mirror of https://github.com/m-labs/artiq.git
93 lines
4.3 KiB
Python
93 lines
4.3 KiB
Python
"""
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The :class:`Module` class encapsulates a single Python module,
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which corresponds to a single ARTIQ translation unit (one LLVM
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bitcode file and one object file, unless LTO is used).
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A :class:`Module` can be created from a typed AST.
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The :class:`Source` class parses a single source file or
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string and infers types for it using a trivial :module:`prelude`.
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"""
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import os
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from pythonparser import source, diagnostic, parse_buffer
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from . import prelude, types, transforms, analyses, validators
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class Source:
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def __init__(self, source_buffer, engine=None):
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if engine is None:
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self.engine = diagnostic.Engine(all_errors_are_fatal=True)
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else:
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self.engine = engine
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self.embedding_map = None
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self.name, _ = os.path.splitext(os.path.basename(source_buffer.name))
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asttyped_rewriter = transforms.ASTTypedRewriter(engine=engine,
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prelude=prelude.globals())
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inferencer = transforms.Inferencer(engine=engine)
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self.parsetree, self.comments = parse_buffer(source_buffer, engine=engine)
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self.typedtree = asttyped_rewriter.visit(self.parsetree)
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self.globals = asttyped_rewriter.globals
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inferencer.visit(self.typedtree)
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@classmethod
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def from_string(cls, source_string, name="input.py", first_line=1, engine=None):
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return cls(source.Buffer(source_string + "\n", name, first_line), engine=engine)
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@classmethod
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def from_filename(cls, filename, engine=None):
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with open(filename) as f:
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return cls(source.Buffer(f.read(), filename, 1), engine=engine)
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class Module:
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def __init__(self, src, ref_period=1e-6, attribute_writeback=True, remarks=True):
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self.attribute_writeback = attribute_writeback
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self.engine = src.engine
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self.embedding_map = src.embedding_map
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self.name = src.name
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self.globals = src.globals
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int_monomorphizer = transforms.IntMonomorphizer(engine=self.engine)
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inferencer = transforms.Inferencer(engine=self.engine)
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monomorphism_validator = validators.MonomorphismValidator(engine=self.engine)
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escape_validator = validators.EscapeValidator(engine=self.engine)
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iodelay_estimator = transforms.IODelayEstimator(engine=self.engine,
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ref_period=ref_period)
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constness = analyses.Constness(engine=self.engine)
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artiq_ir_generator = transforms.ARTIQIRGenerator(engine=self.engine,
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module_name=src.name,
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ref_period=ref_period)
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dead_code_eliminator = transforms.DeadCodeEliminator(engine=self.engine)
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local_access_validator = validators.LocalAccessValidator(engine=self.engine)
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devirtualization = analyses.Devirtualization()
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interleaver = transforms.Interleaver(engine=self.engine)
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invariant_detection = analyses.InvariantDetection(engine=self.engine)
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int_monomorphizer.visit(src.typedtree)
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inferencer.visit(src.typedtree)
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monomorphism_validator.visit(src.typedtree)
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escape_validator.visit(src.typedtree)
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iodelay_estimator.visit_fixpoint(src.typedtree)
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constness.visit(src.typedtree)
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devirtualization.visit(src.typedtree)
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self.artiq_ir = artiq_ir_generator.visit(src.typedtree)
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artiq_ir_generator.annotate_calls(devirtualization)
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dead_code_eliminator.process(self.artiq_ir)
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interleaver.process(self.artiq_ir)
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local_access_validator.process(self.artiq_ir)
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if remarks:
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invariant_detection.process(self.artiq_ir)
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def build_llvm_ir(self, target):
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"""Compile the module to LLVM IR for the specified target."""
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llvm_ir_generator = transforms.LLVMIRGenerator(
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engine=self.engine, module_name=self.name, target=target,
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embedding_map=self.embedding_map)
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return llvm_ir_generator.process(self.artiq_ir,
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attribute_writeback=self.attribute_writeback)
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def __repr__(self):
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printer = types.TypePrinter()
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globals = ["%s: %s" % (var, printer.name(self.globals[var])) for var in self.globals]
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return "<artiq.compiler.Module %s {\n %s\n}>" % (repr(self.name), ",\n ".join(globals))
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