Ryanunderhill/rel 1.1.0 #2651
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Ryanunderhill/rel 1.1.0 #2651
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…ibly fix Java build issue
Fix random error caused by this.
Support opset verion 11 in reshape fusion
…#2605) Support opset 11 Squad model that is exported from PyTorch nightly. The embed layer uses Range op which is missed in the transformer.
Support subgraph of SQuAD model exported from pytorch with dynamic input axes
* Shortcut cuda Pad() when no padding is needed.
Special treatment for 2D, check same size as input image. And in 2d kernel, template use_expolation.
* Optimize cuda scatter() on 2D compatible. * Add some comments.
snnn
approved these changes
Dec 14, 2019
HectorSVC
approved these changes
Dec 14, 2019
tianleiwu
approved these changes
Dec 14, 2019
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Make sure fenced tensor could not reuse other tensor. (#2561)
Add support for opset 11 in reshape fusion (#2592)
Support opset 11 subgraph of Squad model in Embed Layer Normalization (#2605)
Allow providers to be set for InferenceSession at construction (#2606)
EmbedLayerNormalization Fusion For Dynamic Squad Model Opset 10 (#2613)
Improve Embed Layer Norm Fusion for SQuAD with static input shape (#2621)
Improve cuda expand() opeator's performance. (#2624)
Cuda pad optimize when no padding is needed. (#2625)
Improve performance of resize() in Nearest mode (#2626)
Optimize cuda scatter() on 2D compatible. (#2628)
fix float16 comparison in initializer (#2629)
epsilon attribute for layernormalization fusion (#2639)
Fix memory exception in Layer Norm Fusion (#2644)