90 lines
2.9 KiB
Plaintext
90 lines
2.9 KiB
Plaintext
/*
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* Copyright (c) 2024 by FlashInfer team.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include <flashinfer/pos_enc.cuh>
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#include "pytorch_extension_utils.h"
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using namespace flashinfer;
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void apply_rope_pos_ids_cos_sin_cache(
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at::Tensor q,
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at::Tensor k,
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at::Tensor q_rope,
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at::Tensor k_rope,
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at::Tensor cos_sin_cache,
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at::Tensor pos_ids,
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bool interleave,
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int64_t cuda_stream) {
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CHECK_LAST_DIM_CONTIGUOUS(q);
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CHECK_LAST_DIM_CONTIGUOUS(k);
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CHECK_INPUT(cos_sin_cache);
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CHECK_INPUT(pos_ids);
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auto device = q.device();
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CHECK_EQ(k.device(), device);
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CHECK_EQ(cos_sin_cache.device(), device);
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CHECK_EQ(pos_ids.device(), device);
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CHECK_DIM(3, q); // q: (nnz, H_Q, D)
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CHECK_DIM(3, k); // k: (nnz, H_K, D)
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// cos_sin_cache: (max_seq_len, R)
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// First half of R is cos, second half is sin
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CHECK_DIM(2, cos_sin_cache);
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CHECK_EQ(q.size(0), k.size(0));
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CHECK_EQ(q.size(2), k.size(2));
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unsigned int rotary_dim = cos_sin_cache.size(1);
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unsigned int num_qo_heads = q.size(1);
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unsigned int num_kv_heads = k.size(1);
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unsigned int head_dim = q.size(2);
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unsigned int nnz = q.size(0);
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size_t q_stride_n = q.stride(0);
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size_t q_stride_h = q.stride(1);
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size_t k_stride_n = k.stride(0);
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size_t k_stride_h = k.stride(1);
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size_t q_rope_stride_n = q_rope.stride(0);
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size_t q_rope_stride_h = q_rope.stride(1);
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size_t k_rope_stride_n = k_rope.stride(0);
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size_t k_rope_stride_h = k_rope.stride(1);
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cudaStream_t stream = reinterpret_cast<cudaStream_t>(cuda_stream);
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DISPATCH_PYTORCH_DTYPE_TO_CTYPE_FP16(q.scalar_type(), c_type, [&] {
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cudaError_t status = BatchQKApplyRotaryPosIdsCosSinCache(
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static_cast<c_type*>(q.data_ptr()),
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static_cast<c_type*>(k.data_ptr()),
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static_cast<c_type*>(q_rope.data_ptr()),
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static_cast<c_type*>(k_rope.data_ptr()),
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static_cast<float*>(cos_sin_cache.data_ptr()),
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static_cast<int64_t*>(pos_ids.data_ptr()),
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nnz,
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num_qo_heads,
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num_kv_heads,
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rotary_dim,
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head_dim,
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q_stride_n,
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q_stride_h,
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k_stride_n,
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k_stride_h,
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q_rope_stride_n,
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q_rope_stride_h,
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k_rope_stride_n,
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k_rope_stride_h,
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interleave,
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stream);
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TORCH_CHECK(
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status == cudaSuccess,
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"BatchQKApplyRotaryPosIdsCosSinCache failed with error code " + std::string(cudaGetErrorString(status)));
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return true;
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});
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}
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