Bump version to 0.3.0

[justinchuby]

No description provided.

[codecov]

❌ 148 Tests Failed:

Tests completed	Failed	Passed	Skipped
11108	148	10960	1865

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

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_0034_test_and_bcast4v3d

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_and_bcast4v3d'

The above exception was the direct cause of the following exception:
.nox\test_torch_nightly\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_and_bcast4v3d' (e=No module named 'tests.onnx_backend_test_code.test_and_bcast4v3d') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_and_bcast4v3d.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_and_bcast4v3d.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 BOOL
E   from onnxscript.onnx_opset import opset7
E   
E   @script()
E   def bck_test_and_bcast4v3d(x: BOOL[3,4,5,6], y: BOOL[4,5,6]) -> (BOOL[3,4,5,6]):
E       r_and = opset7.And(x, y)
E       return r_and

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_0055_test_argmin_default_axis_random_select_last_index

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_argmin_default_axis_random_select_last_index'

The above exception was the direct cause of the following exception:
.nox\test_torch_nightly\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_argmin_default_axis_random_select_last_index' (e=No module named 'tests.onnx_backend_test_code.test_argmin_default_axis_random_select_last_index') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_argmin_default_axis_random_select_last_index.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_argmin_default_axis_random_select_last_index.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 opset13
E   
E   @script()
E   def bck_test_argmin_default_axis_random_select_last_index(data: FLOAT[2,3,4]) -> (INT64[1,3,4]):
E       result = opset13.ArgMin(data, keepdims=1, select_last_index=1)
E       return result

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_0876_test_reduce_max_do_not_keepdims_example

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_reduce_max_do_not_keepdims_example'

The above exception was the direct cause of the following exception:
.nox\test_torch_nightly\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_reduce_max_do_not_keepdims_example' (e=No module named 'tests.onnx_backend_test_code.test_reduce_max_do_not_keepdims_example') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_reduce_max_do_not_keepdims_example.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_reduce_max_do_not_keepdims_example.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 opset18
E   
E   @script()
E   def bck_test_reduce_max_do_not_keepdims_example(data: FLOAT[3,2,2], axes: INT64[1]) -> (FLOAT[3,2]):
E       reduced = opset18.ReduceMax(data, axes, keepdims=0)
E       return reduced

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[titaiwangms]

Why do we bump so quick?

[gramalingam]

Why do we bump so quick?

+1 ... we will hit 1.0 quickly at this rate. I am referring to the delta in the version number (not the frequency of updated versions).

[justinchuby]

My current thinking is that we can follow semantic versioning (ref: https://semver.org/) more closely, given that the versioning isn't as big for branding onnxscript as for onnx and pytorch. (aka we can bump major versions with less constraints).

The minor version happens when new apis/features are introduced, in this case opset22. We don't need to hit 1.0 if we don't want to. I.e. it will become 0.11, 0.12 etc. The patch versions are reserved for simple bug fixes that don't impact apis etc.

[justinchuby]

Also for bug fixes we can branch out, change version numbers, and cherry pick like how onnx and pytorch do it. The VERISON number in the main branch is always bumped to the next minor version number after release.

[justinchuby]

@titaiwangms ptal