1 | /* Copyright 2022 The TensorFlow Authors. All Rights Reserved. |
---|---|
2 | |
3 | Licensed under the Apache License, Version 2.0 (the "License"); |
4 | you may not use this file except in compliance with the License. |
5 | You may obtain a copy of the License at |
6 | |
7 | http://www.apache.org/licenses/LICENSE-2.0 |
8 | |
9 | Unless required by applicable law or agreed to in writing, software |
10 | distributed under the License is distributed on an "AS IS" BASIS, |
11 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
12 | See the License for the specific language governing permissions and |
13 | limitations under the License. |
14 | ==============================================================================*/ |
15 | |
16 | #include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h" |
17 | #include "tensorflow/dtensor/mlir/sparse_expander.h" |
18 | #include "tensorflow/dtensor/mlir/sparse_expansions/dynamic_enqueue_sparse_expander.h" |
19 | #include "tensorflow/dtensor/mlir/sparse_expansions/matmul_sparse_expander.h" |
20 | |
21 | namespace tensorflow { |
22 | namespace dtensor { |
23 | |
24 | // MatMul |
25 | REGISTER_SPARSE(MatMul, TF::MatMulOp, MatMulSparseExpander); |
26 | |
27 | // Embedding Enqueue |
28 | REGISTER_SPARSE(EmbeddingEnqueue, |
29 | TF::DynamicEnqueueTPUEmbeddingArbitraryTensorBatchOp, |
30 | DynamicEnqueueSparseExpander); |
31 | } // namespace dtensor |
32 | } // namespace tensorflow |
33 |