Esempio n. 1
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 def test_pass_registration():
     passes = [module_pass, function_pass]
     opt_level = 2
     pass_name = "sequential_pass"
     sequential_pass = ir_pass.sequential_pass(passes=passes,
                                               opt_level=opt_level)
     assert isinstance(sequential_pass, ir_pass.SequentialPass)
     pass_info = sequential_pass.info
     assert pass_info.name == pass_name
     assert pass_info.opt_level == opt_level
Esempio n. 2
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 def test_pass_registration():
     passes = [module_pass, function_pass]
     opt_level = 2
     pass_name = "sequential_pass"
     sequential_pass = ir_pass.sequential_pass(passes=passes,
                                               opt_level=opt_level)
     assert isinstance(sequential_pass, ir_pass.SequentialPass)
     pass_info = sequential_pass.info
     assert pass_info.name == pass_name
     assert pass_info.opt_level == opt_level
Esempio n. 3
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    def test_only_function_pass():
        # Check the subtract function.
        passes = [function_pass]
        sequential_pass = ir_pass.sequential_pass(opt_level=1, passes=passes)
        ret_mod = sequential_pass(mod)
        _, new_sub = extract_var_func(ret_mod, v_sub.name_hint)
        check_func(new_sub, get_ref_sub())

        # Check the log function.
        log_var, new_log = extract_var_func(ret_mod, v_log.name_hint)
        check_func(new_log, get_ref_log())
Esempio n. 4
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    def test_only_function_pass():
        # Check the subtract function.
        passes = [function_pass]
        sequential_pass = ir_pass.sequential_pass(opt_level=1, passes=passes)
        ret_mod = sequential_pass(mod)
        _, new_sub = extract_var_func(ret_mod, v_sub.name_hint)
        check_func(new_sub, get_ref_sub())

        # Check the log function.
        log_var, new_log = extract_var_func(ret_mod, v_log.name_hint)
        check_func(new_log, get_ref_log())
Esempio n. 5
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    def test_only_module_pass():
        passes = [module_pass]
        sequential_pass = ir_pass.sequential_pass(opt_level=1, passes=passes)
        ret_mod = sequential_pass(mod)
        # Check the subtract function.
        sub_var, new_sub = extract_var_func(ret_mod, v_sub.name_hint)
        check_func(new_sub, sub)

        # Check the abs function is added.
        abs_var, abs_func = get_var_func()
        abs_var, new_abs = extract_var_func(ret_mod, abs_var.name_hint)
        check_func(new_abs, abs_func)
Esempio n. 6
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    def test_only_module_pass():
        passes = [module_pass]
        sequential_pass = ir_pass.sequential_pass(opt_level=1, passes=passes)
        ret_mod = sequential_pass(mod)
        # Check the subtract function.
        sub_var, new_sub = extract_var_func(ret_mod, v_sub.name_hint)
        check_func(new_sub, sub)

        # Check the abs function is added.
        abs_var, abs_func = get_var_func()
        abs_var, new_abs = extract_var_func(ret_mod, abs_var.name_hint)
        check_func(new_abs, abs_func)
Esempio n. 7
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    def test_multiple_passes():
        # Reset the current module since mod has been polluted by the previous
        # function pass.
        mod = relay.Module({v_sub: sub, v_log: log})
        passes = [module_pass, function_pass]
        sequential_pass = ir_pass.sequential_pass(opt_level=1, passes=passes)
        ret_mod = sequential_pass(mod)

        # Check the abs function is added.
        abs_var, abs_func = get_var_func()
        abs_var, new_abs = extract_var_func(ret_mod, abs_var.name_hint)
        check_func(new_abs, get_ref_abs())

        # Check the subtract function is modified correctly.
        _, new_sub = extract_var_func(ret_mod, v_sub.name_hint)
        check_func(new_sub, get_ref_sub())

        # Check the log function is modified correctly.
        _, new_log = extract_var_func(ret_mod, v_log.name_hint)
        check_func(new_log, get_ref_log())

