[bug fix] Added verbose oneDNN lib version (#29671)

 fix #27935 (comment) by QA @OliverLPH (Could you add some MKLDNN-related print log when use FLAGS_use_mkldnn?)

paddle/fluid/operators/mkldnn/concat_mkldnn_op.cc

@@ -144,6 +144,7 @@ class ConcatMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
         platform::errors::InvalidArgument(
             "The axis is expected to be in range of [%d, %d), but got %d",
             -rank, rank, concat_axis));
+    platform::MKLDNNDeviceContext::tls().log_lib_version();
     if (concat_axis < 0) {
       concat_axis = concat_axis + rank;
     }

paddle/fluid/operators/mkldnn/fc_mkldnn_op.cc

@@ -561,6 +561,7 @@ class FCMKLDNNOpKernel : public framework::OpKernel<T_in> {
     PADDLE_ENFORCE_EQ(
         platform::is_cpu_place(ctx.GetPlace()), true,
         platform::errors::PreconditionNotMet("FC MKL-DNN must use CPUPlace."));
+    platform::MKLDNNDeviceContext::tls().log_lib_version();
     auto input = ctx.Input<LoDTensor>("Input");
     auto w = ctx.Input<Tensor>("W");
     auto bias = ctx.Input<Tensor>("Bias");

paddle/fluid/operators/mkldnn/matmul_mkldnn_op.cc

@@ -379,6 +379,7 @@ class DNNLMatMulKernel : public framework::OpKernel<T> {
                         platform::errors::Unimplemented(
                             "DNNL matmul doesn't support multiple heads."));
     }
+    platform::MKLDNNDeviceContext::tls().log_lib_version();
     ExecuteMatMul<T, T>(ctx);
   }
 };

paddle/fluid/operators/mkldnn/mul_mkldnn_op.cc

@@ -342,6 +342,7 @@ class MulMKLDNNKernel : public framework::OpKernel<XT> {
     PADDLE_ENFORCE_EQ(platform::is_cpu_place(ctx.GetPlace()), true,
                       paddle::platform::errors::PreconditionNotMet(
                           "Operator DNNL Mul must use CPUPlace"));
+    platform::MKLDNNDeviceContext::tls().log_lib_version();
     auto &dev_ctx = ctx.template device_context<MKLDNNDeviceContext>();
     const auto &mkldnn_engine = dev_ctx.GetEngine();
 

paddle/fluid/platform/device_context.cc

@@ -466,6 +466,15 @@ MKLDNNDeviceContextThreadLocals::Body::get_cur_paddle_data_layout(void) {
   return cur_paddle_data_layout;
 }
 
+void MKLDNNDeviceContextThreadLocals::Body::log_lib_version(void) {
+  if (!said_once) {
+    said_once = true;
+    auto dv = dnnl::version();
+    LOG(INFO) << "oneDNN v" << dv->major << "." << dv->minor << "."
+              << dv->patch;
+  }
+}
+
 void MKLDNNDeviceContext::ResetBlobMap() {
   std::lock_guard<decltype(*p_mutex_)> lock(*p_mutex_);
   if (!block_next_cache_clearing_) {

paddle/fluid/platform/device_context.h

@@ -466,6 +466,7 @@ class MKLDNNDeviceContextThreadLocals {
 
   typedef MKLDNNDeviceContextThreadLocals self;
   struct Body {
+    bool said_once = false;
     size_t cur_mkldnn_session_id;
     // Current data input shape string.
     // - For fixed-shape, it's a null string in default.
@@ -485,6 +486,7 @@ class MKLDNNDeviceContextThreadLocals {
     void set_cur_input_shape_cache_capacity(int input_shape_cache_capacity);
     void set_cur_paddle_data_layout(framework::DataLayout dl);
     framework::DataLayout get_cur_paddle_data_layout(void);
+    void log_lib_version(void);
   };
   MKLDNNDeviceContextThreadLocals() = default;
   MKLDNNDeviceContextThreadLocals(const MKLDNNDeviceContextThreadLocals& c) =

paddle/fluid/platform/mkldnn_reuse.h

@@ -45,6 +45,7 @@ class MKLDNNHandlerT {
         key_common_(base_key),
         fwd_pd_(nullptr),
         bwd_pd_(nullptr) {
+    platform::MKLDNNDeviceContext::tls().log_lib_version();
     if (platform::MKLDNNDeviceContext::tls().get_cur_mkldnn_session_id() !=
         platform::MKLDNNDeviceContextThreadLocals::kMKLDNNSessionID_Default) {
       key_ = key_common_;
@@ -311,6 +312,7 @@ class MKLDNNHandler {
   MKLDNNHandler(const MKLDNNDeviceContext& dev_ctx, mkldnn::engine engine,
                 const std::string& base_key)
       : dev_ctx_(dev_ctx), engine_(engine), key_common_(base_key) {
+    platform::MKLDNNDeviceContext::tls().log_lib_version();
     if (platform::MKLDNNDeviceContext::tls().get_cur_mkldnn_session_id() !=
         platform::MKLDNNDeviceContextThreadLocals::kMKLDNNSessionID_Default) {
       key_ = key_common_;