make uint8 support in data_type transform and memory optimize (#10715)

* "a piece of job."

* "fix typeo"

* "fix ci"

paddle/fluid/framework/data_type_transform.cc

@@ -91,6 +91,12 @@ void TransDataType(const OpKernelType& kernel_type_for_var,
     case proto::VarType::BOOL:
       framework::VisitDataType(dst_type, CastDataType<bool>(in, out, ctx));
       break;
+    case proto::VarType::INT16:
+      framework::VisitDataType(dst_type, CastDataType<bool>(in, out, ctx));
+      break;
+    case proto::VarType::UINT8:
+      framework::VisitDataType(dst_type, CastDataType<bool>(in, out, ctx));
+      break;
     default:
       PADDLE_THROW("Not support type %d", src_type);
   }

paddle/fluid/pybind/protobuf.cc

@@ -238,6 +238,7 @@ void BindVarDsec(pybind11::module *m) {
 
   pybind11::enum_<pd::proto::VarType::Type>(var_desc, "VarType", "")
       .value("BOOL", pd::proto::VarType::BOOL)
+      .value("UINT8", pd::proto::VarType::UINT8)
       .value("INT16", pd::proto::VarType::INT16)
       .value("INT32", pd::proto::VarType::INT32)
       .value("INT64", pd::proto::VarType::INT64)

python/paddle/fluid/framework.py

@@ -72,6 +72,8 @@ def convert_np_dtype_to_dtype_(np_dtype):
         return core.VarDesc.VarType.INT64
     elif dtype == np.bool:
         return core.VarDesc.VarType.BOOL
+    elif dtype == np.uint8:
+        return core.VarDesc.VarType.UINT8
     else:
         raise ValueError("Not supported numpy dtype " + str(dtype))
 

python/paddle/fluid/transpiler/memory_optimization_transpiler.py

@@ -24,7 +24,8 @@ dtype_to_size = {
     core.VarDesc.VarType.INT16: 2,
     core.VarDesc.VarType.INT32: 4,
     core.VarDesc.VarType.INT64: 8,
-    core.VarDesc.VarType.BOOL: 1
+    core.VarDesc.VarType.BOOL: 1,
+    core.VarDesc.VarType.UINT8: 1,
 }
 
 SUB_BLOCK_OPS = [