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Diffstat (limited to 'third_party/aom/av1/encoder/ml.h')
-rw-r--r-- | third_party/aom/av1/encoder/ml.h | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/third_party/aom/av1/encoder/ml.h b/third_party/aom/av1/encoder/ml.h new file mode 100644 index 000000000..614cb60bb --- /dev/null +++ b/third_party/aom/av1/encoder/ml.h @@ -0,0 +1,44 @@ +/* + * Copyright (c) 2016, Alliance for Open Media. All rights reserved + * + * This source code is subject to the terms of the BSD 2 Clause License and + * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License + * was not distributed with this source code in the LICENSE file, you can + * obtain it at www.aomedia.org/license/software. If the Alliance for Open + * Media Patent License 1.0 was not distributed with this source code in the + * PATENTS file, you can obtain it at www.aomedia.org/license/patent. + */ + +#ifndef AV1_ENCODER_ML_H_ +#define AV1_ENCODER_ML_H_ + +#ifdef __cplusplus +extern "C" { +#endif + +#define NN_MAX_HIDDEN_LAYERS 10 +#define NN_MAX_NODES_PER_LAYER 128 + +typedef struct { + int num_inputs; // Number of input nodes, i.e. features. + int num_outputs; // Number of output nodes. + int num_hidden_layers; // Number of hidden layers, maximum 10. + // Number of nodes for each hidden layer. + int num_hidden_nodes[NN_MAX_HIDDEN_LAYERS]; + // Weight parameters, indexed by layer. + const float *weights[NN_MAX_HIDDEN_LAYERS + 1]; + // Bias parameters, indexed by layer. + const float *bias[NN_MAX_HIDDEN_LAYERS + 1]; +} NN_CONFIG; + +// Calculate prediction based on the given input features and neural net config. +// Assume there are no more than NN_MAX_NODES_PER_LAYER nodes in each hidden +// layer. +void av1_nn_predict(const float *features, const NN_CONFIG *nn_config, + float *output); + +#ifdef __cplusplus +} // extern "C" +#endif + +#endif // AV1_ENCODER_RD_H_ |