Name of the caps feature for indicating the use of #GstCudaMemory Name of cuda memory type A #GstAllocator subclass for cuda memory Controls the active state of @allocator. Default #GstCudaAllocator is stateless and therefore active state is ignored, but subclass implementation (e.g., #GstCudaPoolAllocator) will require explicit active state control for its internal resource management. This method is conceptually identical to gst_buffer_pool_set_active method. %TRUE if active state of @allocator was successfully updated. a #GstCudaAllocator the new active state a newly allocated #GstCudaMemory a #GstCudaAllocator a #GstCudaContext a #GstCudaStream a #GstVideoInfo Allocates a new memory that wraps the given CUDA device memory. @info must represent actual memory layout, in other words, offset, stride and size fields of @info should be matched with memory layout of @dev_ptr By default, wrapped @dev_ptr will be freed at the time when #GstMemory is freed if @notify is %NULL. Otherwise, if caller sets @notify, freeing @dev_ptr is callers responsibility and default #GstCudaAllocator will not free it. a new #GstMemory a #GstCudaAllocator a #GstCudaContext a #GstCudaStream a #GstVideoInfo a CUdeviceptr CUDA device memory user data Called with @user_data when the memory is freed Controls the active state of @allocator. Default #GstCudaAllocator is stateless and therefore active state is ignored, but subclass implementation (e.g., #GstCudaPoolAllocator) will require explicit active state control for its internal resource management. This method is conceptually identical to gst_buffer_pool_set_active method. %TRUE if active state of @allocator was successfully updated. a #GstCudaAllocator the new active state %TRUE if active state of @allocator was successfully updated. a #GstCudaAllocator the new active state A newly created #GstCudaBufferPool The #GstCudaContext to use for the new buffer pool Create #GstCudaContext with given device_id a new #GstCudaContext or %NULL on failure device-id for creating #GstCudaContext Note: The caller is responsible for ensuring that the CUcontext and CUdevice represented by @handle and @device stay alive while the returned #GstCudaContext is active. A newly created #GstCudaContext A [CUcontext](https://docs.nvidia.com/cuda/cuda-driver-api/group__CUDA__TYPES.html#group__CUDA__TYPES_1gf9f5bd81658f866613785b3a0bb7d7d9) to wrap A [CUDevice](https://docs.nvidia.com/cuda/cuda-driver-api/group__CUDA__TYPES.html#group__CUDA__TYPES_1gf9f5bd81658f866613785b3a0bb7d7d9) to wrap Pops the current CUDA context from CPU thread %TRUE if @ctx was pushed without error. Query whether @ctx can access any memory which belongs to @peer directly. %TRUE if @ctx can access @peer directly a #GstCudaContext a #GstCudaContext Get CUDA device context. Caller must not modify and/or destroy returned device context. the `CUcontext` of @ctx a #GstCudaContext Get required texture alignment by device the `CUcontext` of @ctx a #GstCudaContext Pushes the given @ctx onto the CPU thread's stack of current contexts. The specified context becomes the CPU thread's current context, so all CUDA functions that operate on the current context are affected. %TRUE if @ctx was pushed without error. a #GstCudaContext to push current thread Free @resource a #GstCudaGraphicsResource Map previously registered resource with map flags the `CUgraphicsResource` if successful or %NULL when failed a #GstCudaGraphicsResource a CUstream a CUgraphicsMapResourceFlags @resource a #GstCudaGraphicsResource Register the @buffer for access by CUDA. Must be called from the gl context thread with current cuda context was pushed on the current thread whether @buffer was registered or not a GL buffer object a `CUgraphicsRegisterFlags` Unmap previously mapped resource a #GstCudaGraphicsResource a `CUstream` Unregister previously registered resource. For GL resource, this method must be called from gl context thread. Also, current cuda context should be pushed on the current thread before calling this method. a #GstCudaGraphicsResource Create new #GstCudaGraphicsResource with