip whitespace
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pos += 1
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start_pos = pos
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while source[pos] in _identifier_chars: # Find the identifier itself
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pos += 1
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name_range = ctx.make_raw_range(start_pos, pos)
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return Select(value, Ident(name_range, expr.attr))
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@staticmethod
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def build_Call(ctx, expr):
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func = build_expr(ctx, expr.func)
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args = [build_expr(ctx, py_arg) for py_arg in expr.args]
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if hasattr(expr, 'starargs') and expr.starargs:
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stararg_expr = build_expr(ctx, expr.starargs)
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args += [Starred(stararg_expr.range(), stararg_expr)]
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kwargs = []
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for kw in expr.keywords:
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kw_expr = build_expr(ctx, kw.value)
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# XXX: we could do a better job at figuring out the range for the name here
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kwargs.append(Attribute(Ident(kw_expr.range(), kw.arg), kw_expr))
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return Apply(func, args, kwargs)
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@staticmethod
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def build_Name(ctx, expr):
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r = ctx.make_range(expr.lineno, expr.col_offset, expr.col_offset + len(expr.id))
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if expr.id.startswith(_reserved_prefix):
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raise NotSupportedError(r, "names of variables used in JIT-ed functions "
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"can't start with " + _reserved_prefix)
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if expr.id == "True":
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return TrueLiteral(r)
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elif expr.id == "False":
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return FalseLiteral(r)
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elif expr.id == "None":
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return NoneLiteral(r)
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return Var(Ident(r, expr.id))
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@staticmethod
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def build_NameConstant(ctx, expr):
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r = ctx.make_range(expr.lineno, expr.col_offset, expr.col_offset + len(str(expr.value)))
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if expr.value is True:
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return TrueLiteral(r)
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elif expr.value is False:
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return FalseLiteral(r)
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elif expr.value is None:
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return NoneLiteral(r)
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else:
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raise ValueError("Name constant value unsupported: " + str(expr.value))
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@staticmethod
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def build_BinOp(ctx, expr):
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lhs = build_expr(ctx, expr.left)
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rhs = build_expr(ctx, expr.right)
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op = type(expr.op)
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op_token = ExprBuilder.binop_map.get(op)
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if op_token is None:
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err_range = ctx.make_raw_range(lhs.range().end, rhs.range().start)
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raise NotSupportedError(err_range, "unsupported binary operator: " + op.__name__)
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return BinOp(op_token, lhs, rhs)
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@staticmethod
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def build_UnaryOp(ctx, expr):
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sub_expr = build_expr(ctx, expr.operand)
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op = type(expr.op)
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op_token = ExprBuilder.unop_map.get(op)
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r = ctx.make_range(expr.lineno, expr.col_offset, expr.col_offset + len(op_token))
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if op_token is None:
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err_range = ctx.make_raw_range(r.start, sub_expr.range().end)
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raise NotSupportedError(err_range, "unsupported unary operator: " + op.__name__)
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return UnaryOp(r, op_token, sub_expr)
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@staticmethod
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def build_BoolOp(ctx, expr):
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if len(expr.values) < 2:
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raise AssertionError("expected at least 2 values in BoolOp, but got " + str(len(expr.values)))
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sub_exprs = [build_expr(ctx, sub_expr) for sub_expr in expr.values]
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op = type(expr.op)
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op_token = ExprBuilder.boolop_map.get(op)
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if op_token is None:
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err_range = ctx.make_raw_range(sub_exprs[0].range().end, sub_exprs[1].range().start)
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raise NotSupportedError(err_range, "unsupported boolean operator: " + op.__name__)
