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jywu-msft
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Feb 25, 2021
yufenglee
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Feb 25, 2021
oliviajain
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Feb 25, 2021
…r quantization calibration (#6788) * Make keepdims to its default value when adding ReduceMin/ReduceMax * Fix bug for adding ReduceMin/ReduceMax with keepdims=1
oliviajain
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Fix longformer parity and perf regression (#6760) … Adding fp16 support for Einsum Cuda kernel (#6775) … Update DirectML 1.4.1 to 1.4.2 for ORT 1.7 (#6780) … Fix regression in constant folding optimizer (#6795) Update transformers benchmark for transformers 4.3.* and ORT 1.7 (#6796) … Make keepdims to its default value when adding ReduceMin/ReduceMax fo (#6788)… … fix issues caused by quantize/calibrate changes (#6802) 6735 and 6728 already in release branch Co-authored-by: Tianlei Wu <tlwu@microsoft.com> Co-authored-by: Ye Wang <52801275+wangyems@users.noreply.github.com> Co-authored-by: Ori Levari <orlevari@microsoft.com> Co-authored-by: Hariharan Seshadri <shariharan91@gmail.com> Co-authored-by: Chi Lo <54722500+chilo-ms@users.noreply.github.com> Co-authored-by: stevenlix <38092805+stevenlix@users.noreply.github.com>
pranav-prakash
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Apr 2, 2021
Also backport upstream: microsoft/onnxruntime#6788 microsoft/onnxruntime#6893 for reduce dims
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Description:
Previously we set keepdims to 0 which could cause error when some input tensor is 0.
Change to keepdims's default value.
Motivation and Context