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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1stSteps | ||
Evaluation | ||
Extensibility | ||
Image | ||
LanguageUnderstanding | ||
ReinforcementLearning | ||
SequenceClassification | ||
SequenceToSequence | ||
Speech | ||
Text | ||
TrainingCSharp | ||
Video | ||
PythonExamples.pyproj | -rw-r--r-- | 19.9 KB |
README.md | -rw-r--r-- | 640 bytes |
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