| commit | 1adcebb07a94748b5d5f10dc647af4562686cd1a | [log] [tgz] |
|---|---|---|
| author | Ben Vanik <ben.vanik@gmail.com> | Wed Aug 24 18:14:42 2022 -0700 |
| committer | GitHub <noreply@github.com> | Wed Aug 24 18:14:42 2022 -0700 |
| tree | eb7e3c279908220a5cdad301f478e61934afaa61 | |
| parent | 8301a5c79e941204c72bcafeff1bff40999dcf85 [diff] | |
| parent | 7fe14373d020f0e59716d6727acd2a5ea0056bc9 [diff] |
Merge pull request #10181 from iree-org/benvanik-execute-commands Secondary command buffers can now be executed from primary command buffers via iree_hal_command_buffer_execute_commands. During recording of nested command buffers push descriptors can indirectly reference slots in a binding table provided with each execution request. This enables the same reusable command buffer to be executed many times with unique bindings (even with prior execution in-flight), which is a common pattern with queue-ordered allocations. In the future we could allow the indirect bindings on primary command buffers as well but that requires more work in each backend to support and for now making it nested-only lets us turn on the feature incrementally. For now nothing supports either nested or indirect bindings so this is pure plumbing. The compiler has the HAL ops modeled but nothing is lowering into them yet; a pass that memoizes portions of streams and sets up the indirect binding references is required. Progress on #10144. Bumps bytecode version due to HAL changes.
IREE (Intermediate Representation Execution Environment, pronounced as “eerie”) is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.
See our website for project details, user guides, and instructions on building from source.
IREE is still in its early phase. We have settled down on the overarching infrastructure and are actively improving various software components as well as project logistics. It is still quite far from ready for everyday use and is made available without any support at the moment. With that said, we welcome any kind of feedback on any communication channels!
See our website for more information.
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.