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 |
|---|---|---|
| README.md | -rw-r--r-- | 647 bytes |
| SLUHandsOn.cntk | -rw-r--r-- | 2.5 KB |
| SLUHandsOn_Solution1.cntk | -rw-r--r-- | 2.7 KB |
| SLUHandsOn_Solution2.cntk | -rw-r--r-- | 2.8 KB |
| SLUHandsOn_Solution3.cntk | -rw-r--r-- | 2.7 KB |
| SLUHandsOn_Solution4.cntk | -rw-r--r-- | 3.5 KB |
| atis.test.ctf | -rw-r--r-- | 484.8 KB |
| atis.train.ctf | -rw-r--r-- | 2.9 MB |
| slu.forward.backward.cmf | -rw-r--r-- | 2.1 MB |
| slu.forward.cmf | -rw-r--r-- | 2.8 MB |
| slu.forward.lookahead.cmf | -rw-r--r-- | 3.5 MB |
| slu.forward.nobn.cmf | -rw-r--r-- | 2.8 MB |
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