SummaryRecord support to record mindexplain data

The SummaryRecord.add_value() method is extended to record the data of
MindExplain.

mindspore/ccsrc/utils/summary.proto

@@ -40,6 +40,8 @@ message Event {
 
     // Summary data
     Summary summary = 5;
+
+    Explain explain = 6;
   }
 }
 
@@ -101,3 +103,50 @@ message Summary {
     // Set of values for the summary.
     repeated Value value = 1;
 }
+
+message Explain {
+    message Inference{
+        repeated float ground_truth_prob = 1;
+        repeated int32 predicted_label = 2;
+        repeated float predicted_prob = 3;
+    }
+
+    message Explanation{
+        optional string explain_method = 1;
+        optional int32 label = 2;
+        optional bytes heatmap = 3;
+	}
+
+    message Benchmark{
+        message TotalScore{
+            optional string benchmark_method = 1;
+            optional float score = 2;
+		}
+        message LabelScore{
+            repeated float score = 1;
+            optional string benchmark_method = 2;
+		}
+
+        optional string explain_method = 1;
+        repeated TotalScore total_score = 2;
+        repeated LabelScore label_score = 3;
+	}
+
+    message Metadata{
+		repeated string label = 1;
+		repeated string explain_method = 2;
+		repeated string benchmark_method = 3;
+	}
+
+    optional string image_id = 1;  // The Metadata and image id must have one fill in
+    optional bytes image_data = 2;
+    repeated int32 ground_truth_label = 3;
+
+
+    optional Inference inference = 4;
+    repeated Explanation explanation = 5;
+    repeated Benchmark benchmark = 6;
+
+    optional Metadata metadata = 7;
+    optional string status = 8;  // enum value: run, end
+}

mindspore/train/callback/_summary_collector.py

@@ -26,7 +26,7 @@ from mindspore import log as logger
 from mindspore.common.tensor import Tensor
 from mindspore.common.parameter import Parameter
 from mindspore.train.summary.summary_record import SummaryRecord
-from mindspore.train.summary.enum import PluginEnum, ModeEnum
+from mindspore.train.summary.enums import PluginEnum, ModeEnum
 from mindspore.train.callback import Callback, ModelCheckpoint
 from mindspore.train import lineage_pb2
 from mindspore.train.callback._dataset_graph import DatasetGraph

mindspore/train/summary/_explain_adapter.py

@@ -0,0 +1,48 @@
+# Copyright 2020 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ============================================================================
+"""Generate the explain event which conform to proto format."""
+import time
+
+from ..summary_pb2 import Event, Explain
+
+
+def check_explain_proto(explain):
+    """
+    Package the explain event.
+
+    Args:
+        explain (Explain): The object of summary_pb2.Explain.
+    """
+    if not isinstance(explain, Explain):
+        raise TypeError(f'Plugin explainer expects a {Explain.__name__} value.')
+
+    if not explain.image_id and not explain.metadata.label and not explain.benchmark:
+        raise ValueError(f'The Metadata and image id and benchmark must have one fill in.')
+
+
+def package_explain_event(explain_str):
+    """
+    Package the explain event.
+
+    Args:
+        explain_str (string): The serialize string of summary_pb2.Explain.
+
+    Returns:
+        Event, event object.
+    """
+    event = Event()
+    event.wall_time = time.time()
+    event.explain.ParseFromString(explain_str)
+    return event.SerializeToString()

mindspore/train/summary/_writer_pool.py

@@ -21,7 +21,8 @@ import mindspore.log as logger
 
 from ._lineage_adapter import serialize_to_lineage_event
 from ._summary_adapter import package_graph_event, package_summary_event
-from ._summary_writer import LineageWriter, SummaryWriter
+from ._explain_adapter import package_explain_event
+from .writer import LineageWriter, SummaryWriter, ExplainWriter
 
 try:
     from multiprocessing import get_context
@@ -42,6 +43,8 @@ def _pack_data(datadict, wall_time):
             elif plugin in ('scalar', 'tensor', 'histogram', 'image'):
                 summaries.append({'_type': plugin.title(), 'name': data.get('tag'), 'data': data.get('value')})
                 step = data.get('step')
+            elif plugin == 'explainer':
+                result.append([plugin, package_explain_event(data.get('value'))])
     if summaries:
         result.append(['summary', package_summary_event(summaries, step, wall_time).SerializeToString()])
     return result
@@ -98,6 +101,8 @@ class WriterPool(ctx.Process):
                 self._writers_.append(SummaryWriter(filepath, self._max_file_size))
             elif plugin == 'lineage':
                 self._writers_.append(LineageWriter(filepath, self._max_file_size))
+            elif plugin == 'explainer':
+                self._writers_.append(ExplainWriter(filepath, self._max_file_size))
         return self._writers_
 
     def _write(self, plugin, data):
@@ -125,7 +130,6 @@ class WriterPool(ctx.Process):
         Write the event to file.
 
