Revision 2f52f2219ffe6776b2c7b9614f9419844fe61045 authored by Bowen Bao on 06 September 2018, 02:22:53 UTC, committed by Bowen Bao on 09 September 2018, 20:41:04 UTC
pad values are explicitly computed based on ONNX spec equations during import in the following cases: - case 1: when auto_pad is SAME_UPPER | SAME_LOWER for convolution, convolution transpose and pooling. - case 2: when output_shape is explicitly set for convolution transpose. note: output_shape in ONNX spec can have the two below format: 1. [X1 * X2 * ... * Xn] 2. [N * O * X1 * X2 * ... * Xn]
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File | Mode | Size |
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Manual_How_to_create_user_minibatch_sources.ipynb | -rw-r--r-- | 24.8 KB |
Manual_How_to_debug.ipynb | -rw-r--r-- | 159.7 KB |
Manual_How_to_feed_data.ipynb | -rw-r--r-- | 51.9 KB |
Manual_How_to_train_using_declarative_and_imperative_API.ipynb | -rw-r--r-- | 28.6 KB |
Manual_How_to_use_learners.ipynb | -rw-r--r-- | 41.7 KB |
Manual_How_to_use_network_optimizations.ipynb | -rw-r--r-- | 16.6 KB |
Manual_How_to_write_a_custom_deserializer.ipynb | -rw-r--r-- | 19.2 KB |
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