Support FP16 as intermediate results in graph computation#16270
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hipudding wants to merge 1 commit intoggml-org:masterfrom
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Support FP16 as intermediate results in graph computation#16270hipudding wants to merge 1 commit intoggml-org:masterfrom
hipudding wants to merge 1 commit intoggml-org:masterfrom
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This commit is a demo aimed at using FP16 as the data type for intermediate results in graph inference, reducing computation and improving inference speed. Verification was conducted with the CANN backend on Qwen2.5, Qwen3-MoE, and DeepSeek-Lite-V2, showing performance improvements of 3%–10% depending on the concurrency and model. The main changes include modifying operators involved in graph by replacing hardcoded FP32 data types with type inference based on input, adding FP16 support for GET_ROWS, and casting t_embd and t_logits back to FP32 at the end of inference. In fact, this is only a very basic validation. For full FP16 support, the following are still needed: 1. Modify all operators that currently hardcode FP32 to perform type inference based on the data type. 2. Add FP16 support to all backend operators. 3. Extend test cases to include FP16 data types. Co-authored-by: noemotiovon <757486878@qq.com>
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This commit is a demo aimed at using FP16 as the data type for intermediate results in graph inference, reducing computation and improving inference speed. Verification was conducted with the CANN backend on Qwen2.5, Qwen3-MoE, and DeepSeek-Lite-V2, showing performance improvements of 3%–10% depending on the concurrency and model. with #16251
The main changes include modifying operators involved in graph by replacing hardcoded FP32 data types with type inference based on input, adding FP16 support for GET_ROWS, and casting t_embd and t_logits back to FP32 at the end of inference.
In fact, this is only a very basic validation. For full FP16 support, the following are still needed:
Discussion is here #16271
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