Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.
|
|
5 years ago | |
|---|---|---|
| .. | ||
| __init__.py | 5 years ago | |
| add.py | 5 years ago | |
| addn.py | 5 years ago | |
| apply_momentum.py | 5 years ago | |
| argmax.py | 5 years ago | |
| assign_add.py | 5 years ago | |
| batchmatmul.py | 5 years ago | |
| bias_add.py | 5 years ago | |
| bias_add_grad.py | 5 years ago | |
| broadcast_util.py | 5 years ago | |
| cast.py | 5 years ago | |
| clear_zero.py | 5 years ago | |
| conv.py | 5 years ago | |
| conv_backprop_filter.py | 5 years ago | |
| conv_backprop_input.py | 5 years ago | |
| conv_bn1.py | 5 years ago | |
| div.py | 5 years ago | |
| equal.py | 5 years ago | |
| equal_count.py | 5 years ago | |
| exp.py | 5 years ago | |
| five2four.py | 5 years ago | |
| floordiv.py | 5 years ago | |
| four2five.py | 5 years ago | |
| fused_batch_norm.py | 5 years ago | |
| fused_batch_norm_grad.py | 5 years ago | |
| fused_batchnorm_infer.py | 5 years ago | |
| fused_bn1.py | 5 years ago | |
| fused_bn2.py | 5 years ago | |
| fused_bn3.py | 5 years ago | |
| fused_bn_grad1.py | 5 years ago | |
| fused_bn_grad2.py | 5 years ago | |
| fused_bn_grad3.py | 5 years ago | |
| gather_v2.py | 5 years ago | |
| less.py | 5 years ago | |
| log.py | 5 years ago | |
| matmul.py | 5 years ago | |
| max.py | 5 years ago | |
| max_pool_with_argmax.py | 5 years ago | |
| mean.py | 5 years ago | |
| mean_grad.py | 5 years ago | |
| mul.py | 5 years ago | |
| neg.py | 5 years ago | |
| one_hot.py | 5 years ago | |
| prod_force_se_a.py | 5 years ago | |
| prod_force_se_a_grad.py | 5 years ago | |
| realdiv.py | 5 years ago | |
| reciprocal.py | 5 years ago | |
| reduce_mean.py | 5 years ago | |
| relu.py | 5 years ago | |
| relu_grad.py | 5 years ago | |
| reshape.py | 5 years ago | |
| softmax.py | 5 years ago | |
| sparse_softmax_cross_entropy_with_logits.py | 5 years ago | |
| strided_slice.py | 5 years ago | |
| sub.py | 5 years ago | |
| sum.py | 5 years ago | |
| tile.py | 5 years ago | |
| zeros_like.py | 5 years ago | |
AKG(Auto Kernel Generator)对深度神经网络中的算子进行优化,并提供特定模式下的算子自动融合功能。AKG与MindSpore的图算融合功能协同工作,可提升在不同硬件后端上运行网络的性能。
Python C++ Text Cuda CMake other