forked from pool/python-onnx
- update to 1.16.0 * Update to support int4 and uint4: + Cast, CastLike, Constant, ConstantOfShape, Identity, If, Loop, Reshape, Scan, Shape, Size * Update to support float8e4m3fnuz, float8e5m2, float8e5m2fnuz, int4 and uint4: + Flatten, Pad, Squeeze, Transpose, Unsqueeze * Support blocked quantization. Support int4, uint4, int16, and uint16: + DequantizeLinear, QuantizeLinear, * Support bfloat16 and float16 scales. Support float8e4m3fn, float8e4m3fnuz, float8e5m2, float8e5m2fnuz quantized tensors: + QLinearMatMul, * Add stash_type attribute and change input shape of scale and bias from (G) to (C) for GroupNormalization * ai.onnx.ml Opset 4 * Addeded new operator TreeEnsemble * IR Version 10 + Added support for UINT4, INT4 types + GraphProto, FunctionProto, NodeProto, TensorProto added metadata_props field + FunctionProto added value_info field + FunctionProto and NodeProto added overload field to support overloaded functions. - Security Updates * Fix path sanitization bypass leading to arbitrary read (CVE-2024-27318) * Fix Out of bounds read due to lack of string termination in assert (CVE-2024-27319) - Several Bug fixes and infrastructure improvements - removed python39 support OBS-URL: https://build.opensuse.org/request/show/1162838 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-onnx?expand=0&rev=43
4 lines
133 B
Plaintext
4 lines
133 B
Plaintext
version https://git-lfs.github.com/spec/v1
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size 12428161
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