Comments (3)
For example, you can setting param training=True
or training=False
in function vgg_create_dataset
You can visit this page to get more information
from mindspore.
ok,in this way, I have to put train data and valid data in different dir. This is not a good way because the standard cifar10 dataset put the train data and valid data in the same dir. Like the cirfar10 dataset in other frameworks, this work should be done in de.Cifar10Dataset, rather than the users themselves.
from mindspore.
Good advice
At first, we are considering the unification of API parameters. API parameter unification is also a way of user experience.
If some API user experience is not good, we will improve it.
Thanks
from mindspore.
Related Issues (20)
- [Bug] mindspore.ops.amax/amin perform differently between cpu and gpu when axis=1
- [Bug] mindspore.ops.median perform differently between cpu and gpu
- [Bug] mindspore.ops.argsort/sort perform differently between cpu and gpu. HOT 6
- mindspore框架同步问题 HOT 1
- data sink mode does not work HOT 4
- Pynative Train,OOM! HOT 2
- 希望能支持ParameterDIct HOT 1
- mindspore.ops.reciprocal会导致完全一致的代码在CPU和GPU上的运行结果存在巨大差异
- mindspore.nn.Sigmoid() causes the code to run successfully on the CPU but fails on the GPU HOT 1
- mindspore.nn.Conv1d and mindspore.nn.Conv1dtranspose 's shapes are four-dimensional
- AdaptiveAvgPool2D's exception checking gives relevant code in the kernel code that are prone to security issues HOT 1
- 官网案例--快速入门报错RunimeError: the kernel ArgMaxExt unregistered
- 集成TensorRT相关问题 HOT 1
- lack of output shape checking in mindspore.nn.Conv2d
- Lack of description of the range of values for in_channels and out_channels in the mindspore.nn.Dense documentation HOT 1
- Wrong parameter name in error message for BatchNorm1D HOT 1
- Mindspore.nn.Conv2d lacks checks on convolutional kernel shapes
- Request for output_padding Parameter Support in Conv1dTranspose and Conv2dTranspose Layers
- The same input runs mindspore.ops.reciprocal on both CPU and GPU outputting one as INF and one as 0
- MultiHeadAttention.construct does not accept named args
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