chore: import upstream snapshot with attribution
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/*
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Copyright (c) Microsoft Corporation.
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Licensed under the MIT License.
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*/
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#include <torch/extension.h>
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#include <vector>
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/*
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CPP Binding for CUDA OP
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*/
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// CUDA forward declarations
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torch::Tensor ngram_repeat_block_cuda_forward(torch::Tensor tokens,
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torch::Tensor lprobs, int bsz,
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int step, int beam_size,
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int no_repeat_ngram_size);
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#define CHECK_CUDA(x) \
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TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
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#define CHECK_CONTIGUOUS(x) \
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TORCH_CHECK(x.is_contiguous(), #x " must be contiguous")
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#define CHECK_INPUT(x) \
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CHECK_CUDA(x); \
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CHECK_CONTIGUOUS(x)
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// Input check and call to CUDA OP
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// Backward method not required
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torch::Tensor ngram_repeat_block_forward(torch::Tensor tokens,
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torch::Tensor lprobs, int bsz,
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int step, int beam_size,
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int no_repeat_ngram_size) {
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CHECK_INPUT(tokens);
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CHECK_INPUT(lprobs);
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assert(bsz > 0);
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assert(step >= 0);
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assert(beam_size > 0);
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assert(no_repeat_ngram_size > 0);
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return ngram_repeat_block_cuda_forward(tokens, lprobs, bsz, step, beam_size,
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no_repeat_ngram_size);
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}
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PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
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m.def("forward", &ngram_repeat_block_forward,
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"No Repeat Ngram Block forward (CUDA)");
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}
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