yf711 d701dcd027 Fix Linux MultiGPU TensorRT CI (#15697) ... ### Description * Reverting default TensorRT version to 8.5 as temporary fix * Apart from that, this PR temporarily leaves this CI as a place to validate user behavior that uses TRT 8.5 with latest ORT ### Context * This CI pool equips 2xTesla M60 GPUs, which are no longer supported by TensorRT 8.6. * Currently, other CIs are using single-T4 VM but there's no VM with 2xT4 or other suitable dualGPU in the range. * Once we decide which VM instance for this CI to migrate to, TRT8.6 can be enabled on this CI * According to [Nvidia](https://docs.nvidia.com/deeplearning/tensorrt/release-notes/index.html): * TensorRT 8.5.3 was the last release supporting NVIDIA Kepler (SM 3.x) and NVIDIA Maxwell (SM 5.x) devices. *These devices are no longer supported in TensorRT 8.6*. NVIDIA Pascal (SM 6.x) devices are deprecated in TensorRT 8.6.		2023-04-26 10:01:33 -07:00
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android	[CoreML EP]Add broadcasting support for binary ops (#15187)	2023-04-11 13:50:45 -07:00
apple	Add iOS Swift Package Manager support (#15297)	2023-04-20 16:18:35 +10:00
azure-pipelines	[js/webgpu] following up for JSEP/WebGPU code cleanup (#15666)	2023-04-25 21:20:03 -07:00
js	Bump ruff in CI (#15533)	2023-04-17 10:11:44 -07:00
linux	Fix Linux MultiGPU TensorRT CI (#15697)	2023-04-26 10:01:33 -07:00
pai	softmax perf improvement pr1 - add more softmax related test (#15176)	2023-04-11 17:02:40 +08:00
windows	Update cuda 11.6 to 11.8 for Windows pipelines (#15684)	2023-04-25 20:23:57 -07:00
Doxyfile_csharp.cfg	Implement Optional Metadata support and C# test support (#15314)	2023-04-11 09:41:59 -07:00