26 lines
974 B
C++
26 lines
974 B
C++
#pragma once
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#include <ATen/ATen.h>
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#include <ATen/core/op_registration/op_registration.h>
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#include <torch/library.h>
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namespace at {
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// If an operator doesn't have a batching rule implemented then we fallback
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// to this implementation. The fallback only works on out-of-place operators
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// that return only tensors with new memory. (e.g., no in-place operators, no
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// view operations).
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//
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// The fallback effectively takes all of the BatchedTensors in `stack`, slices
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// them, and runs `op` on all of the corresponding slices to produce slices
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// of the outputs. The output slices then get `torch.stack`ed to create the
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// final returns.
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//
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// The performance of the fallback is not very good because it introduces an
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// extra copy from stacking the sliced outputs. Because of this, we prefer to
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// write batching rules for operators whenever possible.
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void batchedTensorForLoopFallback(
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const c10::OperatorHandle& op,
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torch::jit::Stack* stack);
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} // namespace at
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