Support loading large model weights #7610
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…#7598) The loadWeights function loads weights in 4MB chunks and then concatenates them into a single large ArrayBuffer. That ArrayBuffer is used for splitting the weights data back up into tensors. Allocating large ArrayBuffers (3.5GB) can be unstable on Chrome, so this PR avoids this allocation, instead slicing the weights out of the chunks manually. The implementation wraps the array of weights (stored as ArrayBuffer[]) in a new CompositeArrayBuffer class. This class implements slice by copying the desired range out of the buffer(s) that it overlaps with.
chunnienc
approved these changes
Apr 21, 2023
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This is just for the lm branch. See #7609 for the real PR.
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