!580 store data with default datatype when call numpy.array in TensorContainer...

!580 store data with default datatype when call numpy.array in TensorContainer and remove limitaion of datatype
Merge pull request !580 from wangshuide/wsd0827_r07

mindinsight/datavisual/common/exceptions.py

@@ -188,15 +188,6 @@ class ResponseDataExceedMaxValueError(MindInsightException):
                                                               http_code=400)
 
 
-class DataTypeError(MindInsightException):
-    """Data_type does not support."""
-    def __init__(self, error_detail):
-        error_msg = f'Data type does not support. Detail: {error_detail}'
-        super(DataTypeError, self).__init__(DataVisualErrors.DATA_TYPE_NOT_SUPPORT,
-                                            error_msg,
-                                            http_code=400)
-
-
 class TrainJobDetailNotInCacheError(MindInsightException):
     """Detail info of given train job is not in cache."""
     def __init__(self, error_detail="no detail provided."):

mindinsight/datavisual/data_transform/tensor_container.py

@@ -15,7 +15,6 @@
 """Tensor data container."""
 import numpy as np
 
-from mindinsight.datavisual.common.exceptions import DataTypeError
 from mindinsight.datavisual.common.log import logger
 from mindinsight.datavisual.data_transform.histogram import Histogram, Bucket
 from mindinsight.datavisual.proto_files import mindinsight_anf_ir_pb2 as anf_ir_pb2
@@ -253,19 +252,14 @@ class TensorContainer:
         Get ndarray of tensor.
 
         Args:
-            tensor (float16|float32|float64): tensor data.
+            tensor (mindinsight_anf_ir.proto.DataType): tensor data.
 
         Returns:
             numpy.ndarray, ndarray of tensor.
-
-        Raises:
-            DataTypeError, If data type of tensor is not among float16 or float32 or float64.
         """
         data_type_str = anf_ir_pb2.DataType.Name(self.data_type)
         if data_type_str == 'DT_FLOAT16':
             return np.array(tuple(tensor), dtype=np.float16).reshape(self.dims)
         if data_type_str == 'DT_FLOAT32':
             return np.array(tuple(tensor), dtype=np.float32).reshape(self.dims)
-        if data_type_str == 'DT_FLOAT64':
-            return np.array(tuple(tensor), dtype=np.float64).reshape(self.dims)
-        raise DataTypeError("Data type: {}.".format(data_type_str))
+        return np.array(tuple(tensor)).reshape(self.dims)

mindinsight/utils/constant.py

@@ -77,7 +77,6 @@ class DataVisualErrors(Enum):
     TENSOR_NOT_EXIST = 18
     MAX_RESPONSE_DATA_EXCEEDED_ERROR = 19
     STEP_TENSOR_DATA_NOT_IN_CACHE = 20
-    DATA_TYPE_NOT_SUPPORT = 21
 
 
 class ScriptConverterErrors(Enum):