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| /* | |
| * Copyright 2021 Google LLC | |
| * | |
| * 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. | |
| */ | |
| namespace csrblocksparse { | |
| // Possible numbers of Autoregressive inputs. | |
| // TODO(b/188702959): Generalize to any non-negative integer value? | |
| enum class ARInputsMode { | |
| // There are no autoregressive inputs. Inputs to the GRU gates are strictly | |
| // from the gate-recurrent matmul and other unrelated inputs. | |
| k0ARInputs, | |
| // Two autoregressive inputs, such as coarse and fine for WaveRNN. | |
| k2ARInputs, | |
| // Three autoregressive inputs, such as prev coarse and fine plus current | |
| // coarse for WaveRNN. | |
| k3ARInputs, | |
| }; | |
| } // namespace csrblocksparse | |