Data Transfer Handling for Out-of-Bounds Tensor Padding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data processing systems face inefficiencies when handling input tensors that do not meet predetermined dimensions, leading to increased power consumption, resource usage, and reduced performance due to the need for additional processing and memory operations to pad or revert to less efficient implementations.
Innovation Solution
The system employs instruction decoding circuitry to handle out-of-bounds memory accesses by writing data from a source storage to a target storage, overwriting preloaded values in one portion while omitting out-of-bounds data in another portion, ensuring the target storage has the desired number of elements without additional padding steps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the system copies the input tensor in memory and manipulates the copied tensor to achieve the required dimension, then the dimension requirement is met, but additional processing and memory resources are required leading to increased power consumption and reduced performance
Solution Approach 1:
The target storage is preloaded with padding values before the data transfer operation. This preliminary action eliminates the need for subsequent padding operations, as the correct dimension is already established in the target storage. The system simply needs to transfer valid data to overwrite the preloaded padding values, avoiding additional processing steps and improving performance.
Solution Approach 2:
The patent separates the padding value storage from the data transfer operation. By preloading padding values into the target storage, the system extracts the padding function from the data transfer path, allowing the data transfer to proceed efficiently without dimensional manipulation overhead.
2Manufacturing precision
If the system copies the input tensor in memory and manipulates the copied tensor to achieve the required dimension, then the dimension requirement is met, but additional memory resources are required
Solution Approach 1:
Padding values are preloaded into the target storage before the data transfer operation. This eliminates the need to allocate additional memory for padding operations, as the target storage is already prepared with the correct dimension and values. The system only needs to transfer valid data to the appropriate locations.
3Adaptability or versatility
If the system reverts to another implementation of the operation using scalar processing and additional control flow, then the operation can be performed on insufficiently padded input, but less efficient implementations are used leading to increased power consumption and reduced performance
Solution Approach 1:
The target storage is preloaded with padding values before the data transfer operation, enabling efficient vector processing regardless of the input tensor's initial dimension. This preliminary preparation allows the system to maintain efficient implementation while accepting input tensors of varying dimensions, as the padding structure is already in place and does not require runtime scalar processing.
4Adaptability or versatility
If the system reverts to another implementation of the operation using scalar processing and additional control flow, then the operation can be performed on insufficiently padded input, but less efficient implementations are used leading to reduced performance
Solution Approach 1:
By preloading padding values into the target storage before the data transfer operation, the system enables efficient vector processing for input tensors of any dimension. The padding structure is prepared in advance, allowing the data transfer to proceed using efficient vector instructions rather than falling back to slower scalar processing with control flow, thus maintaining high performance while accepting flexible input dimensions.
Data Source
AI summary
Disclosed is an apparatus comprising: instruction decoding circuitry; data storage; and processing circuitry to process data responsive to an instruction decoded by instruction decoding circuitry configured to, responsive to a data transfer instruction specifying a data source and a region of the source to perform data transfer, control processing circuitry to: when the data transfer operation comprises an out-of-bounds memory access corresponding to an attempt to read data outside the indicated region of source storage, read data not associated with the out-of-bounds memory access from source storage and write data not associated with the out-of-bounds memory access to a first portion of target storage by overwriting preloaded values stored in the first portion of the target storage; and omit writing to a different second portion of the target storage data associated with the out-of-bounds memory access to preserve preloaded values stored in the second portion of target storage.