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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/11/02 15:29:16 UTC
[GitHub] TaoLv commented on a change in pull request #13084: [WIP]
Test/mkldnn batch norm op
TaoLv commented on a change in pull request #13084: [WIP] Test/mkldnn batch norm op
URL: https://github.com/apache/incubator-mxnet/pull/13084#discussion_r230410890
##########
File path: tests/cpp/operator/mkldnn_operator_test.cc
##########
@@ -213,6 +215,121 @@ OpAttrs GetLRNBackwardsOp() {
return attrs;
}
+OpAttrs GetConvOp(int kernel, int num_filters, int dim, int stride, int pad) {
+ OpAttrs attrs;
+ attrs.attrs.op = Op::Get("Convolution");
+ attrs.num_inputs = 3;
+ attrs.num_outputs = 1;
+ attrs.attrs.dict.insert({"kernel" , CreateShapeString(kernel, dim)});
+ attrs.attrs.dict.insert({"num_filter" , std::to_string(num_filters)});
+ attrs.attrs.dict.insert({"stride" , CreateShapeString(stride, dim)});
+ attrs.attrs.dict.insert({"pad" , CreateShapeString(pad, dim)});
+ attrs.attrs.op->attr_parser(&attrs.attrs);
+ attrs.input_types = ArrayTypes::Normal |
+ ArrayTypes::MKLDNN |
+ ArrayTypes::NormalReshaped |
+ ArrayTypes::MKLDNNReshaped |
+ ArrayTypes::NormalReused |
+ ArrayTypes::MKLDNNReused |
+ ArrayTypes::NormalReshapedReused;
+ attrs.output_types = ArrayTypes::Normal |
+ ArrayTypes::MKLDNN |
+ ArrayTypes::NormalReshaped |
+ ArrayTypes::MKLDNNReshaped |
+ ArrayTypes::NormalReused |
+ ArrayTypes::MKLDNNReused |
+ ArrayTypes::NormalReshapedReused |
+ ArrayTypes::NormalReusedDiffDtype;
+ return attrs;
+}
+
+OpAttrs GetConvBackwardOp(int kernel, int num_filters, int dim, int stride, int pad) {
+ OpAttrs attrs;
+ attrs.attrs.op = Op::Get("_backward_Convolution");
+ attrs.num_inputs = 4;
+ attrs.num_outputs = 3;
+ attrs.attrs.dict.insert({"kernel" , CreateShapeString(kernel, dim)});
+ attrs.attrs.dict.insert({"num_filter" , std::to_string(num_filters)});
+ attrs.attrs.dict.insert({"stride" , CreateShapeString(stride, dim)});
+ attrs.attrs.dict.insert({"pad" , CreateShapeString(pad, dim)});
+ attrs.attrs.op->attr_parser(&attrs.attrs);
+ return attrs;
+}
+
+OpAttrs GetDeconvOp(int kernel, int num_filters, int dim, int stride, int pad) {
+ OpAttrs attrs;
+ attrs.attrs.op = Op::Get("Deconvolution");
+ attrs.num_inputs = 2;
+ attrs.num_outputs = 1;
+ attrs.attrs.dict.insert({"kernel" , CreateShapeString(kernel, dim)});
+ attrs.attrs.dict.insert({"num_filter" , std::to_string(num_filters)});
+ attrs.attrs.dict.insert({"stride" , CreateShapeString(stride, dim)});
+ attrs.attrs.dict.insert({"pad" , CreateShapeString(pad, dim)});
+ attrs.attrs.op->attr_parser(&attrs.attrs);
+ attrs.input_types = ArrayTypes::Normal |
+ ArrayTypes::MKLDNN |
+ ArrayTypes::NormalReshaped |
+ ArrayTypes::MKLDNNReshaped |
+ ArrayTypes::NormalReused |
+ ArrayTypes::MKLDNNReused |
+ ArrayTypes::NormalReshapedReused;
+ attrs.output_types = ArrayTypes::Normal |
+ ArrayTypes::MKLDNN |
+ ArrayTypes::NormalReshaped |
+ ArrayTypes::MKLDNNReshaped |
+ ArrayTypes::NormalReused |
+ ArrayTypes::MKLDNNReused |
+ ArrayTypes::NormalReshapedReused |
+ ArrayTypes::NormalReusedDiffDtype;
+ return attrs;
+}
+
+OpAttrs GetDeconvBackwardOp(int kernel, int num_filters, int dim, int stride, int pad) {
+ OpAttrs attrs;
+ attrs.attrs.op = Op::Get("_backward_Deconvolution");
+ attrs.num_inputs = 3;
+ attrs.num_outputs = 2;
+ attrs.attrs.dict.insert({"kernel" , CreateShapeString(kernel, dim)});
+ attrs.attrs.dict.insert({"num_filter" , std::to_string(num_filters)});
+ attrs.attrs.dict.insert({"stride" , CreateShapeString(stride, dim)});
+ attrs.attrs.dict.insert({"pad" , CreateShapeString(pad, dim)});
+ attrs.attrs.op->attr_parser(&attrs.attrs);
+ return attrs;
+}
+
+OpAttrs GetBNOp() {
+ OpAttrs attrs;
+ attrs.attrs.op = Op::Get("LRN");
+ attrs.num_inputs = 1;
+ attrs.num_outputs = 2;
+ attrs.attrs.dict.insert({"nsize" , "3"});
+ attrs.attrs.op->attr_parser(&attrs.attrs);
+ attrs.dispatches.resize(2);
+ attrs.requests.insert(OpReqType::kWriteTo);
+ attrs.requests.insert(OpReqType::kWriteInplace);
+ attrs.input_types = ArrayTypes::Normal |
+ ArrayTypes::MKLDNN |
+ ArrayTypes::NormalReshaped |
+ ArrayTypes::MKLDNNReshaped;
+ attrs.output_types = ArrayTypes::Normal |
+ ArrayTypes::MKLDNN |
+ ArrayTypes::NormalReshaped |
+ ArrayTypes::MKLDNNReshaped;
+ return attrs;
+}
+
+OpAttrs GetBNBackwardsOp() {
+ OpAttrs attrs;
+ attrs.attrs.op = Op::Get("_backward_LRN");
Review comment:
BN
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