Revert "use mkl sparse matrix to improve performance (#14492)"

This reverts commit c437d5b.

Makefile

@@ -144,7 +144,6 @@ ifeq ($(USE_MKLDNN), 1)
 	LDFLAGS += -L$(MKLDNNROOT)/lib -lmkldnn -Wl,-rpath,'$${ORIGIN}'
 endif
 
-
 # setup opencv
 ifeq ($(USE_OPENCV), 1)
 	CFLAGS += -DMXNET_USE_OPENCV=1
@@ -416,14 +415,6 @@ ifeq ($(USE_DIST_KVSTORE), 1)
 	LDFLAGS += $(PS_LDFLAGS_A)
 endif
 
-#sparse-matrix
-ifeq ($(USE_BLAS), mkl)
-	SPARSE_MATRIX_DIR =  $(ROOTDIR)/3rdparty/sparse-matrix
-	LIB_DEP += $(SPARSE_MATRIX_DIR)/libsparse_matrix.so
-	CFLAGS += -I$(SPARSE_MATRIX_DIR)
-	LDFLAGS += -L$(SPARSE_MATRIX_DIR) -lsparse_matrix -Wl,-rpath,'$${ORIGIN}'
-endif
-
 .PHONY: clean all extra-packages test lint docs clean_all rcpplint rcppexport roxygen\
 	cython2 cython3 cython cyclean
 
@@ -561,30 +552,11 @@ ifeq ($(UNAME_S), Darwin)
 endif
 endif
 
-ifeq ($(USE_BLAS), mkl)
-ifeq ($(UNAME_S), Darwin)
-	install_name_tool -change '@rpath/libsparse_matrix.dylib' '@loader_path/libsparse_matrix.dylib' $@
-endif
-endif
-
 $(PS_PATH)/build/libps.a: PSLITE
 
 PSLITE:
 	$(MAKE) CXX="$(CXX)" DEPS_PATH="$(DEPS_PATH)" -C $(PS_PATH) ps
 
-ifeq ($(USE_BLAS), mkl)
-$(SPARSE_MATRIX_DIR)/libsparse_matrix.so: SPARSE_MATRIX
-
-SPARSE_MATRIX:
-ifeq ($(USE_INTEL_PATH), NONE)
-	$(MAKE) -C $(SPARSE_MATRIX_DIR)
-else
-	$(MAKE) -C $(SPARSE_MATRIX_DIR) USE_INTEL_PATH=$(USE_INTEL_PATH)
-endif
-	mkdir -p $(ROOTDIR)/lib
-	cp $(SPARSE_MATRIX_DIR)/libsparse_matrix.so $(ROOTDIR)/lib/
-endif
-
 $(DMLC_CORE)/libdmlc.a: DMLCCORE
 
 DMLCCORE:
@@ -661,10 +633,6 @@ rpkg:
 		cp -rf lib/libmklml_intel.so R-package/inst/libs; \
 	fi
 
-	if [ -e "lib/libsparse_matrix.so" ]; then \
-		cp -rf lib/libsparse_matrix.so R-package/inst/libs; \
-	fi
-
 	mkdir -p R-package/inst/include
 	cp -rl include/* R-package/inst/include
 	Rscript -e "if(!require(devtools)){install.packages('devtools', repo = 'https://cloud.r-project.org/')}"
@@ -710,7 +678,6 @@ clean: rclean cyclean $(EXTRA_PACKAGES_CLEAN)
 	(cd scala-package && mvn clean) || true
 	cd $(DMLC_CORE); $(MAKE) clean; cd -
 	cd $(PS_PATH); $(MAKE) clean; cd -
-	cd $(SPARSE_MATRIX_DIR); $(MAKE) clean; cd -
 	cd $(NNVM_PATH); $(MAKE) clean; cd -
 	cd $(AMALGAMATION_PATH); $(MAKE) clean; cd -
 	$(RM) -r  $(patsubst %, %/*.d, $(EXTRA_OPERATORS)) $(patsubst %, %/*/*.d, $(EXTRA_OPERATORS))
@@ -721,7 +688,6 @@ clean: rclean mkldnn_clean cyclean testclean $(EXTRA_PACKAGES_CLEAN)
 	(cd scala-package && mvn clean) || true
 	cd $(DMLC_CORE); $(MAKE) clean; cd -
 	cd $(PS_PATH); $(MAKE) clean; cd -
-	cd $(SPARSE_MATRIX_DIR); $(MAKE) clean; cd -
 	cd $(NNVM_PATH); $(MAKE) clean; cd -
 	cd $(AMALGAMATION_PATH); $(MAKE) clean; cd -
 endif

