Clean up values #2739

justinchuby · 2025-12-19T20:15:52Z

No description provided.

Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>

codecov · 2025-12-19T20:20:04Z

❌ 24 Tests Failed:

Tests completed	Failed	Passed	Skipped
685	24	661	2953

View the top 3 failed test(s) by shortest run time

onnxscript.tensor_test.TestTensor::test_getitem_gather

Stack Traces | 0.002s run time

onnxscript\tensor_test.py:137: in test_getitem_gather
    y = x[indices_0_and_3]
        ^^^^^^^^^^^^^^^^^^
onnxscript\tensor.py:155: in __getitem__
    result = op.Gather(result, value, axis=axis)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:967: in Gather
    return op(*self._prepare_inputs(schema, data, indices), axis=axis)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.tensor_test.TestTensor::test_getitem_index_and_slice

Stack Traces | 0.002s run time

onnxscript\tensor_test.py:119: in test_getitem_index_and_slice
    y = x[0:2, 0]
        ^^^^^^^^^
onnxscript\tensor.py:118: in __getitem__
    scalar_indices.append([s, s + 1, axis_, 1])
                              ^^^^^
onnxscript\tensor.py:177: in __add__
    return self._opset.Add(self, other)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset14.py:81: in Add
    return op(*self._prepare_inputs(schema, A, B))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.tensor_test.TestTensor::test_getitem_index

Stack Traces | 0.003s run time

onnxscript\tensor_test.py:73: in test_getitem_index
    y = x[0]
        ^^^^
onnxscript\tensor.py:118: in __getitem__
    scalar_indices.append([s, s + 1, axis_, 1])
                              ^^^^^
onnxscript\tensor.py:177: in __add__
    return self._opset.Add(self, other)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset14.py:81: in Add
    return op(*self._prepare_inputs(schema, A, B))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_opt_input

Stack Traces | 0.005s run time

onnxscript\converter_test.py:302: in test_opt_input
    from tests.models import opt_input
tests\models\opt_input.py:38: in <module>
    def option2(X, Bias=op.Constant(value=make_tensor("zero", TensorProto.FLOAT, [1], [0]))):
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:464: in Constant
    return op(
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.evaluator_test.ORTEvaluatorTest::test_it_ignores_unknown_function_kwargs_when_option_set_to_true

Stack Traces | 0.005s run time

onnxscript\evaluator_test.py:50: in test_it_ignores_unknown_function_kwargs_when_option_set_to_true
    output = test_function(x, unknown=42)  # pylint: disable=unexpected-keyword-arg
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator_test.py:45: in test_function
    return op.Add(x, y)
           ^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset14.py:81: in Add
    return op(*self._prepare_inputs(schema, A, B))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_empty_floats_attribute

Stack Traces | 0.006s run time

onnxscript\converter_test.py:649: in test_empty_floats_attribute
    self.check_run(empty_floats, [], expected)
onnxscript\converter_test.py:472: in check_run
    output = onnxfn(*inputs)
             ^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\converter_test.py:646: in empty_floats
    return op.Constant(value_floats=[])
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:464: in Constant
    return op(
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_empty_ints_attribute

Stack Traces | 0.006s run time

onnxscript\converter_test.py:641: in test_empty_ints_attribute
    self.check_run(empty_ints, [], expected)
onnxscript\converter_test.py:472: in check_run
    output = onnxfn(*inputs)
             ^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\converter_test.py:638: in empty_ints
    return op.Constant(value_ints=[])
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:464: in Constant
    return op(
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_graph_attr_loop

Stack Traces | 0.006s run time

onnxscript\converter_test.py:490: in test_graph_attr_loop
    self.check_run(sum_to, inputs, expected_output)
onnxscript\converter_test.py:472: in check_run
    output = onnxfn(*inputs)
             ^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests\models\graph_attr.py:35: in sum_to
    zero = op.Constant(value_int=0)
           ^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:464: in Constant
    return op(
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_float_as_tensor_attribute

