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b6306e3953
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
74 lines
2.8 KiB
C++
74 lines
2.8 KiB
C++
/* Copyright 2019 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_GPU_KERNEL_HELPERS_H_
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#define JAXLIB_GPU_GPU_KERNEL_HELPERS_H_
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#include <memory>
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#include "absl/base/optimization.h"
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#include "absl/status/status.h"
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#include "absl/status/statusor.h"
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#include "jaxlib/gpu/vendor.h"
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#define JAX_AS_STATUS(expr) \
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jax::JAX_GPU_NAMESPACE::AsStatus(expr, __FILE__, __LINE__, #expr)
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#define JAX_THROW_IF_ERROR(expr) \
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{ \
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auto s___ = (expr); \
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if (ABSL_PREDICT_FALSE(!s___.ok())) \
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throw std::runtime_error(std::string(s___.message())); \
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}
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#define JAX_RETURN_IF_ERROR(expr) \
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{ \
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auto s___ = (expr); \
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if (ABSL_PREDICT_FALSE(!s___.ok())) return s___; \
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}
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#define JAX_ASSIGN_OR_RETURN(lhs, expr) \
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auto s___ = (expr); \
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if (ABSL_PREDICT_FALSE(!s___.ok())) { \
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return s___.status(); \
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} \
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lhs = (*std::move(s___))
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namespace jax {
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namespace JAX_GPU_NAMESPACE {
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// Used via JAX_AS_STATUS(expr) macro.
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absl::Status AsStatus(gpuError_t error, const char* file, std::int64_t line,
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const char* expr);
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absl::Status AsStatus(gpusolverStatus_t status, const char* file,
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std::int64_t line, const char* expr);
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absl::Status AsStatus(gpusparseStatus_t status, const char* file,
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std::int64_t line, const char* expr);
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absl::Status AsStatus(gpublasStatus_t status, const char* file,
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std::int64_t line, const char* expr);
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#ifdef JAX_GPU_CUDA
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absl::Status AsStatus(CUresult error, const char* file, std::int64_t line,
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const char* expr);
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absl::Status AsStatus(CUptiResult error, const char* file, std::int64_t line,
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const char* expr);
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absl::Status AsStatus(cufftResult error, const char* file, std::int64_t line,
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const char* expr);
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#endif
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} // namespace JAX_GPU_NAMESPACE
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} // namespace jax
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#endif // JAXLIB_GPU_GPU_KERNEL_HELPERS_H_
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