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Update dp_v3.md (#136)
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@@ -20,28 +20,28 @@ DeePMD-kit v3 implements a flexible and pluggable backend framework, providing a
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| Function | TensorFlow | PyTorch | JAX | DP |
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|------------------------------|------------|---------|------|------|
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| Local frame descriptor || | | |
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| Local frame descriptor || | | |
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| se_e2_a descriptor |||||
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| se_e2_r descriptor |||||
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| se_e3 descriptor |||||
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| se_e3_tebd descriptor | ||||
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| se_e3_tebd descriptor | ||||
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| DPA-1 descriptor |||||
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| DPA-2 descriptor | ||||
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| DPA-2 descriptor | ||||
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| Hybrid descriptor |||||
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| Fit energy |||||
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| Fit dipole |||||
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| Fit polar |||||
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| Fit DOS |||||
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| Fit properties | ||||
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| Fit properties | ||||
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| ZBL |||||
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| DPLR || | | |
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| DPLR || | | |
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| DPRc |||||
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| Spin ||| ||
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| Ladder calculation |||| |
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| Model training ||| | |
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| Model compression ||| | |
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| Spin ||| ||
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| Ladder calculation |||| |
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| Model training ||| | |
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| Model compression ||| | |
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| Python inference |||||
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| C++ inference |||| |
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| C++ inference |||| |
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The main features of the multi-backend framework include:

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