Fixing jitlto regression, including missing cuDLA source files for bug #235, and updating changelogs

This commit is contained in:
Rob Nertney
2023-11-09 16:52:00 +00:00
parent b5c84e6996
commit e8568c4173
223 changed files with 2514 additions and 508 deletions

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@@ -27,7 +27,7 @@ cudaHostAlloc, cudaMemcpy, cudaMalloc, cudaMemcpyAsync, cudaFree, cudaGetErrorSt
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

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@@ -30,7 +30,7 @@ cudaRuntimeGetVersion, cudaGetErrorString, cudaDeviceCanAccessPeer, cudaSetDevic
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

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@@ -30,7 +30,7 @@ cudaSetDevice
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

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@@ -27,7 +27,7 @@ cudaGetDeviceCount, cudaDeviceGetAttribute
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run