!1207 add enable_auto_mixed_precision

Merge pull request !1207 from jinyaohui/add_context

mindspore/ccsrc/pipeline/init.cc

@@ -117,6 +117,10 @@ PYBIND11_MODULE(_c_expression, m) {
     .def("close_tsd", &mindspore::MsContext::CloseTsd, "Close tdt dataset client.")
     .def("get_save_graphs_flag", &mindspore::MsContext::save_graphs_flag, "Get whether to save graphs.")
     .def("set_save_graphs_flag", &mindspore::MsContext::set_save_graphs_flag, "Set whether to save graphs.")
+    .def("get_auto_mixed_precision_flag", &mindspore::MsContext::auto_mixed_precision_flag,
+         "Get whether to enable auto mixed precision.")
+    .def("set_auto_mixed_precision_flag", &mindspore::MsContext::set_auto_mixed_precision_flag,
+         "Set whether to enable auto mixed precision.")
     .def("get_enable_reduce_precision_flag", &mindspore::MsContext::enable_reduce_precision,
          "Get whether to enable reduce precision.")
     .def("set_enable_reduce_precision_flag", &mindspore::MsContext::set_enable_reduce_precision,

mindspore/ccsrc/utils/context/ms_context.h

@@ -105,6 +105,11 @@ class MsContext {
   void set_enable_gpu_summary(bool enable_gpu_summary) { enable_gpu_summary_ = enable_gpu_summary; }
   bool enable_gpu_summary() const { return enable_gpu_summary_; }
 
+  void set_auto_mixed_precision_flag(bool auto_mixed_precision_flag) {
+    auto_mixed_precision_flag_ = auto_mixed_precision_flag;
+  }
+  bool auto_mixed_precision_flag() const { return auto_mixed_precision_flag_; }
+
   void set_enable_reduce_precision(bool flag) { enable_reduce_precision_ = flag; }
   bool enable_reduce_precision() const { return enable_reduce_precision_; }
 

mindspore/context.py

@@ -233,6 +233,14 @@ class _Context:
     def save_ms_model_path(self, save_ms_model_path):
         self._context_handle.set_save_ms_model_path(save_ms_model_path)
 
+    @property
+    def enable_auto_mixed_precision(self):
+        return self._context_handle.get_auto_mixed_precision_flag()
+
+    @enable_auto_mixed_precision.setter
+    def enable_auto_mixed_precision(self, enable_auto_mixed_precision):
+        self._context_handle.set_auto_mixed_precision_flag(enable_auto_mixed_precision)
+
     @property
     def enable_reduce_precision(self):
         return self._context_handle.get_enable_reduce_precision_flag()
@@ -441,7 +449,7 @@ def reset_auto_parallel_context():
 @args_type_check(mode=int, precompile_only=bool, device_target=str, device_id=int, save_graphs=bool,
                  save_graphs_path=str, save_ms_model=bool, save_ms_model_path=str, enable_dump=bool,
                  save_dump_path=str, enable_reduce_precision=bool, variable_memory_max_size=str,
-                 enable_profiling=bool, profiling_options=str)
+                 enable_profiling=bool, profiling_options=str, enable_auto_mixed_precision=bool)
 def set_context(**kwargs):
     """
     Sets context for running environment.
@@ -469,6 +477,7 @@ def set_context(**kwargs):
         save_ms_model (bool): Whether to save lite model converted by graph. Default: False.
         save_ms_model_path (str): Path to save converted lite model. Default: "."
         save_graphs_path (str): Path to save graphs. Default: "."
+        enable_auto_mixed_precision (bool): Whether to enable auto mixed precision. Default: True.
         reserve_class_name_in_scope (bool) : Whether to save the network class name in the scope. Default: True.
         enable_reduce_precision (bool): Whether to enable precision reduction. Default: True.
         enable_dump (bool): Whether to enable dump. Default: False.