Dev angela data preprocessing#1
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sansangela wants to merge 8 commits into
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yuanxuns
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Jan 20, 2024
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| ```bash | ||
| pip3 install -r third_party/requirements.txt | ||
| python3 social_lstm/main.py |
| ) | ||
| dataloader.reset_frame_ptr() | ||
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| with tf.device(device): |
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nit: tf2还需要specify device吗？
| train(args) | ||
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| def train(args): |
| /bazel-* | ||
| /bazel_tutorial | ||
| *.bazel | ||
| *.lock No newline at end of file |
| py_binary( | ||
| name = "main", | ||
| srcs = ["main.py"], | ||
| ) No newline at end of file |
| continue | ||
| y_true_dense_representation[sequence_idx, indices, :] = y_true[sequence_idx][:, 1:3] | ||
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| return -tf.math.reduce_mean(y_true_dense_representation-y_pred) No newline at end of file |
| with tf.GradientTape() as tape: | ||
| # Forward pass | ||
| out = model(dense_representation_tf, lstm_hidden, lstm_cell) | ||
| loss = mse_loss(target, out, ped_id_to_index_map) # TODO, placeholder |
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nit: paper里的log likelyhood loss还没implement是吧？
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