given @context and @type a new #GstCudaGraphicsResource. Free with gst_cuda_graphics_resource_free a #GstCudaContext a graphics API specific context object a #GstCudaGraphicsResourceType of resource registration Gets CUDA stream object associated with @mem a #GstCudaStream or %NULL if default CUDA stream is in use A #GstCudaMemory Creates CUtexObject with given parameters %TRUE if successful A #GstCudaMemory the plane index filter mode a pointer to CUtexObject object Gets back user data pointer stored via gst_cuda_memory_set_token_data() user data pointer or %NULL a #GstCudaMemory an user token Gets user data pointer stored via gst_cuda_allocator_alloc_wrapped() the user data pointer A #GstCudaMemory Sets an opaque user data on a #GstCudaMemory a #GstCudaMemory an user token an user data function to invoke with @data as argument, when @data needs to be freed Performs synchronization if needed A #GstCudaMemory Ensures that the #GstCudaAllocator is initialized and ready to be used. CUDA memory transfer flags A #GstCudaAllocator subclass for cuda memory pool Creates a new #GstCudaPoolAllocator instance. a new #GstCudaPoolAllocator instance a #GstCudaContext a #GstCudaStream a #GstVideoInfo Acquires a #GstMemory from @allocator. @memory should point to a memory location that can hold a pointer to the new #GstMemory. a #GstFlowReturn such as %GST_FLOW_FLUSHING when the allocator is inactive. a #GstCudaPoolAllocator a #GstMemory Creates a new #GstCudaStream a new #GstCudaStream or %NULL on failure a #GstCudaContext Get CUDA stream handle a `CUstream` handle of @stream or %NULL if @stream is %NULL a #GstCudaStream Increase the reference count of @stream. @stream a #GstCudaStream Decrease the reference count of @stream. a #GstCudaStream Flag indicating that we should map the CUDA device memory instead of to system memory. Combining #GST_MAP_CUDA with #GST_MAP_WRITE has the same semantics as though you are writing to CUDA device/host memory. Conversely, combining #GST_MAP_CUDA with #GST_MAP_READ has the same semantics as though you are reading from CUDA device/host memory the currently configured #GstCudaStream on @config or %NULL if @config doesn't hold #GstCudaStream a buffer pool config Sets @stream on @config a buffer pool config a #GstCudaStream Clears a reference to a #GstCudaStream. a pointer to a #GstCudaStream reference a new #GstContext embedding the @cuda_ctx a #GstCudaContext Creates new user token value user token value Perform the steps necessary for retrieving a #GstCudaContext from the surrounding elements or from the application using the #GstContext mechanism. If the content of @cuda_ctx is not %NULL, then no #GstContext query is necessary for #GstCudaContext. whether a #GstCudaContext exists in @cuda_ctx the #GstElement running the query preferred device-id, pass device_id >=0 when the device_id explicitly required. Otherwise, set -1. the resulting #GstCudaContext Create new #GstCudaGraphicsResource with given @context and @type a new #GstCudaGraphicsResource. Free with gst_cuda_graphics_resource_free a #GstCudaContext a graphics API specific context object a #GstCudaGraphicsResourceType of resource registration Whether the @query was successfully responded to from the passed @context. a #GstElement a #GstQuery of type %GST_QUERY_CONTEXT a #GstCudaContext Helper function for implementing #GstElementClass.set_context() in CUDA capable elements. Retrieves the #GstCudaContext in @context and places the result in @cuda_ctx. whether the @cuda_ctx could be set successfully a #GstElement a #GstContext preferred device-id, pass device_id >=0 when the device_id explicitly required. Otherwise, set -1. location of a #GstCudaContext Loads the cuda library %TRUE if the libcuda could be loaded %FALSE otherwise Ensures that the #GstCudaAllocator is initialized and ready to be used. Source code to compile Loads the nvrtc library. %TRUE if the library could be loaded, %FALSE otherwise the GQuark for given @id or 0 if @id is unknown value a #GstCudaQuarkId CUDA device API return code `CUresult` Check if @mem is a cuda memory A #GstMemory