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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 09:22:09 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 09:22:09 +0000 |
commit | 43a97878ce14b72f0981164f87f2e35e14151312 (patch) | |
tree | 620249daf56c0258faa40cbdcf9cfba06de2a846 /third_party/aom/av1/encoder/ml.h | |
parent | Initial commit. (diff) | |
download | firefox-43a97878ce14b72f0981164f87f2e35e14151312.tar.xz firefox-43a97878ce14b72f0981164f87f2e35e14151312.zip |
Adding upstream version 110.0.1.upstream/110.0.1upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'third_party/aom/av1/encoder/ml.h')
-rw-r--r-- | third_party/aom/av1/encoder/ml.h | 49 |
1 files changed, 49 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 0000000000..cb8ef2871b --- /dev/null +++ b/third_party/aom/av1/encoder/ml.h @@ -0,0 +1,49 @@ +/* + * 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 AOM_AV1_ENCODER_ML_H_ +#define AOM_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); + +// Applies the softmax normalization function to the input +// to get a valid probability distribution in the output: +// output[i] = exp(input[i]) / sum_{k \in [0,n)}(exp(input[k])) +void av1_nn_softmax(const float *input, float *output, int n); + +#ifdef __cplusplus +} // extern "C" +#endif + +#endif // AOM_AV1_ENCODER_ML_H_ |