注意
转到末尾 下载完整的示例代码。
opset 号是多少？¶
每个库都有版本。 scikit-learn 可能会更改特定模型的实现。例如，这会发生在 SVC 模型上，其中参数 break_ties 在 0.22 中被添加。 ONNX 也有一个称为 opset 号 的版本。操作符 ArgMin 在 opset 1 中添加，并在 opset 11、12、13 中进行了更改。有时，它会被更新以扩展其支持的类型列表，有时，它会将一个参数移到输入列表中。用于部署模型的运行时不实现新版本，在这种情况下，模型必须通过通常使用运行时支持的最新 opset 进行转换，我们称之为 目标 opset。ONNX 图只包含一个唯一的 opset，每个节点必须遵循目标 opset 以下的最新 opset 定义的规范。
此示例考虑了一个 IsolationForest 并深入研究 opsets。
数据¶
一个简单的例子。
from onnx.defs import onnx_opset_version
from skl2onnx import to_onnx
import numpy
import matplotlib.pyplot as plt
from sklearn.ensemble import IsolationForest
from sklearn.datasets import make_blobs
X, y = make_blobs(n_samples=100, n_features=2)
model = IsolationForest(n_estimators=3)
model.fit(X)
labels = model.predict(X)
fig, ax = plt.subplots(1, 1)
for k in (-1, 1):
ax.plot(X[labels == k, 0], X[labels == k, 1], "o", label="cl%d" % k)
ax.set_title("Sample")
ONNX¶
onx = to_onnx(
model, X[:1].astype(numpy.float32), target_opset={"": 15, "ai.onnx.ml": 2}
)
print(onx)
ir_version: 8
producer_name: "skl2onnx"
producer_version: "1.19.1"
domain: "ai.onnx"
model_version: 0
doc_string: ""
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output {
name: "scores"
type {
tensor_type {
elem_type: 1
shape {
dim {
}
dim {
dim_value: 1
}
}
}
}
}
}
opset_import {
domain: "ai.onnx.ml"
version: 2
}
opset_import {
domain: ""
version: 15
}
最后一行显示了 opsets。让我们提取它。
domains = onx.opset_import
for dom in domains:
print("domain: %r, version: %r" % (dom.domain, dom.version))
domain: 'ai.onnx.ml', version: 2
domain: '', version: 15
有两个 opsets，一个用于标准操作符，另一个用于机器学习操作符。
ONNX and opset¶
转换器可以将模型转换为比默认值更旧的 opset，从 1 到最后一个可用。
def get_domain_opset(onx):
domains = onx.opset_import
res = [{"domain": dom.domain, "version": dom.version} for dom in domains]
return {d["domain"]: d["version"] for d in res}
for opset in range(6, onnx_opset_version() + 1):
try:
onx = to_onnx(
model,
X[:1].astype(numpy.float32),
target_opset={"": opset, "ai.onnx.ml": 2},
)
except RuntimeError as e:
print("target: %r error: %r" % (opset, e))
continue
nodes = len(onx.graph.node)
print("target: %r --> %s %d" % (opset, get_domain_opset(onx), nodes))
target: 6 --> {'ai.onnx.ml': 2, '': 6} 91
target: 7 --> {'ai.onnx.ml': 2, '': 7} 91
target: 8 --> {'ai.onnx.ml': 2, '': 8} 91
target: 9 --> {'ai.onnx.ml': 2, '': 9} 91
target: 10 --> {'ai.onnx.ml': 2, '': 10} 91
target: 11 --> {'ai.onnx.ml': 2, '': 11} 91
target: 12 --> {'': 12, 'ai.onnx.ml': 2} 91
target: 13 --> {'ai.onnx.ml': 2, '': 13} 91
target: 14 --> {'ai.onnx.ml': 2, '': 14} 91
target: 15 --> {'ai.onnx.ml': 2, '': 15} 91
target: 16 --> {'ai.onnx.ml': 2, '': 16} 91
target: 17 --> {'ai.onnx.ml': 2, '': 17} 91
target: 18 --> {'ai.onnx.ml': 2, '': 18} 91
target: 19 --> {'ai.onnx.ml': 2, '': 19} 91
target: 20 --> {'ai.onnx.ml': 2, '': 20} 91
target: 21 --> {'ai.onnx.ml': 2, '': 21} 91
/home/xadupre/github/sklearn-onnx/skl2onnx/common/_topology.py:1654: UserWarning: Parameter target_opset 22 > 21 is higher than the the latest tested version.
warnings.warn(
target: 22 error: RuntimeError("The model is using version 22 of domain '' not supported yet by this library. You need to specify target_opset={'': 21}.")