        # Execute the updated subtract function.
        x_nd = get_rand(shape, dtype)
        y_nd = get_rand(shape, dtype)
        ref_res = np.subtract(x_nd.asnumpy() * 2, y_nd.asnumpy() * 2)
        for target, ctx in ctx_list():
            exe1 = relay.create_executor("graph", ctx=ctx, target=target)
            exe2 = relay.create_executor("debug", ctx=ctx, target=target)
            res1 = exe1.evaluate(new_sub)(x_nd, y_nd)
            tvm.testing.assert_allclose(res1.asnumpy(), ref_res, rtol=1e-5)
            res2 = exe2.evaluate(new_sub)(x_nd, y_nd)
            tvm.testing.assert_allclose(res2.asnumpy(), ref_res, rtol=1e-5)

        # Execute the updated abs function.
        x_nd = get_rand((5, 10), dtype)
        ref_res = np.abs(x_nd.asnumpy() * 2)
        for target, ctx in ctx_list():
            exe1 = relay.create_executor("graph", ctx=ctx, target=target)
            exe2 = relay.create_executor("debug", ctx=ctx, target=target)
            res1 = exe1.evaluate(new_abs)(x_nd)
            tvm.testing.assert_allclose(res1.asnumpy(), ref_res, rtol=1e-5)
            res2 = exe2.evaluate(new_abs)(x_nd)
            tvm.testing.assert_allclose(res2.asnumpy(), ref_res, rtol=1e-5)
Esempio n. 8
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    def test_multiple_passes():
        # Reset the current module since mod has been polluted by the previous
        # function pass.
        mod = relay.Module({v_sub: sub, v_log: log})
        passes = [module_pass, function_pass]
        sequential_pass = ir_pass.sequential_pass(opt_level=1, passes=passes)
        ret_mod = sequential_pass(mod)

        # Check the abs function is added.
        abs_var, abs_func = get_var_func()
        abs_var, new_abs = extract_var_func(ret_mod, abs_var.name_hint)
        check_func(new_abs, get_ref_abs())

        # Check the subtract function is modified correctly.
        _, new_sub = extract_var_func(ret_mod, v_sub.name_hint)
        check_func(new_sub, get_ref_sub())

        # Check the log function is modified correctly.
        _, new_log = extract_var_func(ret_mod, v_log.name_hint)
        check_func(new_log, get_ref_log())

        # Execute the updated subtract function.
        x_nd = get_rand(shape, dtype)
        y_nd = get_rand(shape, dtype)
        ref_res = np.subtract(x_nd.asnumpy() * 2, y_nd.asnumpy() * 2)
        for target, ctx in ctx_list():
            exe1 = relay.create_executor("graph", ctx=ctx, target=target)
            exe2 = relay.create_executor("debug", ctx=ctx, target=target)
            res1 = exe1.evaluate(new_sub)(x_nd, y_nd)
            tvm.testing.assert_allclose(res1.asnumpy(), ref_res, rtol=1e-5)
            res2 = exe2.evaluate(new_sub)(x_nd, y_nd)
            tvm.testing.assert_allclose(res2.asnumpy(), ref_res, rtol=1e-5)

        # Execute the updated abs function.
        x_nd = get_rand((5, 10), dtype)
        ref_res = np.abs(x_nd.asnumpy() * 2)
        for target, ctx in ctx_list():
            exe1 = relay.create_executor("graph", ctx=ctx, target=target)
            exe2 = relay.create_executor("debug", ctx=ctx, target=target)
            res1 = exe1.evaluate(new_abs)(x_nd)
            tvm.testing.assert_allclose(res1.asnumpy(), ref_res, rtol=1e-5)
            res2 = exe2.evaluate(new_abs)(x_nd)
            tvm.testing.assert_allclose(res2.asnumpy(), ref_res, rtol=1e-5)
Esempio n. 9
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 def test_no_pass():
     passes = []
     sequential_pass = ir_pass.sequential_pass(opt_level=1, passes=passes)
     ret_mod = sequential_pass(mod)
     mod_func = ret_mod[v_sub]
     check_func(sub, mod_func)
Esempio n. 10
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 def test_no_pass():
     passes = []
     sequential_pass = ir_pass.sequential_pass(opt_level=1, passes=passes)
     ret_mod = sequential_pass(mod)
     mod_func = ret_mod[v_sub]
     check_func(sub, mod_func)