DETAILED ACTION
This office action is in response to the application filed on 07/26/2024.
Claims 1-6 are pending. Claims 1, 3 and 5 are independent.
Claim Rejections - 35 USC § 102
The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action:
A person shall be entitled to a patent unless –
(a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention.
Claims 1-6 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Wei et al. (U.S. Publication 2024/0296283; hereinafter “Wei”).
In regard to independent claims 1, 3 and 5, Wei teaches at least one computer-readable medium having stored thereon instructions that, when executed, cause a computing device to perform operations comprising: managing workloads (Paragraph 0004, lines 6-11; “Clarification: physical volumes of originals are reduced means workloads has been managed;”)using an Infrastructure Processing Unit (IPU); optimizing (Paragraph 0005, lines 5-7; “Clarification: improve is equivalent to optimize”) an artificial intelligence (Al) model for an accelerator managed by the IPU, wherein optimizing includes converting a high precision model to a compact low-precision model (Paragraph 0004, lines 4-6); deploying the optimized Al model to the accelerator for execution of an inference (Paragraph 0003, lines 11-12; “Clarification: mobile terminal is equivalent to interface”); and storing, at a local memory, data relating to the Al model optimization (Figure 13; paragraph 0015).
In regard to dependent claims 2, 4 and 6, Wei teaches optimizing includes converting a 32-bit floating point model to a 16-bit floating point model or an 8-bit integer type model (Paragraph 0004, lines 4-6).
Conclusion
The prior art made of record and not relied upon is considered pertinent to applicant's disclosure.
Sabat et al. U.S. Publication 2022/0261685 - Teaches optimizing model by means of converting high precision model (e.g. 16-bit floating point) to low precision model (e.g. 8-bit integer).
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/Reza Nabi/
Primary Examiner, Art Unit 2174
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