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Supports subgraph in the light API #48

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Merged
sdpython merged 18 commits into from
Nov 13, 2023
Merged

Supports subgraph in the light API #48

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e0233dc
Supports subgraph in the light API
xadupre Nov 12, 2023
dac2489
fix opset
xadupre Nov 12, 2023
d75473f
doc
xadupre Nov 12, 2023
42ce40b
disable
xadupre Nov 12, 2023
b3dd245
disable check_model on Windows
xadupre Nov 12, 2023
292d3cd
add check_model
xadupre Nov 12, 2023
2db8edb
issue
xadupre Nov 12, 2023
9291536
more consistent with CI
xadupre Nov 13, 2023
9fc696e
add missing import
xadupre Nov 13, 2023
aeab071
fix misspelling
xadupre Nov 13, 2023
8be137a
add missing import
xadupre Nov 13, 2023
8354ae2
disable one test on windows
xadupre Nov 13, 2023
b922647
disable more tests
xadupre Nov 13, 2023
d3da504
more disabling
xadupre Nov 13, 2023
d2262e3
disable more tests on windows
xadupre Nov 13, 2023
ad82c19
rename
xadupre Nov 13, 2023
3910302
disable the right tests
xadupre Nov 13, 2023
2cdaeae
fix type discrepancies on windows
xadupre Nov 13, 2023
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@xadupre
xadupre committed Nov 12, 2023
commit 2db8edb11bec8fa1fa135f04c2945069f5681b1c
3 changes: 0 additions & 3 deletions _unittests/ut_ort/test_ort_tensor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,6 @@
from io import StringIO
import numpy as np
from onnx import TensorProto
from onnx.checker import check_model
from onnx.defs import onnx_opset_version
from onnx.reference import ReferenceEvaluator
from onnxruntime import InferenceSession
Expand Down Expand Up @@ -197,7 +196,6 @@ def impl(xa, xb):
def test_astype_w2(self):
f = absolute_inline(copy_inline(Input("A")).astype(DType(TensorProto.FLOAT)))
onx = f.to_onnx(constraints={"A": Float64[None]})
check_model(onx)
x = np.array([[-5, 6]], dtype=np.float64)
z = np.abs(x.astype(np.float32))
ref = InferenceSession(
Expand All @@ -209,7 +207,6 @@ def test_astype_w2(self):
def test_astype0_w2(self):
f = absolute_inline(copy_inline(Input("A")).astype(DType(TensorProto.FLOAT)))
onx = f.to_onnx(constraints={"A": Float64[None]})
check_model(onx)
x = np.array(-5, dtype=np.float64)
z = np.abs(x.astype(np.float32))
ref = InferenceSession(
Expand Down