43 lines
1.3 KiB
Plaintext
43 lines
1.3 KiB
Plaintext
#pragma once
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#include <torch/extension.h>
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#include "gqa_common.cuh"
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inline void gqa_pack_params(
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torch::Tensor q,
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torch::Tensor k,
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torch::Tensor v,
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c10::optional<torch::Tensor> mask,
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bool is_causal,
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int64_t causal_offset,
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c10::optional<double> scale,
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GQAParams& p
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) {
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TORCH_CHECK(q.is_cuda() && k.is_cuda() && v.is_cuda());
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TORCH_CHECK(q.dtype() == torch::kBFloat16);
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TORCH_CHECK(k.dtype() == torch::kBFloat16);
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TORCH_CHECK(v.dtype() == torch::kBFloat16);
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p.batch = (int)q.size(0);
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p.q_head = (int)q.size(1);
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p.kv_head = (int)k.size(1);
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p.q_len = (int)q.size(2);
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p.kv_len = (int)k.size(2);
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p.head_dim = (int)q.size(3);
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p.use_mask = mask.has_value() ? 1 : 0;
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p.is_causal = is_causal ? 1 : 0;
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p.causal_offset = (int)causal_offset;
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p.scale = scale.has_value() ? (float)scale.value() : 1.0f / sqrtf((float)p.head_dim);
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p.q = (const bf16*)q.data_ptr();
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p.k = (const bf16*)k.data_ptr();
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p.v = (const bf16*)v.data_ptr();
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if (p.use_mask) {
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TORCH_CHECK(mask.value().dtype() == torch::kBool);
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TORCH_CHECK(mask.value().dim() == 2);
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TORCH_CHECK(mask.value().size(0) == p.batch);
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TORCH_CHECK(mask.value().size(1) == p.kv_len);
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p.mask = mask.value().data_ptr<bool>();
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} else {
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p.mask = nullptr;
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}
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}
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