| /* Copyright 2017 The TensorFlow Authors. All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| |
| #include "tensorflow/compiler/tf2xla/xla_op_kernel.h" |
| #include "tensorflow/compiler/tf2xla/xla_op_registry.h" |
| #include "tensorflow/compiler/xla/client/lib/matrix.h" |
| #include "tensorflow/compiler/xla/client/xla_builder.h" |
| |
| namespace tensorflow { |
| namespace { |
| |
| class CholeskyOp : public XlaOpKernel { |
| public: |
| explicit CholeskyOp(OpKernelConstruction* ctx) : XlaOpKernel(ctx) {} |
| void Compile(XlaOpKernelContext* ctx) override { |
| ctx->SetOutput(0, |
| xla::Triangle(xla::Cholesky(ctx->Input(0), /*lower=*/true), |
| /*lower=*/true)); |
| } |
| }; |
| |
| REGISTER_XLA_OP(Name("Cholesky").TypeConstraint("T", kFloatAndComplexTypes), |
| CholeskyOp); |
| |
| } // namespace |
| } // namespace tensorflow |