Exemplo n.º 1
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    def test2(self):
        typingctx = typing.Context()
        targetctx = cpu.CPUContext(typingctx)
        test_ir = compiler.run_frontend(test_wont_propagate)
        #print("Num blocks = ", len(test_ir.blocks))
        #print(test_ir.dump())
        with cpu_target.nested_context(typingctx, targetctx):
            typingctx.refresh()
            targetctx.refresh()
            args = (types.int64, types.int64, types.int64)
            typemap, return_type, calltypes = type_inference_stage(
                typingctx, test_ir, args, None)
            type_annotation = type_annotations.TypeAnnotation(
                func_ir=test_ir,
                typemap=typemap,
                calltypes=calltypes,
                lifted=(),
                lifted_from=None,
                args=args,
                return_type=return_type,
                html_output=config.HTML)
            in_cps, out_cps = copy_propagate(test_ir.blocks, typemap)
            apply_copy_propagate(test_ir.blocks, in_cps,
                                 get_name_var_table(test_ir.blocks), typemap,
                                 calltypes)

            self.assertTrue(findAssign(test_ir, "x"))
Exemplo n.º 2
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    def test1(self):
        typingctx = typing.Context()
        targetctx = cpu.CPUContext(typingctx)
        test_ir = compiler.run_frontend(test_will_propagate)
        with cpu_target.nested_context(typingctx, targetctx):
            typingctx.refresh()
            targetctx.refresh()
            args = (types.int64, types.int64, types.int64)
            typemap, return_type, calltypes = type_inference_stage(
                typingctx, test_ir, args, None)
            type_annotation = type_annotations.TypeAnnotation(
                func_ir=test_ir,
                typemap=typemap,
                calltypes=calltypes,
                lifted=(),
                lifted_from=None,
                args=args,
                return_type=return_type,
                html_output=config.HTML)
            remove_dels(test_ir.blocks)
            in_cps, out_cps = copy_propagate(test_ir.blocks, typemap)
            apply_copy_propagate(test_ir.blocks, in_cps,
                                 get_name_var_table(test_ir.blocks), typemap,
                                 calltypes)

            remove_dead(test_ir.blocks, test_ir.arg_names, test_ir)
            self.assertFalse(findLhsAssign(test_ir, "x"))
Exemplo n.º 3
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 def mk_pipeline(cls, args, return_type=None, flags=None, locals={},
                 library=None, typing_context=None, target_context=None):
     if not flags:
         flags = Flags()
     flags.nrt = True
     if typing_context is None:
         typing_context = typing.Context()
     if target_context is None:
         target_context = cpu.CPUContext(typing_context)
     return cls(typing_context, target_context, library, args, return_type,
                flags, locals)
Exemplo n.º 4
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def compile_isolated(func, args, return_type=None, flags=DEFAULT_FLAGS,
                     locals={}):
    """
    Compile the function in an isolated environment (typing and target
    context).
    Good for testing.
    """
    from numba.core.registry import cpu_target
    typingctx = typing.Context()
    targetctx = cpu.CPUContext(typingctx)
    # Register the contexts in case for nested @jit or @overload calls
    with cpu_target.nested_context(typingctx, targetctx):
        return compile_extra(typingctx, targetctx, func, args, return_type,
                             flags, locals)
 def __init__(self, test_ir, args):
     self.state = compiler.StateDict()
     self.state.typingctx = typing.Context()
     self.state.targetctx = cpu.CPUContext(self.state.typingctx)
     self.state.func_ir = test_ir
     self.state.func_id = test_ir.func_id
     self.state.args = args
     self.state.return_type = None
     self.state.locals = dict()
     self.state.status = None
     self.state.lifted = dict()
     self.state.lifted_from = None
     self.state.typingctx.refresh()
     self.state.targetctx.refresh()
Exemplo n.º 6
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    def _run_parfor(cls, test_func, args, swap_map=None):
        # TODO: refactor this with get_optimized_numba_ir() where this is
        #       copied from
        typingctx = typing.Context()
        targetctx = cpu.CPUContext(typingctx)
        test_ir = compiler.run_frontend(test_func)
        options = cpu.ParallelOptions(True)