/home/xadupre/github/sklearn-onnx/skl2onnx/common/_topology.py:1654: UserWarning: Parameter target_opset 23 > 21 is higher than the the latest tested version.
warnings.warn(
target: 23 error: RuntimeError("The model is using version 23 of domain '' not supported yet by this library. You need to specify target_opset={'': 21}.")
/home/xadupre/github/sklearn-onnx/skl2onnx/common/_topology.py:1654: UserWarning: Parameter target_opset 24 > 21 is higher than the the latest tested version.
warnings.warn(
target: 24 error: RuntimeError("The model is using version 24 of domain '' not supported yet by this library. You need to specify target_opset={'': 21}.")
这表明该模型无法在 opset 低于 5 的情况下进行转换。操作符 Reshape 在 opset 5 中发生了更改：一个参数变成了输入。转换器不支持 opset < 5，因为运行时通常也不支持。
其他 opsets¶
上一个示例更改了主域 '' 的 opset，但也可以更改其他 opset 域。
for opset in range(9, onnx_opset_version() + 1):
for opset_ml in range(1, 4):
tops = {"": opset, "ai.onnx.ml": opset_ml}
try:
print("try target_opset:", tops)
onx = to_onnx(model, X[:1].astype(numpy.float32), target_opset=tops)
except RuntimeError as e:
print("target: %r error: %r" % (opset, e))
continue
nodes = len(onx.graph.node)
print("target: %r --> %s %d" % (opset, get_domain_opset(onx), nodes))
try target_opset: {'': 9, 'ai.onnx.ml': 1}
target: 9 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 9, 'ai.onnx.ml': 2}
target: 9 --> {'ai.onnx.ml': 2, '': 9} 91
try target_opset: {'': 9, 'ai.onnx.ml': 3}
target: 9 --> {'ai.onnx.ml': 3, '': 9} 91
try target_opset: {'': 10, 'ai.onnx.ml': 1}
target: 10 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 10, 'ai.onnx.ml': 2}
target: 10 --> {'ai.onnx.ml': 2, '': 10} 91
try target_opset: {'': 10, 'ai.onnx.ml': 3}
target: 10 --> {'ai.onnx.ml': 3, '': 10} 91
try target_opset: {'': 11, 'ai.onnx.ml': 1}
target: 11 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 11, 'ai.onnx.ml': 2}
target: 11 --> {'ai.onnx.ml': 2, '': 11} 91
try target_opset: {'': 11, 'ai.onnx.ml': 3}
target: 11 --> {'ai.onnx.ml': 3, '': 11} 91
try target_opset: {'': 12, 'ai.onnx.ml': 1}
target: 12 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 12, 'ai.onnx.ml': 2}
target: 12 --> {'': 12, 'ai.onnx.ml': 2} 91
try target_opset: {'': 12, 'ai.onnx.ml': 3}
target: 12 --> {'': 12, 'ai.onnx.ml': 3} 91
try target_opset: {'': 13, 'ai.onnx.ml': 1}
target: 13 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 13, 'ai.onnx.ml': 2}
target: 13 --> {'ai.onnx.ml': 2, '': 13} 91
try target_opset: {'': 13, 'ai.onnx.ml': 3}
target: 13 --> {'': 13, 'ai.onnx.ml': 3} 91
try target_opset: {'': 14, 'ai.onnx.ml': 1}
target: 14 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 14, 'ai.onnx.ml': 2}
target: 14 --> {'ai.onnx.ml': 2, '': 14} 91
try target_opset: {'': 14, 'ai.onnx.ml': 3}
target: 14 --> {'': 14, 'ai.onnx.ml': 3} 91
try target_opset: {'': 15, 'ai.onnx.ml': 1}
target: 15 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 15, 'ai.onnx.ml': 2}
target: 15 --> {'ai.onnx.ml': 2, '': 15} 91
try target_opset: {'': 15, 'ai.onnx.ml': 3}
target: 15 --> {'ai.onnx.ml': 3, '': 15} 91
try target_opset: {'': 16, 'ai.onnx.ml': 1}
target: 16 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 16, 'ai.onnx.ml': 2}
target: 16 --> {'ai.onnx.ml': 2, '': 16} 91
try target_opset: {'': 16, 'ai.onnx.ml': 3}
target: 16 --> {'': 16, 'ai.onnx.ml': 3} 91
try target_opset: {'': 17, 'ai.onnx.ml': 1}
target: 17 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 17, 'ai.onnx.ml': 2}
target: 17 --> {'ai.onnx.ml': 2, '': 17} 91
try target_opset: {'': 17, 'ai.onnx.ml': 3}
target: 17 --> {'ai.onnx.ml': 3, '': 17} 91
try target_opset: {'': 18, 'ai.onnx.ml': 1}
