Abstract: Systems, methods, and computer-readable media are provided for signing and executing graphics processing unit (GPU) commands. In some examples, a method can include receiving, by a GPU, one or more commands including one or more verification signatures generated using a processor, each verification signature of the one or more verification signatures including a first value generated based on the one or more commands; generating, by the GPU, one or more additional verification signatures associated with the one or more commands, wherein each verification signature of the one or more additional verification signatures includes a second value generated by the GPU based on the one or more commands; and determining, by the GPU, a validity of the one or more commands based on a comparison of the one or more verification signatures and the one or more additional verification signatures.

Abstract: The present disclosure relates to methods and apparatus for machine learning processing. For example, disclosed techniques facilitate tile-based GPU machine learning acceleration. Aspects of the present disclosure can determine a tile size based on a memory size of a first memory and a job input size associated with executing a computational job. In some examples, the computational job may be one of a quantity of computational jobs configured to execute a machine learning primitive. Aspects of the present disclosure can also load, based on the tile size, input data associated with a batch of computational jobs from a second memory to the first memory. Further, aspects of the present disclosure can generate batch output data by executing the batch of computational jobs using the input data loaded to the first memory. Additionally, aspects of the present disclosure can store the generated batch output data to the second memory.

Abstract: A method for camera processing using a camera application programming interface (API) is described. A processor executing the camera API may be configured to receive instructions that specify a use case for a camera pipeline, the use case defining at least one or more processing engines of a plurality of processing engines for processing image data with the camera pipeline, wherein the plurality of processing engines includes one or more of fixed-function image signal processing nodes internal to a camera processor and one or more processing engines external to the camera processor. The processor may be further configured to route image data to the one or more processing engines specified by the instructions, and return the results of processing the image data with the one or more processing engines to the application.

Abstract: Methods, systems, and devices for processing are described. In some devices, a command processor (CP) block may determine a first workload type for processing by a graphics processing unit (GPU). The first workload type may be a low power-consuming workload type or a high power-consuming workload type. The CP block may signal a request to a graphics power management unit (GMU) of the GPU to update the upper clock rate of the GPU while processing the first workload type. The GMU may configure the upper clock rate of the GPU based on the request from the CP block and a current limit of the device, and the GPU may process the first workload type based on using the updated upper clock rate.

Abstract: A method for camera processing using a camera application programming interface (API) is described. A processor executing the camera API may be configured to receive instructions that specify a use case for a camera pipeline, the use case defining at least one or more processing engines of a plurality of processing engines for processing image data with the camera pipeline, wherein the plurality of processing engines includes one or more of fixed-function image signal processing nodes internal to a camera processor and one or more processing engines external to the camera processor. The processor may be further configured to route image data to the one or more processing engines specified by the instructions, and return the results of processing the image data with the one or more processing engines to the application.

Abstract: A method for camera processing using a camera application programming interface (API) is described. A processor executing the camera API may be configured to receive instructions that specify a use case for a camera pipeline, the use case defining at least one or more processing engines of a plurality of processing engines for processing image data with the camera pipeline, wherein the plurality of processing engines includes one or more of fixed-function image signal processing nodes internal to a camera processor and one or more processing engines external to the camera processor. The processor may be further configured to route image data to the one or more processing engines specified by the instructions, and return the results of processing the image data with the one or more processing engines to the application.

Abstract: A device comprising a graphics processing unit (GPU) includes a memory and at least one processor. The at least one processor may be configured to: receive a GPU command packet that indicates the GPU may select between a direct rendering mode or a binning rendering mode for a portion of a frame to be rendered by the GPU, determine whether to use the direct rendering mode or the binning rendering mode for the portion of the frame to be rendered by the GPU based on at least one of: information in the received command packet or a state of the GPU, and render the portion of the frame using the determined direct rendering mode or the binning rendering mode.

Abstract: A method for camera processing using a camera application programming interface (API) is described. A processor executing the camera API may be configured to receive instructions that specify a use case for a camera pipeline, the use case defining at least one or more processing engines of a plurality of processing engines for processing image data with the camera pipeline, wherein the plurality of processing engines includes one or more of fixed-function image signal processing nodes internal to a camera processor and one or more processing engines external to the camera processor. The processor may be further configured to route image data to the one or more processing engines specified by the instructions, and return the results of processing the image data with the one or more processing engines to the application.

Abstract: A device comprising a graphics processing unit (GPU) includes a memory and at least one processor. The at least one processor may be configured to: receive a GPU command packet that indicates the GPU may select between a direct rendering mode or a binning rendering mode for a portion of a frame to be rendered by the GPU, determine whether to use the direct rendering mode or the binning rendering mode for the portion of the frame to be rendered by the GPU based on at least one of: information in the received command packet or a state of the GPU, and render the portion of the frame using the determined direct rendering mode or the binning rendering mode.

