Tensor shape optimization to avoid allocating heap memory in most cases - #9542.ARM64: new kernels for depthwise quantized Conv.X64: new kernels - including avx2, avxvnni, avx512 and avx 512 vnni, for general and depthwise quantized Conv.The method leverages in-direct buffer instead of memcpy'ing the original data and doesn’t need to compute the sum of each pixel of output image for quantized Conv. Introduced indirect Convolution method for QLinearConv which has symmetrically quantized filter, i.e., filter type is int8 and zero point of filter is 0.Support for plug-in custom thread creation and join functions to enable usage of external threads.Since 3.6 is end-of-life in December 2021, it will no longer be supported from next release (ORT 1.11) onwards Python 3.6 support removed for Mac builds.InferenceSession('model.onnx', providers=) As noted in the deprecation notice in ORT 1.9, InferenceSession now requires the providers parameters to be set when enabling Execution Providers other than default CPUExecutionProvider.Į.g.
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