Stack Traces | 0.007s run time

onnxscript\converter_test.py:673: in test_float_as_tensor_attribute
    self.check_run(float_as_tensor, [], expected)
onnxscript\converter_test.py:472: in check_run
    output = onnxfn(*inputs)
             ^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\converter_test.py:670: in float_as_tensor
    return op.Constant(value=17.0)
           ^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:464: in Constant
    return op(
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_float_list_as_tensor_attribute

Stack Traces | 0.007s run time

onnxscript\converter_test.py:681: in test_float_list_as_tensor_attribute
    self.check_run(float_list_as_tensor, [], expected)
onnxscript\converter_test.py:472: in check_run
    output = onnxfn(*inputs)
             ^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\converter_test.py:678: in float_list_as_tensor
    return op.Constant(value=[13.0, 17.0])
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:464: in Constant
    return op(
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_int_as_tensor_attribute

Stack Traces | 0.007s run time

onnxscript\converter_test.py:657: in test_int_as_tensor_attribute
    self.check_run(int_as_tensor, [], expected)
onnxscript\converter_test.py:472: in check_run
    output = onnxfn(*inputs)
             ^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\converter_test.py:654: in int_as_tensor
    return op.Constant(value=17)
           ^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:464: in Constant
    return op(
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_int_list_as_tensor_attribute

Stack Traces | 0.012s run time

onnxscript\converter_test.py:665: in test_int_list_as_tensor_attribute
    self.check_run(int_list_as_tensor, [], expected)
onnxscript\converter_test.py:472: in check_run
    output = onnxfn(*inputs)
             ^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\converter_test.py:662: in int_list_as_tensor
    return op.Constant(value=[13, 17])
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:464: in Constant
    return op(
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.evaluator_test.EvaluatorTest::test_evaluator

Stack Traces | 0.012s run time

onnxscript\evaluator_test.py:29: in test_evaluator
    output = seq_map(x)
             ^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator_test.py:16: in seq_map
    seq1 = op.SequenceConstruct(x, x + 1, x + 2)
                                   ^^^^^
onnxscript\tensor.py:177: in __add__
    return self._opset.Add(self, other)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset14.py:81: in Add
    return op(*self._prepare_inputs(schema, A, B))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_loop_outer_scope

Stack Traces | 0.013s run time

onnxscript\converter_test.py:506: in test_loop_outer_scope
    self.check_run(loop_add, inputs, expected_output)
onnxscript\converter_test.py:472: in check_run
    output = onnxfn(*inputs)
             ^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests\models\graph_attr.py:66: in loop_add
    result = op.Loop(M, None, X, body=LoopBody)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:1789: in Loop
    return op(*self._prepare_inputs(schema, M, cond, *v_initial), body=body)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_graph_attr_scan

Stack Traces | 0.019s run time

onnxscript\converter_test.py:483: in test_graph_attr_scan
    self.check_run(cumulative_sum, inputs, expected_output)
onnxscript\converter_test.py:472: in check_run
    output = onnxfn(*inputs)
             ^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests\models\graph_attr.py:19: in cumulative_sum
    zero = op.Constant(value_int=0)
           ^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:464: in Constant
    return op(
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.tensor_test.TestTensor::test_getitem_slice

Stack Traces | 0.023s run time

onnxscript\tensor_test.py:98: in test_getitem_slice
    y = x[0:2]
        ^^^^^^
onnxscript\tensor.py:149: in __getitem__
    result = op.Slice(self, starts, ends, axes, steps)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:3544: in Slice
    return op(*self._prepare_inputs(schema, data, starts, ends, axes, steps))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_loop_inside_if

Stack Traces | 0.027s run time

onnxscript\converter_test.py:692: in test_loop_inside_if
    self.check_run(sum, [np.array(5, dtype=np.int64)], np.array(10, dtype=np.int64))
onnxscript\converter_test.py:472: in check_run
    output = onnxfn(*inputs)
             ^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\converter_test.py:686: in sum
    sum = op.Constant(value=0)
          ^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:464: in Constant
    return op(
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_loops_while