Abstract: A device comprising a graphics processing unit (GPU) includes a memory and at least one processor. The at least one processor may be configured to: receive a GPU command packet that indicates the GPU may select between a direct rendering mode or a binning rendering mode for a portion of a frame to be rendered by the GPU, determine whether to use the direct rendering mode or the binning rendering mode for the portion of the frame to be rendered by the GPU based on at least one of: information in the received command packet or a state of the GPU, and render the portion of the frame using the determined direct rendering mode or the binning rendering mode.

Abstract: The present disclosure provides systems and methods for multi-path rendering on tile based architectures including executing, with a graphics processing unit (GPU), a query pass, executing, with the GPU, a condition true pass based on the query pass without executing a flush operation, executing, with the GPU, a condition false pass based on the query pass without executing a flush operation, and responsive to executing the condition true pass and the condition false pass, executing, with the GPU, a flush operation.

Abstract: In an example, a method for rendering graphics data includes receiving a plurality of commands associated with a plurality of render targets, where the plurality of commands are received in an initial order. The method also includes determining an execution order for the plurality of commands including reordering one or more of the plurality of commands in a different order than the initial order based on data dependencies between commands. The method also includes executing the plurality of commands in the determined execution order.

Abstract: A method and apparatus for ray tracing may include a method, manufacture and apparatus for ray tracing that may include dividing a render target into a plurality of bins. Next, a visibility pass is performed using ray tracing to generate a visibility stream such that the visibility stream indicates, for each bin of the plurality of bins, which primitives are visible in the bin. Then, for at least one bin of the plurality of bins, each primitive in the bin that is indicated in the visibility stream as being visible in the bin is rendered.

Abstract: An apparatus configured for graphics processing includes a memory configured to store graphics data, and one or more processors in communication with the memory, the one or more processors configured to output, for display, a plurality of test graphics images, receive input indicative of a perception of a user of the computing device of at least one test graphics image from the plurality of test graphics images, determine at least one parameter modification value and generate a corrected graphics image based at least in part on the at least one parameter modification value.

Abstract: A method and apparatus for ray tracing may include a method, manufacture and apparatus for ray tracing that may include dividing a render target into a plurality of bins. Next, a visibility pass is performed using ray tracing to generate a visibility stream such that the visibility stream indicates, for each bin of the plurality of bins, which primitives are visible in the bin. Then, for at least one bin of the plurality of bins, each primitive in the bin that is indicated in the visibility stream as being visible in the bin is rendered.

Abstract: An apparatus configured for graphics processing includes a memory configured to store graphics data, and one or more processors in communication with the memory, the one or more processors configured to output, for display, a plurality of test graphics images, receive input indicative of a perception of a user of the computing device of at least one test graphics image from the plurality of test graphics images, determine at least one parameter modification value and generate a corrected graphics image based at least in part on the at least one parameter modification value.

Abstract: The present disclosure provides systems and methods for multi-path rendering on tile based architectures including executing, with a graphics processing unit (GPU), a query pass, executing, with the GPU, a condition true pass based on the query pass without executing a flush operation, executing, with the GPU, a condition false pass based on the query pass without executing a flush operation, and responsive to executing the condition true pass and the condition false pass, executing, with the GPU, a flush operation.

Abstract: A GPU may determine, based on a visibility stream, whether to execute instructions stored in an indirect buffer. The instructions include instructions for rendering primitives associated with a bin of a plurality of bins and include one or more secondary operations. The visibility stream indicate if one or more of the primitives associated with the bin will be visible in a finally rendered scene. The GPU may, responsive to determining not to execute the instructions stored in the indirect buffer, execute one or more secondary operations stored in a shadow indirect buffer. The GPU may, responsive to determining to execute the instructions stored in the indirect buffer, execute the instructions for rending the primitives associated with the bin of the plurality of bins and executing the one or more secondary operations stored in the indirect buffer.

Abstract: The present disclosure provides systems and methods for multi-path rendering on tile based architectures including executing, with a graphics processing unit (GPU), a query pass, executing, with the GPU, a condition true pass based on the query pass without executing a flush operation, executing, with the GPU, a condition false pass based on the query pass without executing a flush operation, and responsive to executing the condition true pass and the condition false pass, executing, with the GPU, a flush operation.

Abstract: In an example, a method for rendering graphics data includes receiving a plurality of commands associated with a plurality of render targets, where the plurality of commands are received in an initial order. The method also includes determining an execution order for the plurality of commands including reordering one or more of the plurality of commands in a different order than the initial order based on data dependencies between commands. The method also includes executing the plurality of commands in the determined execution order.