Communication method and communication apparatus
OwnerYiqun Ge, Hao Tang +1inventors
InventorsYiqun Ge, Hao Tang, Jianglei Ma
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Abstract
Embodiments of the present application provide a communication method and a communication apparatus. The communication method includes: obtaining Q group(s) of first data sample(s) corresponding to Q layer(s) of an AI model, where the Q group(s) of the first data sample(s) is from compressed Q group(s) of first raw data sample(s) which is compressed according to Q transformation matrix(es), the Q group(s) of the first data sample(s) is related to an inference cycle of the AI model, and Q is a positive integer; and sending the Q group(s) of the first data sample(s).
Claims20
A communication method, comprising:
- obtaining Q group(s) of first data sample(s) corresponding to Q layer(s) of an artificial intelligence (AI) model, wherein the Q group(s) of the first data sample(s) is from compressed Q group(s) of first raw data sample(s) compressed according to Q transformation matrix(es), the Q group(s) of the first data sample(s) is related to an inference cycle of the AI model, and Q is a positive integer;
- and
- sending the Q group(s) of the first data sample(s).
An apparatus, comprising:
- at least one processor coupled with a memory storing instructions that, when executed by the at least one processor, cause the apparatus to perform operations, wherein the operations comprise:
- obtaining Q group(s) of first data sample(s) corresponding to Q layer(s) of an artificial intelligence (AI) model, wherein the Q group(s) of the first data sample(s) is from compressed Q group(s) of first raw data sample(s) compressed according to Q transformation matrix(es), the Q group(s) of the first data sample(s) is related to an inference cycle of the AI model, and Q is a positive integer;
- and
- sending the Q group(s) of the first data sample(s).
An apparatus, comprising:
- at least one processor coupled with a memory storing instructions that, when executed by the at least one processor, cause the apparatus to perform operations, wherein the operations comprise:
- receiving Q group(s) of first data sample(s) corresponding to Q layer(s) of an artificial intelligence (AI) model, wherein the Q group(s) of the first data sample(s) is from compressed Q group(s) of first raw data sample(s) compressed according to Q transformation matrix(es), the Q group(s) of the first data sample(s) is related to an inference cycle of the AI model, and Q is a positive integer.
Dependencies are inferred from the claim text.