Fixed out-of-bound access in GEMM and Matmul functions, when split K.cublasLtMatrixTransform can now operate on matrices with dimensions.Pointers could only be aligned by 8-byte boundary. InputGEMMs which might require 16-byte alignment, and array of These checks are irrelevant and will beĭisabled in future releases. The input/output arrays of the pointers like they were the pointers cublasGemmBatchedEx() and cublasgemmBatched() check the alignment of.The cuBLAS status ( cublasStatus_t) respectively.ĬublasLtGetStatusString() have been added to New auxiliary functions cublasGetStatusName(),ĬublasGetStatusString() have been added toĬuBLAS that return the string representation and the description of.Gradients based on matrices A and B respectively. New epilogue options have been added to support fusion inĬUBLASLT_EPILOGUE_BGRADB which compute bias.Vector (and batched) alpha support for per-row scaling in TN int32ĬUBLASLT_POINTER_MODE_ALPHA_DEVICE_VECTOR_BETA_HOSTĬUBLASLT_MATMUL_DESC_ALPHA_VECTOR_BATCH_STRIDE.
#REASON 10.3 RELEASE NOTES INSTALL#
Skipped on Windows (when using the interactive or silent installation) or onįor more information on customizing the install process on Windows, see.
#REASON 10.3 RELEASE NOTES DRIVER#
Recommended for use in production with Tesla GPUs.įor running CUDA applications in production with Tesla GPUs, it is recommended toĭownload the latest driver for Tesla GPUs from the NVIDIA driver downloads site atĭuring the installation of the CUDA Toolkit, the installation of the NVIDIA driver may be Note that this driver is for development purposes and is not CUDA Toolkit and Corresponding Driver Versions CUDA ToolkitĬUDA 10.1 (10.1.105 general release, and updates)įor convenience, the NVIDIA driver is installed as part of the CUDA Toolkit The minimum required driver version for CUDA minor version compatibility is shown below.ĬUDA minor version compatibility is described in detail in Versioned, and the toolkit itself is versioned as shown in the table Note: Starting with CUDA 11.0, the toolkit components are individually More information on compatibility can be found at. The CUDA driver is backward compatible, meaning that applications compiled againstĪ particular version of the CUDA will continue to work on subsequent (later) Įach release of the CUDA Toolkit requires a minimum version of the CUDA driver. Information various GPU products that are CUDA capable, visit.
Running a CUDA application requires the system with at least one CUDA capable GPUĪnd a driver that is compatible with the CUDA Toolkit. CUDA 11.5 Component Versions Component Name I would imagine that the "it wasn't me, it was the car and I retook control as quickly as I could" would not fly as an excuse and I'm almost certain that someone is going to get a ticket because of something FSD does as the beta rolls out more widely, because no matter how quickly you retake control, there can be moments where it does something stupid and dangerous that happens in the instant before you retake control to correct.Table 1. So then I thought if a cop saw me and pulled me over, even though I was completely sober i could certainly get a ticket for that. So I retake control and hit the report button and turn FSD back on after about 1/4 mile and it does it again on another section of road and I'm thinking that the people behind me must think I'm drunk based on how FSD was driving. Yeah, driving home tonight on a well-marked, straight road, and the car just randomly drifts to the right, over the white line, and then see,s like it's re-entering and yanks the car over the double-yellow.