Efficient calling method and device for acceleration library in PyTorch framework
The invention discloses an efficient calling method and device for an acceleration library in a PyTorch framework, and relates to the technical field of efficient calling of acceleration libraries. During handle binding, a handle binding class is created in advance based on a singleton mode, a handl...
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Format | Patent |
Language | Chinese English |
Published |
27.02.2024
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Abstract | The invention discloses an efficient calling method and device for an acceleration library in a PyTorch framework, and relates to the technical field of efficient calling of acceleration libraries. During handle binding, a handle binding class is created in advance based on a singleton mode, a handle instance is generated only during first binding, the handle instance is directly taken out subsequently, and during video memory space calculation, a first cache class is created; the method comprises the following steps: creating a first cache class when a convolution algorithm is selected, calculating a video memory space of the convolution kernel parameter class only during first calculation, directly extracting the video memory space of the convolution kernel parameter class subsequently, creating a second cache class when the convolution algorithm is selected, selecting the convolution algorithm of the convolution kernel parameter class only during first selection, and directly extracting the convolution alg |
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AbstractList | The invention discloses an efficient calling method and device for an acceleration library in a PyTorch framework, and relates to the technical field of efficient calling of acceleration libraries. During handle binding, a handle binding class is created in advance based on a singleton mode, a handle instance is generated only during first binding, the handle instance is directly taken out subsequently, and during video memory space calculation, a first cache class is created; the method comprises the following steps: creating a first cache class when a convolution algorithm is selected, calculating a video memory space of the convolution kernel parameter class only during first calculation, directly extracting the video memory space of the convolution kernel parameter class subsequently, creating a second cache class when the convolution algorithm is selected, selecting the convolution algorithm of the convolution kernel parameter class only during first selection, and directly extracting the convolution alg |
Author | SUI YICHENG ZHANG YUZHI WANG HAOTIAN ZHANG ZHIQIANG SUN YUFEI SHI CHANGQING |
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Snippet | The invention discloses an efficient calling method and device for an acceleration library in a PyTorch framework, and relates to the technical field of... |
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Title | Efficient calling method and device for acceleration library in PyTorch framework |
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