mindspore-Ecosystem
/
mindspore
21
0
Fork 27
Code Issues Pull Requests 6 Projects Releases Wiki Activity

Delete the last remaining set_dynamic_columns interface part

This commit is contained in:
liu-yongqi-63 2022-11-07 16:12:16 +08:00
parent 44ad905e2a
commit 78cd9806b6
2 changed files with 0 additions and 21 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

20
mindspore/python/mindspore/dataset/engine/datasets.py
View File

@ -334,9 +334,6 @@ class Dataset:
self.saved_output_shapes = None self.saved_output_shapes = None
self.estimated_output_shapes = None self.estimated_output_shapes = None
self.runtime_context = None self.runtime_context = None
self.dynamic_setting = [False, None]
self.saved_min_shapes = None
self.saved_max_shapes = None
self._col_names = None self._col_names = None
self.dataset_size = None self.dataset_size = None
self._batch_size = None self._batch_size = None
@ -1644,23 +1641,6 @@ class Dataset:
return self.dataset_size return self.dataset_size
@staticmethod
def __check_dynamic_column_name(dynamic_columns, dataset_columns):
for column in dynamic_columns:
if column not in dataset_columns:
raise RuntimeError("dynamic column [" + column + "] does not match any column in dataset: " +
str(dataset_columns))
@staticmethod
def __check_dynamic_column_shape(data, col, dynamic_columns):
shape_mismatch = "dynamic column [" + col + "] with shape " + str(dynamic_columns[col]) + \
" does not match dataset column [" + col + "] with shape " + str(list(data[col].shape))
if data[col].ndim != len(dynamic_columns[col]):
raise RuntimeError(shape_mismatch)
for dim in range(len(dynamic_columns[col])):
if dynamic_columns[col][dim] is not None and dynamic_columns[col][dim] != data[col].shape[dim]:
raise RuntimeError(shape_mismatch)
def num_classes(self): def num_classes(self):
""" """
Get the number of classes in a dataset. Get the number of classes in a dataset.

1
tests/dataset_mock.py
View File

@ -30,7 +30,6 @@ class MindData:
self._output_shapes = output_shapes self._output_shapes = output_shapes
self._input_indexs = input_indexs self._input_indexs = input_indexs
self._iter_num = 0 self._iter_num = 0
self.dynamic_setting = [False, None]
def get_dataset_size(self): def get_dataset_size(self):
return self._size return self._size