Create short tensor str for nodes

[justinchuby]

The display of constant value is now more concise.

>>> from onnxscript import ir
>>> n = ir.node("Add", [ir.Value(name="a", const_value=ir.tensor(1)), ir.Value(name="b", const_value=ir.tensor([1]*10))], name="n0")
>>> print(n)
%"anonymous:123273301338960"<?,?> ⬅️ ::Add(%"a"{1}, %"b"{[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]})
>>> print(repr(n))
Node(name='n0', domain='', op_type='Add', inputs=(Value(name='a', const_value={Tensor<INT64,[]>(array(1), name=None)}), Value(name='b', const_value={Tensor<INT64,[10]>(array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1]), name=None)})), attributes=OrderedDict(), overload='', outputs=(Value(name='anonymous:135329937264592', producer='n0', index=0),), version=None, doc_string=None)

[Copilot]

Pull Request Overview

This PR aims to improve the display of constant tensor values in nodes by producing a more concise string representation.

• Introduces a helper function (_short_tensor_str_for_node) to format the constant tensor value.
• Updates Node’s str method to utilize the new helper function for displaying constant values.

[codecov]

❌ 9 Tests Failed:

Tests completed	Failed	Passed	Skipped
15377	9	15368	2338

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

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_0009_test_add

Stack Traces | 0.003s run time

onnxscript\backend\onnx_export_test.py:137: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_add'

The above exception was the direct cause of the following exception:
.nox\test_onnx_weekly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:271: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:139: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_add' (e=No module named 'tests.onnx_backend_test_code.test_add') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_add.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_add.py', current folder: D:\a\onnxscript\onnxscript
E   ---- CONTENT --
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT
E   from onnxscript.onnx_opset import opset14
E   
E   @script()
E   def bck_test_add(x: FLOAT[3,4,5], y: FLOAT[3,4,5]) -> (FLOAT[3,4,5]):
E       sum = opset14.Add(x, y)
E       return sum

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_0740_test_max_two_inputs

Stack Traces | 0.004s run time

onnxscript\backend\onnx_export_test.py:137: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_max_two_inputs'

The above exception was the direct cause of the following exception:
.nox\test_onnx_weekly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:271: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:139: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_max_two_inputs' (e=No module named 'tests.onnx_backend_test_code.test_max_two_inputs') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_max_two_inputs.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_max_two_inputs.py', current folder: D:\a\onnxscript\onnxscript
E   ---- CONTENT --
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_max_two_inputs(data_0: FLOAT[3], data_1: FLOAT[3]) -> (FLOAT[3]):
E       result = opset13.Max(data_0, data_1)
E       return result

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_1388_test_top_k_negative_axis

Stack Traces | 0.004s run time

onnxscript\backend\onnx_export_test.py:137: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_top_k_negative_axis'

The above exception was the direct cause of the following exception:
.nox\test_onnx_weekly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:271: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:139: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_top_k_negative_axis' (e=No module named 'tests.onnx_backend_test_code.test_top_k_negative_axis') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_top_k_negative_axis.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_top_k_negative_axis.py', current folder: D:\a\onnxscript\onnxscript
E   ---- CONTENT --
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT, INT64
E   from onnxscript.onnx_opset import opset11
E   
E   @script()
E   def bck_test_top_k_negative_axis(x: FLOAT[3,4], k: INT64[1]) -> (FLOAT[3,3], INT64[3,3]):
E       values, indices = opset11.TopK(x, k, axis=-1)
E       return values, indices

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[justinchuby]

@gramalingam