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@ -80,7 +80,7 @@ $ pip install tianshou
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If you use Anaconda or Miniconda, you can install Tianshou from conda-forge through the following command:
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If you use Anaconda or Miniconda, you can install Tianshou from conda-forge through the following command:
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```bash
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```bash
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$ conda install -c conda-forge tianshou
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$ conda install tianshou -c conda-forge
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```
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```
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You can also install with the newest version through GitHub:
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You can also install with the newest version through GitHub:
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@ -75,7 +75,7 @@ If you use Anaconda or Miniconda, you can install Tianshou from conda-forge thro
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.. code-block:: bash
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.. code-block:: bash
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$ conda -c conda-forge install tianshou
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$ conda install tianshou -c conda-forge
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You can also install with the newest version through GitHub:
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You can also install with the newest version through GitHub:
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@ -36,11 +36,11 @@ def miniblock(
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layers: List[nn.Module] = [linear_layer(input_size, output_size)]
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layers: List[nn.Module] = [linear_layer(input_size, output_size)]
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if norm_layer is not None:
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if norm_layer is not None:
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if isinstance(norm_args, tuple):
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if isinstance(norm_args, tuple):
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layers += [norm_layer(output_size, *norm_args)] # type: ignore
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layers += [norm_layer(output_size, *norm_args)]
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elif isinstance(norm_args, dict):
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elif isinstance(norm_args, dict):
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layers += [norm_layer(output_size, **norm_args)] # type: ignore
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layers += [norm_layer(output_size, **norm_args)]
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else:
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else:
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layers += [norm_layer(output_size)] # type: ignore
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layers += [norm_layer(output_size)]
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if activation is not None:
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if activation is not None:
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if isinstance(act_args, tuple):
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if isinstance(act_args, tuple):
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layers += [activation(*act_args)]
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layers += [activation(*act_args)]
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