module `npy.xop_opset`#

Short summary#

module mlprodict.npy.xop_opset

Xop API to build onnx graphs. Inspired from sklearn-onnx.

function	truncated documentation
`OnnxReduceAnyApi18`	Adds operator Reduce* with opset>=18 following API from opset 17.
`OnnxReduceL2_typed`	Adds operator ReduceL2 for float or double.
`OnnxReduceMeanApi18`	Adds operator ReduceMean with opset>=18 following API from opset 17.
`OnnxReduceSumApi11`	Adds operator ReduceSum with opset>=13 following API from opset 12.
`OnnxReduceSumSquareApi18`	Adds operator ReduceSumSquare with opset>=18 following API from opset 17.
`OnnxReshapeApi13`	Adds operator Reshape with opset>=14 following API from opset 13.
`OnnxSplitApi11`	Adds operator Split with opset>=13 following API from opset 11.
`OnnxSqueezeApi11`	Adds operator Squeeze with opset>=13 following API from opset 11.
`OnnxUnsqueezeApi11`	Adds operator Unsqueeze with opset>=13 following API from opset 11.

Xop API to build onnx graphs. Inspired from sklearn-onnx.

New in version 0.9.

mlprodict.npy.xop_opset.OnnxReduceAnyApi18(cl18, cl13, cl11, cl1, *x, axes=None, keepdims=1, op_version=None, output_names=None)#

Adds operator Reduce* with opset>=18 following API from opset 17.

mlprodict.npy.xop_opset.OnnxReduceL2_typed(dtype, x, axes=None, keepdims=1, op_version=None, output_names=None)#

Adds operator ReduceL2 for float or double.

mlprodict.npy.xop_opset.OnnxReduceMeanApi18(*x, axes=None, keepdims=1, op_version=None, output_names=None)#

Adds operator ReduceMean with opset>=18 following API from opset 17.

mlprodict.npy.xop_opset.OnnxReduceSumApi11(*x, axes=None, keepdims=1, op_version=None, output_names=None)#

Adds operator ReduceSum with opset>=13 following API from opset 12.

mlprodict.npy.xop_opset.OnnxReduceSumSquareApi18(*x, axes=None, keepdims=1, op_version=None, output_names=None)#

Adds operator ReduceSumSquare with opset>=18 following API from opset 17.

mlprodict.npy.xop_opset.OnnxReshapeApi13(*x, allowzero=0, op_version=None, output_names=None)#

Adds operator Reshape with opset>=14 following API from opset 13.

mlprodict.npy.xop_opset.OnnxSplitApi11(*x, axis=0, split=None, op_version=None, output_names=None)#

Adds operator Split with opset>=13 following API from opset 11.

mlprodict.npy.xop_opset.OnnxSqueezeApi11(*x, axes=None, op_version=None, output_names=None)#

Adds operator Squeeze with opset>=13 following API from opset 11.

mlprodict.npy.xop_opset.OnnxUnsqueezeApi11(*x, axes=None, op_version=None, output_names=None)#

Adds operator Unsqueeze with opset>=13 following API from opset 11.