ci/jenkins/Jenkins_steps.groovy

@@ -33,7 +33,7 @@ mx_cmake_lib = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/dmlc-core/li
 // mxnet cmake libraries, in cmake builds we do not produce a libnvvm static library by default.
 mx_cmake_lib_debug = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests'
 mx_cmake_mkldnn_lib = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests, build/3rdparty/openmp/runtime/src/libomp.so, build/3rdparty/mkldnn/src/libmkldnn.so.0'
-mx_mkldnn_lib = 'lib/libmxnet.so, lib/libmxnet.a, lib/libiomp5.so, lib/libmkldnn.so.0, lib/libmklml_intel.so, lib/libsparse_matrix.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
+mx_mkldnn_lib = 'lib/libmxnet.so, lib/libmxnet.a, lib/libiomp5.so, lib/libmkldnn.so.0, lib/libmklml_intel.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
 mx_tensorrt_lib = 'build/libmxnet.so, lib/libnvonnxparser_runtime.so.0, lib/libnvonnxparser.so.0, lib/libonnx_proto.so, lib/libonnx.so'
 mx_lib_cpp_examples = 'lib/libmxnet.so, lib/libmxnet.a, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a, 3rdparty/ps-lite/build/libps.a, deps/lib/libprotobuf-lite.a, deps/lib/libzmq.a, build/cpp-package/example/*'
 mx_lib_cpp_examples_cpu = 'build/libmxnet.so, build/cpp-package/example/*'

src/operator/tensor/dot-inl.h

@@ -38,9 +38,7 @@
 #ifdef __CUDACC__
 #include "./dot-inl.cuh"
 #endif  // __CUDACC__
-#if (MSHADOW_USE_MKL == 1)
-#include "sparse_matrix.h"
-#endif
+
 namespace mxnet {
 namespace op {
 
@@ -777,35 +775,13 @@ inline void DotCsrDnsDnsImpl(const OpContext& ctx,
   }
 
   using nnvm::dim_t;
-#if (MSHADOW_USE_MKL == 1)
-  TShape lhs_shape = lhs.shape();
-  TShape rhs_shape = rhs.shape_;
-#endif
+
   const TBlob data_l = lhs.data();
   const TBlob indptr_l = lhs.aux_data(csr::kIndPtr);
   const TBlob col_idx_l = lhs.aux_data(csr::kIdx);
   const TBlob& data_r = rhs;
   const TBlob data_out = *ret;
 
-#if (MSHADOW_USE_MKL == 1)
-  if (data_l.type_flag_ == mshadow::kFloat32
-    && indptr_l.type_flag_ == mshadow::kInt64
-    && col_idx_l.type_flag_ == mshadow::kInt64
-    && !trans_lhs) {
-    bool ret = mkl_DotCsrDnsDns(static_cast<SP_INT64*>(indptr_l.dptr_),
-                                static_cast<SP_INT64*>(col_idx_l.dptr_),
-                                data_l.dptr<float>(),
-                                data_r.dptr<float>(),
-                                data_out.dptr<float>(),
-                                lhs_shape[0],
-                                lhs_shape[1],
-                                rhs_shape[1]);
-    if (ret) {
-      return;
-    }
-  }
-#endif
-
   MSHADOW_SGL_DBL_TYPE_SWITCH(data_l.type_flag_, DType, {  // data type
     MSHADOW_IDX_TYPE_SWITCH(indptr_l.type_flag_, IType, {  // indptr type
       MSHADOW_IDX_TYPE_SWITCH(col_idx_l.type_flag_, CType, {  // col idx type