Update aom to v1.0.0

Update aom to commit id d14c5bb4f336ef1842046089849dee4a301fbbf0.

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_