rongzha1 commented on a change in pull request #16141: [mkldnn-v1.0] Add
MKL-DNN Convolution
URL: https://github.com/apache/incubator-mxnet/pull/16141#discussion_r325050972
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File path: src/operator/operator_common.h
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@@ -526,17 +526,46 @@ class OpSignature {
* and the layout to sign the op.
*/
-#if MXNET_USE_MKLDNN == 1
+#if MXNET_USE_MKLDNN == 100
void AddSign(const mkldnn::memory &mem) {
- auto desc = mem.get_primitive_desc().desc();
- hash = hash * 2 + desc.data.format;
- eles.push_back(desc.data.format);
+ auto desc = mem.get_desc();
+ hash = hash * 2 + desc.data.format_kind;
+ eles.push_back(desc.data.format_kind);
hash = hash * 2 + desc.data.data_type;
eles.push_back(desc.data.data_type);
for (int i = 0; i < desc.data.ndims; i++) {
hash = hash * 2 + desc.data.dims[i];
eles.push_back(desc.data.dims[i]);
}
+ switch (desc.data.format_kind) {
Review comment:
in tests/python/train/test_conv.py
fwd cache cost: 2.603
total fwd cost: 505.974
bwd cache cost: 1.798
total bwd cost: 720.74
So maybe not that necessary to optimize this code ?
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