WebMar 28, 2024 · Return the as_strided view of the storage tensor using input geometry. // // In step (2), if the output tensor does't have overlapping memory, we can // safely scatter (`storage.as_strided(output_geometry).copy_(grad)`); // otherwise, we must use `index_add` as gradients at different indices may need // to be summed to a single location. // WebMar 19, 2024 · copy the data (possibly partially) into a host-mappable buffer (or two, in case of copying between device-local buffers). There we can update the attributes we want and …
Strided buffer copy for modifying interleaved vertex …
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Memory Alignment — NumPy v1.17 Manual
WebApr 18, 2024 · The first one is also known as strided convolution and the second one as average pooling. As we discuss in Section 3.3 and Fig. 3, strided convolution leads to misalignment; we therefore use average pooling to approximate this value for the rest of the paper. that average pooling is chosen over strided convolution for the rest of the paper. WebIn the next example we convert a 2D Tensor with default dense (strided) layout to a 2D Tensor backed by the COO memory layout. Only values and indices of non-zero elements are stored in this case. ... Creates a strided copy of self if self is not a strided tensor, otherwise returns self. Tensor.values. Return the values tensor of a sparse COO ... WebParameters: input ( Tensor) – the input tensor. size ( tuple or ints) – the shape of the output tensor. stride ( tuple or ints) – the stride of the output tensor. storage_offset ( int, optional) – the offset in the underlying storage of the output tensor. If None, the storage_offset of the output tensor will match the input tensor. fox bay group