[Good First Issue] [ARM]: Implement CPU plugin just-in-time emitter for Round operation

[a-sidorova]

Context

JIT Emitters are part of code generation feature (a.k.a. tensor compiler) that automatically produces highly-efficient optimized fused subgraph binary code. Each emitter implements specific operation from low level OpenVINO dialect.

Prerequisites

Recommended to use ARM CPU based platform for development (e.g. Mac, Raspberry Pi etc). Emulators (e.g. QEMU) is still an option, but not that convenient, especially for final performance evaluation.

What needs to be done?

• Create fp32 Round operation JIT emitter for ARM64 SIMD platform. Use OpenVINO CPU plugin JIT emitters documentation and Arm A-profile A64 Instruction Set Architecture documentation for details. Notice that the op Round has two modes of rounding: half_to_even and half_away_from_zero. The JIT emitter should support the both modes.
• Modify ARM64 executor and ARM64 kernel (in both places: create_eltwise_emitter and get_supported_precisions) to apply developed JIT emitter.

Before emitter implementation, please, modify tests to be sure that developed functionality is covered by test:

• Add jit kernel check in activation test, the test must fail.
• If test doesn't fail then add supported activation type (RoundHalfToEven and RoundHalfAwayFromZero) in CPU activation test instantiation if it's absent.
• For the better test coverage, update input generation algorithm to generate values with floating point.

Tests

Tests are disabled in default build, so ensure to add -DENABLE_TESTS=ON into cmake command.

GoogleTest is used for testing. CPU functional test target is ov_cpu_func_tests. You can use GoogleTest filter:

./bin/[platform]/[build_type]/ov_cpu_func_tests --gtest_filter="*smoke*Activation*Round*"

Example Pull Requests

• Abs operation: [CPU] [ARM64] jit abs #23692
• Sigmoid operation, which reuses Exp emitter: [CPU] [ARM64] jit sigmoid #23065

Resources

• Contribution guide - start here!
• What is OpenVINO?
• CPU plugin JIT emitters
• Blog post on contributing to OpenVINO
• User documentation
• Intel DevHub Discord channel - engage in discussions, ask questions and talk to OpenVINO developers
• How to link your Pull Request to an issue

Contact points

@a-sidorova, @dmitry-gorokhov