Revision ce3df25c93094fde132ae523df01e23b08063bf1 authored by Bowen Bao on 06 September 2018, 02:22:53 UTC, committed by Bowen Bao on 07 September 2018, 00:35:54 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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AllReduceDistGradAggregator.h | -rw-r--r-- | 29.8 KB |
BlockMomentumDistributedLearner.h | -rw-r--r-- | 29.7 KB |
BlockMomentumSGD.h | -rw-r--r-- | 14.2 KB |
MatrixQuantizer.h | -rw-r--r-- | 2.6 KB |
QuantizedDataParallelDistributedLearner.h | -rw-r--r-- | 4.1 KB |
QuantizedDistributedCommunicator.h | -rw-r--r-- | 29.1 KB |
V2AllReduceDistGradAggregator.h | -rw-r--r-- | 12.9 KB |
V2BlockMomentumSGD.h | -rw-r--r-- | 16.6 KB |
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