ZhennanQin commented on a change in pull request #15886: Graph Partition API
URL: https://github.com/apache/incubator-mxnet/pull/15886#discussion_r317851494
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File path: src/c_api/c_api_symbolic.cc
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@@ -1199,3 +1200,73 @@ int MXShallowCopySymbol(SymbolHandle src, SymbolHandle*
out) {
*out = out_sym;
API_END_HANDLE_ERROR(delete out_sym);
}
+
+int MXOptimizeForBackend(SymbolHandle sym_handle,
+ const char* backend_name,
+ SymbolHandle* ret_sym_handle,
+ const mx_uint len,
+ NDArrayHandle* in_args_handle,
+ const mx_uint num_options,
+ const char** keys,
+ const char** vals) {
+ nnvm::Symbol *s = new nnvm::Symbol();
+ API_BEGIN();
+ nnvm::Symbol *sym = static_cast<nnvm::Symbol *>(sym_handle);
+ *s = sym->Copy();
+ nnvm::Graph g = Symbol2Graph(*s);
+ if (len) {
+ NDArray **in_args_ptr = reinterpret_cast<NDArray**>(in_args_handle);
+ Context default_ctx = in_args_ptr[0]->ctx();
Review comment:
InferStorageTypes is not only used by MKLDNN, but important for all
backends, because it defines whether it's a sparse computation or not. Not all
backends can support sparse tensor. I think we need to gather storage type
along with dtype and shape for subgraph partition.
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