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Download Modules/ControllabilityGAN/wgan/resnet_init.py from coolcoder613/MassivelyMultilingualTTS: direct link, hf CLI and curl.
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- Download file 728 Bytes
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https://huggingface.co/spaces/coolcoder613/MassivelyMultilingualTTS/resolve/main/Modules/ControllabilityGAN/wgan/resnet_init.py
- Command line
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hf download hf://spaces/coolcoder613/MassivelyMultilingualTTS/Modules/ControllabilityGAN/wgan/resnet_init.py
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curl -L -o resnet_init.py https://huggingface.co/spaces/coolcoder613/MassivelyMultilingualTTS/resolve/main/Modules/ControllabilityGAN/wgan/resnet_init.py
728 Bytes
| from Modules.ControllabilityGAN.wgan.init_weights import weights_init_D | |
| from Modules.ControllabilityGAN.wgan.init_weights import weights_init_G | |
| from Modules.ControllabilityGAN.wgan.resnet_1 import ResNet_D | |
| from Modules.ControllabilityGAN.wgan.resnet_1 import ResNet_G | |
| def init_resnet(parameters): | |
| critic = ResNet_D(parameters['data_dim'][-1], parameters['size'], nfilter=parameters['nfilter'], nfilter_max=parameters['nfilter_max']) | |
| generator = ResNet_G(parameters['data_dim'][-1], parameters['z_dim'], parameters['size'], nfilter=parameters['nfilter'], | |
| nfilter_max=parameters['nfilter_max']) | |
| generator.apply(weights_init_G) | |
| critic.apply(weights_init_D) | |
| return generator, critic | |