attention works

lite/core/optimizer.h

@@ -67,8 +67,8 @@ class Optimizer {
           "lite_conv_elementwise_fuse_pass",  // conv-bn-elemwise
           // TODO(Superjomn) Refine the fusion related design to select fusion
           // kernels for devices automatically.
-          "lite_conv_activation_fuse_pass",              //
-          "lite_fc_fuse_pass",                           //
+          "lite_conv_activation_fuse_pass",  //
+          // "lite_fc_fuse_pass",                           //
           "lite_shuffle_channel_fuse_pass",              //
           "lite_transpose_softmax_transpose_fuse_pass",  //
           "lite_interpolate_fuse_pass",                  //

lite/kernels/arm/fill_constant_compute.cc

@@ -80,32 +80,37 @@ class FillConstantBatchLikeCompute
     auto& param = *param_.get_mutable<param_t>();
     auto& context = ctx_->As<ARMContext>();
 
-    if (param.input->lod().size() && param.input_dim_idx == 0) {
-      auto odims = param.out->dims();
-      odims[param.output_dim_idx] = param.input->lod().back().size() - 1;
-      param.out->Resize(odims);
+    auto data = param.out->template mutable_data<T>();
+    for (int i = 0; i < param.out->numel(); i++) {
+      data[i] = param.value;
     }
 
-    if (param.dtype == static_cast<int32_t>(lite::core::FluidType::FP32)) {
-      auto data = param.out->template mutable_data<float>();
-      for (int i = 0; i < param.out->numel(); i++) {
-        data[i] = param.value;
-      }
-    } else if (param.dtype ==
-               static_cast<int32_t>(lite::core::FluidType::INT32)) {
-      auto data = param.out->template mutable_data<int32_t>();
-      for (int i = 0; i < param.out->numel(); i++) {
-        data[i] = param.value;
-      }
-    } else if (param.dtype ==
-               static_cast<int32_t>(lite::core::FluidType::INT8)) {
-      auto data = param.out->template mutable_data<int8_t>();
-      for (int i = 0; i < param.out->numel(); i++) {
-        data[i] = param.value;
-      }
-    } else {
-      LOG(FATAL) << "not supported dtype " << param.dtype;
-    }
+    // if (param.input->lod().size() && param.input_dim_idx == 0) {
+    //   auto odims = param.out->dims();
+    //   odims[param.output_dim_idx] = param.input->lod().back().size() - 1;
+    //   param.out->Resize(odims);
+    // }
+
+    // if (param.dtype == static_cast<int32_t>(lite::core::FluidType::FP32)) {
+    //   auto data = param.out->template mutable_data<float>();
+    //   for (int i = 0; i < param.out->numel(); i++) {
+    //     data[i] = param.value;
+    //   }
+    // } else if (param.dtype ==
+    //            static_cast<int32_t>(lite::core::FluidType::INT32)) {
+    //   auto data = param.out->template mutable_data<int32_t>();
+    //   for (int i = 0; i < param.out->numel(); i++) {
+    //     data[i] = param.value;
+    //   }
+    // } else if (param.dtype ==
+    //            static_cast<int32_t>(lite::core::FluidType::INT8)) {
+    //   auto data = param.out->template mutable_data<int8_t>();
+    //   for (int i = 0; i < param.out->numel(); i++) {
+    //     data[i] = param.value;
+    //   }
+    // } else {
+    //   LOG(FATAL) << "not supported dtype " << param.dtype;
+    // }
   }
 
   virtual ~FillConstantBatchLikeCompute() = default;