        tp = MyPipeline(typingctx, targetctx, args, test_ir)

        with cpu_target.nested_context(typingctx, targetctx):
            typingctx.refresh()
            targetctx.refresh()

            inline_pass = inline_closurecall.InlineClosureCallPass(
                tp.state.func_ir, options, typed=True
            )
            inline_pass.run()

            rewrites.rewrite_registry.apply("before-inference", tp.state)

            untyped_passes.ReconstructSSA().run_pass(tp.state)

            (
                tp.state.typemap,
                tp.state.return_type,
                tp.state.calltypes,
                _
            ) = typed_passes.type_inference_stage(
                tp.state.typingctx, tp.state.func_ir, tp.state.args, None
            )

            typed_passes.PreLowerStripPhis().run_pass(tp.state)

            diagnostics = numba.parfors.parfor.ParforDiagnostics()

            preparfor_pass = numba.parfors.parfor.PreParforPass(
                tp.state.func_ir,
                tp.state.typemap,
                tp.state.calltypes,
                tp.state.typingctx,
                options,
                swapped=diagnostics.replaced_fns,
                replace_functions_map=swap_map,
            )
            preparfor_pass.run()

            rewrites.rewrite_registry.apply("after-inference", tp.state)
            return tp, options, diagnostics, preparfor_pass
Exemplo n.º 7
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    def _context_builder_sig_args(self):
        typing_context = typing.Context()
        context = cpu.CPUContext(typing_context)
        lib = context.codegen().create_library('testing')
        with context.push_code_library(lib):
            module = lc.Module("test_module")

            sig = typing.signature(types.int32, types.int32)
            llvm_fnty = context.call_conv.get_function_type(sig.return_type,
                                                            sig.args)
            function = module.get_or_insert_function(llvm_fnty, name='test_fn')
            args = context.call_conv.get_arguments(function)
            assert function.is_declaration
            entry_block = function.append_basic_block('entry')
            builder = lc.Builder(entry_block)

            yield context, builder, sig, args
Exemplo n.º 8
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    def test1(self):
        typingctx = typing.Context()
        targetctx = cpu.CPUContext(typingctx)
        test_ir = compiler.run_frontend(test_will_propagate)
        with cpu_target.nested_context(typingctx, targetctx):
            typingctx.refresh()
            targetctx.refresh()
            args = (types.int64, types.int64, types.int64)
            typemap, _, calltypes, _ = type_inference_stage(
                typingctx, targetctx, test_ir, args, None)
            remove_dels(test_ir.blocks)
            in_cps, out_cps = copy_propagate(test_ir.blocks, typemap)
            apply_copy_propagate(test_ir.blocks, in_cps,
                                 get_name_var_table(test_ir.blocks), typemap,
                                 calltypes)

            remove_dead(test_ir.blocks, test_ir.arg_names, test_ir)
            self.assertFalse(findLhsAssign(test_ir, "x"))
Exemplo n.º 9
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 def __init__(self):
     self.typingctx = typing.Context()
     self.targetctx = cpu.CPUContext(self.typingctx)
     self.cr_cache = {}
Exemplo n.º 10
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 def setUp(self):
     # Reset the Dummy class
     Dummy.alive = 0
     # initialize the NRT (in case the tests are run in isolation)
     cpu.CPUContext(typing.Context())
Exemplo n.º 11
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 def setUp(self):
     super(BaseTestWithLifting, self).setUp()
     self.typingctx = typing.Context()
     self.targetctx = cpu.CPUContext(self.typingctx)
     self.flags = DEFAULT_FLAGS
Exemplo n.º 12
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 def _toplevel_target_context(self):
     # Lazily-initialized top-level target context, for all threads
     return cpu.CPUContext(self.typing_context, self._target_name)
Exemplo n.º 13
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 def setUp(self):
     typing_context = typing.Context()
     self.context = cpu.CPUContext(typing_context)