poplase.blogg.se - Release notes labelview 2015

#RELEASE NOTES LABELVIEW 2015 INSTALL#
#RELEASE NOTES LABELVIEW 2015 DRIVER#

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.

#RELEASE NOTES LABELVIEW 2015 INSTALL#

Skipped on Windows (when using the interactive or silent installation) or onįor more information on customizing the install process on Windows, see.

#RELEASE NOTES LABELVIEW 2015 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