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In the batched LU decomposition in cuBLAS, the output buffer is required to be a pointer of pointers to the appropriate batch matrices. Previously this reshaping was done on the host and then copied to the device, requiring a synchronization, but it seems straightforward to instead implement a tiny CUDA kernel to do this work. This definitely isn't a bottleneck or a high priority change, but this seemed like a reasonable time to fix a longstanding TODO. PiperOrigin-RevId: 663686539
31 lines
1.0 KiB
C++
31 lines
1.0 KiB
C++
/* Copyright 2024 The JAX Authors.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#ifndef JAXLIB_GPU_MAKE_BATCH_POINTERS_H_
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#define JAXLIB_GPU_MAKE_BATCH_POINTERS_H_
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#include "jaxlib/gpu/vendor.h"
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namespace jax {
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namespace JAX_GPU_NAMESPACE {
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void MakeBatchPointersAsync(gpuStream_t stream, void* buffer_in,
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void* buffer_out, int batch, int batch_elem_size);
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} // namespace JAX_GPU_NAMESPACE
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} // namespace jax
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#endif // JAXLIB_GPU_MAKE_BATCH_POINTERS_H_
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