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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 | |