target: 18 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 18, 'ai.onnx.ml': 2}
target: 18 --> {'ai.onnx.ml': 2, '': 18} 91
try target_opset: {'': 18, 'ai.onnx.ml': 3}
target: 18 --> {'ai.onnx.ml': 3, '': 18} 91
try target_opset: {'': 19, 'ai.onnx.ml': 1}
target: 19 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 19, 'ai.onnx.ml': 2}
target: 19 --> {'ai.onnx.ml': 2, '': 19} 91
try target_opset: {'': 19, 'ai.onnx.ml': 3}
target: 19 --> {'ai.onnx.ml': 3, '': 19} 91
try target_opset: {'': 20, 'ai.onnx.ml': 1}
target: 20 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 20, 'ai.onnx.ml': 2}
target: 20 --> {'ai.onnx.ml': 2, '': 20} 91
try target_opset: {'': 20, 'ai.onnx.ml': 3}
target: 20 --> {'': 20, 'ai.onnx.ml': 3} 91
try target_opset: {'': 21, 'ai.onnx.ml': 1}
target: 21 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 21, 'ai.onnx.ml': 2}
target: 21 --> {'ai.onnx.ml': 2, '': 21} 91
try target_opset: {'': 21, 'ai.onnx.ml': 3}
target: 21 --> {'ai.onnx.ml': 3, '': 21} 91
try target_opset: {'': 22, 'ai.onnx.ml': 1}
/home/xadupre/github/sklearn-onnx/skl2onnx/common/_topology.py:1654: UserWarning: Parameter target_opset 22 > 21 is higher than the the latest tested version.
warnings.warn(
target: 22 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 22, 'ai.onnx.ml': 2}
target: 22 error: RuntimeError("The model is using version 22 of domain '' not supported yet by this library. You need to specify target_opset={'': 21}.")
try target_opset: {'': 22, 'ai.onnx.ml': 3}
/home/xadupre/github/sklearn-onnx/skl2onnx/common/_topology.py:1654: UserWarning: Parameter target_opset 22 > 21 is higher than the the latest tested version.
warnings.warn(
target: 22 error: RuntimeError("The model is using version 22 of domain '' not supported yet by this library. You need to specify target_opset={'': 21}.")
try target_opset: {'': 23, 'ai.onnx.ml': 1}
/home/xadupre/github/sklearn-onnx/skl2onnx/common/_topology.py:1654: UserWarning: Parameter target_opset 23 > 21 is higher than the the latest tested version.
warnings.warn(
target: 23 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 23, 'ai.onnx.ml': 2}
target: 23 error: RuntimeError("The model is using version 23 of domain '' not supported yet by this library. You need to specify target_opset={'': 21}.")
try target_opset: {'': 23, 'ai.onnx.ml': 3}
/home/xadupre/github/sklearn-onnx/skl2onnx/common/_topology.py:1654: UserWarning: Parameter target_opset 23 > 21 is higher than the the latest tested version.
warnings.warn(
target: 23 error: RuntimeError("The model is using version 23 of domain '' not supported yet by this library. You need to specify target_opset={'': 21}.")
try target_opset: {'': 24, 'ai.onnx.ml': 1}
/home/xadupre/github/sklearn-onnx/skl2onnx/common/_topology.py:1654: UserWarning: Parameter target_opset 24 > 21 is higher than the the latest tested version.
warnings.warn(
target: 24 error: RuntimeError("This converter requires at least opset 2 for domain 'ai.onnx.ml'.")
try target_opset: {'': 24, 'ai.onnx.ml': 2}
target: 24 error: RuntimeError("The model is using version 24 of domain '' not supported yet by this library. You need to specify target_opset={'': 21}.")
try target_opset: {'': 24, 'ai.onnx.ml': 3}
/home/xadupre/github/sklearn-onnx/skl2onnx/common/_topology.py:1654: UserWarning: Parameter target_opset 24 > 21 is higher than the the latest tested version.
warnings.warn(
target: 24 error: RuntimeError("The model is using version 24 of domain '' not supported yet by this library. You need to specify target_opset={'': 21}.")
脚本总运行时间： (0 分钟 1.413 秒)