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21e98b5ce4
As reported in https://github.com/jax-ml/jax/issues/24843, our LU decomposition on GPU hits overflow errors when the batch size approaches int32 max. This was caused by an issue in how we were constructing the batched pointers used by cuBLAS. PiperOrigin-RevId: 695694648
50 lines
1.7 KiB
C++
50 lines
1.7 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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#include "jaxlib/gpu/make_batch_pointers.h"
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#include <algorithm>
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#include <cstdint>
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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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namespace {
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__global__ void MakeBatchPointersAsyncKernel(char* buffer_in, void** buffer_out,
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int64_t batch,
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int64_t batch_elem_size) {
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for (int64_t idx = blockIdx.x * blockDim.x + threadIdx.x; idx < batch;
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idx += blockDim.x * gridDim.x) {
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buffer_out[idx] = buffer_in + idx * batch_elem_size;
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}
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}
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} // namespace
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void MakeBatchPointersAsync(gpuStream_t stream, void* buffer_in,
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void* buffer_out, int64_t batch,
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int64_t batch_elem_size) {
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const std::size_t block_dim = 128;
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const std::size_t grid_dim =
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std::min<std::size_t>(1024, (batch + block_dim - 1) / block_dim);
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MakeBatchPointersAsyncKernel<<<grid_dim, block_dim, 0, stream>>>(
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static_cast<char*>(buffer_in), static_cast<void**>(buffer_out), batch,
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batch_elem_size);
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}
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} // namespace JAX_GPU_NAMESPACE
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} // namespace jax
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