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compiler.embedding: use typedtree hash to iterate inference to fixpoint.
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@ -8,7 +8,7 @@ annotated as ``@kernel`` when they are referenced.
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import os, re, linecache, inspect, textwrap
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from collections import OrderedDict, defaultdict
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from pythonparser import ast, source, diagnostic, parse_buffer
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from pythonparser import ast, algorithm, source, diagnostic, parse_buffer
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from . import types, builtins, asttyped, prelude
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from .transforms import ASTTypedRewriter, Inferencer, IntMonomorphizer
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@ -101,6 +101,7 @@ class ASTSynthesizer:
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constructor_type = types.TConstructor(instance_type)
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constructor_type.attributes['__objectid__'] = builtins.TInt(types.TValue(32))
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instance_type.constructor = constructor_type
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self.type_map[typ] = instance_type, constructor_type
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@ -253,6 +254,24 @@ class StitchingInferencer(Inferencer):
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super().visit_AttributeT(node)
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class TypedtreeHasher(algorithm.Visitor):
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def generic_visit(self, node):
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def freeze(obj):
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if isinstance(obj, ast.AST):
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return self.visit(obj)
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elif isinstance(obj, types.Type):
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return hash(obj.find())
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elif isinstance(obj, list):
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return tuple(obj)
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else:
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assert obj is None or isinstance(obj, (bool, int, float, str))
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return obj
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fields = node._fields
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if hasattr(node, '_types'):
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fields = fields + node._types
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return hash(tuple(freeze(getattr(node, field_name)) for field_name in fields))
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class Stitcher:
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def __init__(self, engine=None):
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if engine is None:
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@ -275,12 +294,17 @@ class Stitcher:
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inferencer = StitchingInferencer(engine=self.engine,
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value_map=self.value_map,
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quote=self._quote)
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hasher = TypedtreeHasher()
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# Iterate inference to fixed point.
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self.inference_finished = False
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while not self.inference_finished:
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self.inference_finished = True
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old_typedtree_hash = None
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while True:
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inferencer.visit(self.typedtree)
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typedtree_hash = hasher.visit(self.typedtree)
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if old_typedtree_hash == typedtree_hash:
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break
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old_typedtree_hash = typedtree_hash
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# After we have found all functions, synthesize a module to hold them.
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source_buffer = source.Buffer("", "<synthesized>")
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@ -488,7 +512,6 @@ class Stitcher:
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# the final call.
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function_node = self._quote_embedded_function(function)
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self.typedtree.insert(0, function_node)
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self.inference_finished = False
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return function_node.name
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elif function.artiq_embedded.syscall is not None:
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# Insert a storage-less global whose type instructs the compiler
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