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docs: apply type_one_side=True to se_a and se_r (deepmodeling#3364)
Fix deepmodeling#2265. Signed-off-by: Jinzhe Zeng <[email protected]>
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doc/model/train-se-e2-r.md

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@@ -59,6 +59,7 @@ The training input script is very similar to that of [`se_e2_a`](train-se-e2-a.m
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"rcut_smth": 0.50,
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"rcut": 6.00,
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"neuron": [5, 10, 20],
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"type_one_side": true,
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"resnet_dt": false,
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"seed": 1,
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"_comment": " that's all"

doc/train/multi-task-training.md

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@@ -75,15 +75,16 @@ You can first train a multi-task model using input script with the following {re
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"rcut_smth": 0.5,
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"rcut": 6.0,
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"neuron": [25, 50, 100],
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"type_one_side": true
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},
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"fitting_net_dict": {
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"water_dipole": {
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"type": "dipole",
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"neuron": [100, 100, 100],
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"neuron": [100, 100, 100]
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},
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"water_ener": {
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"neuron": [240, 240, 240],
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"resnet_dt": true,
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"resnet_dt": true
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}
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},
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}

examples/dos/train/input.json

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],
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"resnet_dt": false,
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"axis_neuron": 8,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1
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},

examples/fparam/train/input.json

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],
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"resnet_dt": false,
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"axis_neuron": 8,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1
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},

examples/fparam/train/input_aparam.json

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],
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"resnet_dt": false,
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"axis_neuron": 8,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1
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},

examples/nopbc/train/input.json

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],
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"resnet_dt": false,
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"axis_neuron": 12,
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"type_one_side": true,
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"seed": 1,
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"_comment2": " that's all"
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},

examples/spin/se_e2_a/input.json

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],
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"resnet_dt": false,
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"axis_neuron": 16,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1,
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"_comment2": " that's all"

examples/water/d3/input.json

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],
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"resnet_dt": false,
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"axis_neuron": 16,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1,
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"_comment2": " that's all"

examples/water/dplr/train/dw.json

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],
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"resnet_dt": false,
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"axis_neuron": 8,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1,
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"_comment2": " that's all"

examples/water/dplr/train/ener.json

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],
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"resnet_dt": false,
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"axis_neuron": 8,
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"type_one_side": true,
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"precision": "float64",
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"seed": 3458359619,
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"_comment2": " that's all"

examples/water/hybrid/input.json

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],
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"resnet_dt": false,
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"axis_neuron": 4,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1,
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"_comment2": " that's all"
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],
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"resnet_dt": false,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1,
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"_comment3": " that's all"

examples/water/se_e2_a/input.json

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],
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"resnet_dt": false,
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"axis_neuron": 16,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1,
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"_comment2": " that's all"

examples/water/se_e2_a/input_torch.json

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],
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"resnet_dt": false,
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"axis_neuron": 16,
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"type_one_side": true,
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"seed": 1,
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"_comment": " that's all"
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},

examples/water/se_e2_a_mixed_prec/input.json

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],
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"resnet_dt": false,
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"axis_neuron": 16,
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"type_one_side": true,
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"seed": 1,
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"_comment2": " that's all"
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},

examples/water/se_e2_r/input.json

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],
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"resnet_dt": false,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1,
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"_comment2": " that's all"

examples/water/zbl/input.json

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],
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"resnet_dt": false,
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"axis_neuron": 16,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1,
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"_comment2": " that's all"

examples/water_multi_task/ener_dipole/input.json

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],
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"resnet_dt": false,
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"axis_neuron": 16,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1,
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"_comment2": " that's all"

examples/water_tensor/dipole/dipole_input.json

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],
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"resnet_dt": false,
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"axis_neuron": 6,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1,
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"_comment2": " that's all"

examples/water_tensor/polar/polar_input.json

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],
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"resnet_dt": false,
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"axis_neuron": 16,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1,
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"_comment2": " that's all"

examples/zinc_protein/zinc_se_a_mask.json

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],
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"resnet_dt": true,
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"axis_neuron": 16,
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"type_one_side": true,
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"precision": "float64",
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"seed": 1,
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"_comment2": " that's all"

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