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lhs = sub_exprs[0]
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for rhs in sub_exprs[1:]:
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lhs = BinOp(op_token, lhs, rhs)
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return lhs
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@staticmethod
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def build_IfExp(ctx, expr):
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return TernaryIf(build_expr(ctx, expr.test),
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build_expr(ctx, expr.body),
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build_expr(ctx, expr.orelse))
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@staticmethod
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def build_Compare(ctx, expr):
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operands = [build_expr(ctx, e) for e in [expr.left] + list(expr.comparators)]
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result = None
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for lhs, op_, rhs in zip(operands, expr.ops, operands[1:]):
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op = type(op_)
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op_token = ExprBuilder.cmpop_map.get(op)
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if op_token is None:
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err_range = ctx.make_raw_range(lhs.range().end, rhs.range().start)
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raise NotSupportedError(err_range, "unsupported comparison operator: " + op.__name__)
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cmp_expr = BinOp(op_token, lhs, rhs)
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if result is None:
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result = cmp_expr
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else:
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result = BinOp('and', result, cmp_expr)
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return result
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@staticmethod
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def build_Subscript(ctx, expr):
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def build_SliceExpr(ctx, base, slice_expr):
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lower = build_expr(ctx, slice_expr.lower) if slice_expr.lower is not None else None
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upper = build_expr(ctx, slice_expr.upper) if slice_expr.upper is not None else None
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if slice_expr.step is not None:
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step = build_expr(ctx, slice_expr.step)
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raise NotSupportedError(step.range(), "slices with ranges are not supported yet")
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return SliceExpr(base.range(), lower, upper)
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def build_Index(ctx, base, index_expr):
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if isinstance(index_expr.value, ast.Tuple) or \
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isinstance(index_expr.value, ast.List):
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raise NotSupportedError(base.range(),
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"slicing multiple dimensions with "
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"sequences not supported yet")
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return build_expr(ctx, index_expr.value)
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def build_ExtSlice(ctx, base, extslice):
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sub_exprs = []
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for expr in extslice.dims:
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sub_type = type(expr)
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if sub_type is ast.Index:
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sub_exprs.append(build_Index(ctx, base, expr))
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elif sub_type is ast.Slice:
|
|
sub_exprs.append(build_SliceExpr(ctx, base, expr))
|
|
else:
|
|
raise NotSupportedError(base.range(),
|
|
"slicing multiple dimensions with "
|
|
"{} not supported".format(sub_type))
|
|
return sub_exprs
|
|
|
|
base = build_expr(ctx, expr.value)
|
|
sub_type = type(expr.slice)
|
|
if sub_type is ast.Index:
|
|
if isinstance(expr.slice.value, ast.Tuple) or isinstance(expr.slice.value, ast.List):
|
|
indices = []
|
|
for index_expr in expr.slice.value.elts:
|
|
indices.append(build_expr(ctx, index_expr))
|
|
return Subscript(base, indices)
|
|
else:
|
|
return Subscript(base, [build_expr(ctx, expr.slice.value)])
|
|
elif sub_type is ast.Slice:
|
|
return Subscript(base, [build_SliceExpr(ctx, base, expr.slice)])
|
|
elif sub_type is ast.ExtSlice:
|
|
return Subscript(base, build_ExtSlice(ctx, base, expr.slice))
|
|
else: # Ellipsis (can only happen in Python 2)
|
|
raise NotSupportedError(base.range(), "ellipsis is not supported")
|
|
|
|
@staticmethod
|
|
def build_List(ctx, expr):
|
|
return ListLiteral(ctx.make_range(expr.lineno, expr.col_offset, expr.col_offset + 1),
|
|
[build_expr(ctx, e) for e in expr.elts])
|
|
|
|
@staticmethod
|
|
def build_Tuple(ctx, expr):
|
|
return TupleLiteral(ctx.make_range(expr.lineno, expr.col_offset, expr.col_offset + 1),
|
|
[build_expr(ctx, e) for e in expr.elts])
|
|
|
|
@staticmethod
|
|
def build_Num(ctx, expr):
|
|
value = str(expr.n)
|
|
r = ctx.make_range(expr.lineno, expr.col_offset, expr.col_offset + len(value))
|
|
return Const(r, value)
|
|
|
|
@staticmethod
|
|
def build_Str(ctx, expr):
|
|
value = str(expr.s)
|
|
r = ctx.make_range(expr.lineno, expr.col_offset, expr.col_offset + 1)
|
|
return StringLiteral(r, value)
|
|
|
|
@staticmethod
|
|
def build_Starred(ctx, expr):
|
|
r = ctx.make_range(expr.lineno, expr.col_offset, expr.col_offset + 1)
|
|
return Starred(r, build_expr(ctx, expr.value))
|
|
|
|
build_expr = ExprBuilder()
|
|
build_stmt = StmtBuilder()
|
|
|
|
|
|
def find_after(ctx, pos, substr, offsets=(0, 0)):
|
|
new_pos = pos + ctx.source[pos:].index(substr)
|
|
return ctx.make_raw_range(new_pos + offsets[0], new_pos + len(substr) + offsets[1])
|
|
|
|
|
|
def find_before(ctx, pos, substr, offsets=(0, 0)):
|
|
new_pos = ctx.source[:pos].rindex(substr)
|
|
return ctx.make_raw_range(new_pos + offsets[0], new_pos + len(substr) + offsets[1])
|