forked from mindspore-Ecosystem/mindspore
add param check for to_device and device_que
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@ -40,7 +40,7 @@ from mindspore import log as logger
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from . import samplers
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from .iterators import DictIterator, TupleIterator, DummyIterator, SaveOp
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from .validators import check_batch, check_shuffle, check_map, check_filter, check_repeat, check_skip, check_zip, \
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check_rename, check_numpyslicesdataset, \
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check_rename, check_numpyslicesdataset, check_device_send, \
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check_take, check_project, check_imagefolderdatasetv2, check_mnist_cifar_dataset, check_manifestdataset, \
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check_tfrecorddataset, check_vocdataset, check_cocodataset, check_celebadataset, check_minddataset, \
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check_generatordataset, check_sync_wait, check_zip_dataset, check_add_column, check_textfiledataset, check_concat, \
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@ -952,6 +952,7 @@ class Dataset:
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raise TypeError("apply_func must return a dataset.")
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return dataset
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@check_device_send
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def device_que(self, prefetch_size=None, send_epoch_end=True):
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"""
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Return a transferredDataset that transfer data through device.
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@ -970,6 +971,7 @@ class Dataset:
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"""
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return self.to_device(send_epoch_end=send_epoch_end)
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@check_device_send
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def to_device(self, send_epoch_end=True):
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"""
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Transfer data through CPU, GPU or Ascend devices.
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@ -652,6 +652,25 @@ def check_positive_int32(method):
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return new_method
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def check_device_send(method):
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"""check the input argument for to_device and device_que."""
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@wraps(method)
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def new_method(self, *args, **kwargs):
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param, param_dict = parse_user_args(method, *args, **kwargs)
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para_list = list(param_dict.keys())
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if "prefetch_size" in para_list:
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if param[0] is not None:
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check_pos_int32(param[0], "prefetch_size")
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type_check(param[1], (bool,), "send_epoch_end")
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else:
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type_check(param[0], (bool,), "send_epoch_end")
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return method(self, *args, **kwargs)
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return new_method
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def check_zip(method):
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"""check the input arguments of zip."""
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