Stack Traces | 0.054s run time

onnxscript\converter_test.py:426: in test_loops_while
    res = loops_while.loop_range_cond_only(x)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests\models\loops_while.py:25: in loop_range_cond_only
    cond = op.Constant(value=make_tensor("true", TensorProto.BOOL, [], [1]))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:464: in Constant
    return op(
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_sequences

Stack Traces | 0.054s run time

onnxscript\converter_test.py:373: in test_sequences
    eager_mode = sequences.make_sequence_tensor(A)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests\models\sequences.py:11: in make_sequence_tensor
    seq = op.SequenceEmpty()
          ^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset11.py:3328: in SequenceEmpty
    return op(dtype=dtype)
           ^^^^^^^^^^^^^^^
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_graph_attr_loop_error

Stack Traces | 0.064s run time

onnxscript\converter_test.py:497: in test_graph_attr_loop_error
    sum_to_error(input)
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests\models\graph_attr.py:50: in sum_to_error
    zero = op.Constant(value_int=0)
           ^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:464: in Constant
    return op(
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_loops_break

Stack Traces | 0.136s run time

onnxscript\converter_test.py:405: in test_loops_break
    self.assertEqual(loops_break.loop_range_cond(x).tolist(), [0.0, 46.0, 92.0])
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests\models\loops_break.py:23: in loop_range_cond
    cond = op.Constant(value=make_tensor("condcst", TensorProto.BOOL, [1], [1]))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:464: in Constant
    return op(
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_eager_op

Stack Traces | 0.218s run time

onnxscript\converter_test.py:144: in test_eager_op
    res = eager_op.eager_op(x)
          ^^^^^^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests\models\eager_op.py:12: in eager_op
    return X % 1.5
           ^^^^^^^
onnxscript\tensor.py:166: in __mod__
    return self._opset.Mod(self, other, fmod=1)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:1974: in Mod
    return op(*self._prepare_inputs(schema, A, B), fmod=fmod)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_attr

Stack Traces | 3.81s run time

onnxscript\converter_test.py:129: in validate_run
    self.check_run(val.function, val.input, val.output[0])
onnxscript\converter_test.py:472: in check_run
    output = onnxfn(*inputs)
             ^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests\functions\attr_test.py:69: in tensor_attr
    return op.Constant(value=tensor1)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset13.py:464: in Constant
    return op(
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

onnxscript.converter_test.TestConverter::test_getitem

Stack Traces | 7.99s run time

onnxscript\converter_test.py:129: in validate_run
    self.check_run(val.function, val.input, val.output[0])
onnxscript\converter_test.py:472: in check_run
    output = onnxfn(*inputs)
             ^^^^^^^^^^^^^^^
onnxscript\values.py:593: in __call__
    return evaluator.default().eval_function(self, args, kwargs)  # type: ignore[arg-type, return-value]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:306: in eval_function
    result = function.function(*adapted_args, **adapted_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests\models\getitem.py:173: in nested_expr
    r = (A + 1)[0]
         ^^^^^
onnxscript\tensor.py:177: in __add__
    return self._opset.Add(self, other)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\onnx_opset\_impl\opset14.py:81: in Add
    return op(*self._prepare_inputs(schema, A, B))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\values.py:331: in __call__
    return evaluator.default().eval(schema, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:193: in eval
    outputs = self._eval(schema, inputs, attributes, closure)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:514: in _eval
    return _call_ort(schema, inputs, attributes, closure)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\evaluator.py:475: in _call_ort
    model, session_run_input, inputs = _prepare_model_and_inputs_for_eager(
onnxscript\evaluator.py:450: in _prepare_model_and_inputs_for_eager
    ir_version=values.select_ir_version(schema.since_version, domain=schema.domain),
               ^^^^^^^^^^^^^^^^^^^^^^^^
E   AttributeError: module 'onnxscript.values' has no attribute 'select_ir_version'

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Clean up values

f185fd3

Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>

github-project-automation bot added this to ONNX Script Review Board Dec 19, 2025

github-project-automation bot moved this to Todo in ONNX Script Review Board Dec 19, 2025

gramalingam approved these changes Dec 19, 2025

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Clean up values #2739

Clean up values #2739

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Clean up values #2739

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