         Args:
-            name (str): The key of a specified file.
             data (Optional[str, Tuple[list, int]]): The data to write.
         """
         self._queue.put(('WRITE', data))

mindspore/train/summary/summary_record.py

@@ -17,6 +17,7 @@ import atexit
 import os
 import re
 import threading
+from collections import defaultdict
 
 from mindspore import log as logger
 
@@ -24,6 +25,7 @@ from ..._c_expression import Tensor
 from ..._checkparam import Validator
 from .._utils import _check_lineage_value, _check_to_numpy, _make_directory
 from ._summary_adapter import get_event_file_name, package_graph_event
+from ._explain_adapter import check_explain_proto
 from ._writer_pool import WriterPool
 
 # for the moment, this lock is for caution's sake,
@@ -55,7 +57,6 @@ def _get_summary_tensor_data():
 
 
 def _dictlist():
-    from collections import defaultdict
     return defaultdict(list)
 
 
@@ -133,7 +134,8 @@ class SummaryRecord:
         self._event_writer = WriterPool(log_dir,
                                         max_file_size,
                                         summary=self.full_file_name,
-                                        lineage=get_event_file_name(self.prefix, '_lineage'))
+                                        lineage=get_event_file_name(self.prefix, '_lineage'),
+                                        explainer=get_event_file_name(self.prefix, '_explain'))
         _get_summary_tensor_data()
         atexit.register(self.close)
 
@@ -149,10 +151,11 @@ class SummaryRecord:
 
     def set_mode(self, mode):
         """
-        Set the mode for the recorder to be aware. The mode is set to 'train' by default.
+        Sets the training phase. Different training phases affect data recording.
 
         Args:
-            mode (str): The mode to be set, which should be 'train' or 'eval'.
+            mode (str): The mode to be set, which should be 'train' or 'eval'. When the mode is 'eval',
+                summary_record will not record the data of summary operators.
 
         Raises:
             ValueError: When the mode is not recognized.
@@ -170,29 +173,26 @@ class SummaryRecord:
         """
         Add value to be recorded later.
 
-        When the plugin is 'tensor', 'scalar', 'image' or 'histogram',
-        the name should be the tag name, and the value should be a Tensor.
-
-        When the plugin is 'graph', the value should be a GraphProto.
-
-        When the plugin is 'dataset_graph', 'train_lineage', 'eval_lineage',
-        or 'custom_lineage_data', the value should be a proto message.
-
-
         Args:
             plugin (str): The value of the plugin.
             name (str): The value of the name.
             value (Union[Tensor, GraphProto, TrainLineage, EvaluationLineage, DatasetGraph, UserDefinedInfo]): \
                 The value to store.
 
-                - The data type of value should be 'GraphProto' when the plugin is 'graph'.
-                - The data type of value should be 'Tensor' when the plugin is 'scalar', 'image', 'tensor'
+                - The data type of value should be 'GraphProto' (see mindspore/ccsrc/anf_ir.proto) object
+                  when the plugin is 'graph'.
+                - The data type of value should be 'Tensor' object when the plugin is 'scalar', 'image', 'tensor'
                   or 'histogram'.
-                - The data type of value should be 'TrainLineage' when the plugin is 'train_lineage'.
-                - The data type of value should be 'EvaluationLineage' when the plugin is 'eval_lineage'.
-                - The data type of value should be 'DatasetGraph' when the plugin is 'dataset_graph'.
-                - The data type of value should be  'UserDefinedInfo' when the plugin is 'custom_lineage_data'.
-
+                - The data type of value should be a 'TrainLineage' object when the plugin is 'train_lineage',
+                  see mindspore/ccsrc/lineage.proto.
+                - The data type of value should be a 'EvaluationLineage' object when the plugin is 'eval_lineage',
+                  see mindspore/ccsrc/lineage.proto.
+                - The data type of value should be a 'DatasetGraph' object when the plugin is 'dataset_graph',
+                  see mindspore/ccsrc/lineage.proto.
+                - The data type of value should be a 'UserDefinedInfo' object when the plugin is 'custom_lineage_data',
+                  see mindspore/ccsrc/lineage.proto.
+                - The data type of value should be a 'Explain' object when the plugin is 'explainer',
+                  see mindspore/ccsrc/summary.proto.
         Raises:
             ValueError: When the name is not valid.
             TypeError: When the value is not a Tensor.
@@ -218,6 +218,9 @@ class SummaryRecord:
         elif plugin == 'graph':
             package_graph_event(value)
             self._data_pool[plugin].append(dict(value=value))
+        elif plugin == 'explainer':
+            check_explain_proto(value)
+            self._data_pool[plugin].append(dict(value=value.SerializeToString()))
         else:
             raise ValueError(f'No such plugin of {repr(plugin)}')
 

mindspore/train/summary/_summary_writer.py → mindspore/train/summary/writer.py

@@ -94,3 +94,12 @@ class LineageWriter(BaseWriter):
         """Write data to file."""
         if plugin in ('dataset_graph', 'train_lineage', 'eval_lineage', 'custom_lineage_data'):
             super().write(plugin, data)
+
+
+class ExplainWriter(BaseWriter):
+    """ExplainWriter for write explain data."""
+
+    def write(self, plugin, data):
+        """Write data to file."""
+        if plugin == 'explainer':
+            super().write(plugin, data)

tests/ut/python/train/summary/test_summary_collector.py

@@ -26,7 +26,7 @@ from mindspore import Tensor
 from mindspore import Parameter
 from mindspore.train.callback import SummaryCollector
 from mindspore.train.callback import _InternalCallbackParam
-from mindspore.train.summary.enum import ModeEnum, PluginEnum
+from mindspore.train.summary.enums import ModeEnum, PluginEnum
 from mindspore.train.summary import SummaryRecord
 from mindspore.nn import Cell
 from mindspore.nn.optim.optimizer import Optimizer