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54 lines
1.7 KiB
C++
54 lines
1.7 KiB
C++
/* Copyright 2021 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 "nanobind/nanobind.h"
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#include "jaxlib/gpu/linalg_kernels.h"
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#include "jaxlib/gpu/vendor.h"
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#include "jaxlib/kernel_nanobind_helpers.h"
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#include "xla/tsl/python/lib/core/numpy.h"
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namespace jax {
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namespace JAX_GPU_NAMESPACE {
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namespace {
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namespace nb = nanobind;
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nb::bytes BuildCholeskyUpdateDescriptor(dtype np_type,
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std::int64_t matrix_size) {
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LinalgType linalg_type =
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(np_type.itemsize() == 4 ? LinalgType::F32 : LinalgType::F64);
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return PackDescriptor(CholeskyUpdateDescriptor{linalg_type, matrix_size});
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}
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NB_MODULE(_linalg, m) {
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tsl::ImportNumpy();
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m.def("registrations", []() {
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nb::dict dict;
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dict[JAX_GPU_PREFIX "_lu_pivots_to_permutation"] =
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EncapsulateFfiHandler(LuPivotsToPermutation);
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dict[JAX_GPU_PREFIX "_cholesky_update"] =
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EncapsulateFunction(CholeskyUpdate);
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dict[JAX_GPU_PREFIX "_cholesky_update_ffi"] =
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EncapsulateFunction(CholeskyUpdateFfi);
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return dict;
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});
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m.def("build_cholesky_update_descriptor", &BuildCholeskyUpdateDescriptor);
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}
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} // namespace
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} // namespace JAX_GPU_NAMESPACE
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} // namespace jax
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