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use simple present tense of 'pass' #135

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -172,7 +172,7 @@ If you have TensorFlow installed, you can see TensorBoard logs in `./checkpoints
- 1. Using another generator which was trained on generating single images (e.g., pix2pixHD) by specifying `--use_single_G`. This is the option we use in the test scripts.
- 2. Using the first frame in the real sequence by specifying `--use_real_img`.
- 3. Forcing the model to also synthesize the first frame by specifying `--no_first_img`. This must be trained separately before inference.
- The way we train the model is as follows: suppose we have 8 GPUs, 4 for generators and 4 for discriminators, and we want to train 28 frames. Also, assume each GPU can generate only one frame. The first GPU generates the first frame, and pass it to the next GPU, and so on. After the 4 frames are generated, they are passed to the 4 discriminator GPUs to compute the losses. Then the last generated frame becomes input to the next batch, and the next 4 frames in the training sequence are loaded into GPUs. This is repeated 7 times (4 x 7 = 28), to train all the 28 frames.
- The way we train the model is as follows: suppose we have 8 GPUs, 4 for generators and 4 for discriminators, and we want to train 28 frames. Also, assume each GPU can generate only one frame. The first GPU generates the first frame, and passes it to the next GPU, and so on. After the 4 frames are generated, they are passed to the 4 discriminator GPUs to compute the losses. Then the last generated frame becomes input to the next batch, and the next 4 frames in the training sequence are loaded into GPUs. This is repeated 7 times (4 x 7 = 28), to train all the 28 frames.
- Some important flags:
- `n_gpus_gen`: the number of GPUs to use for generators (while the others are used for discriminators). We separate generators and discriminators into different GPUs since when dealing with high resolutions, even one frame cannot fit in a GPU. If the number is set to `-1`, there is no separation and all GPUs are used for both generators and discriminators (only works for low-res images).
- `n_frames_G`: the number of input frames to feed into the generator network; i.e., `n_frames_G - 1` is the number of frames we look into the past. the default is 3 (conditioned on previous two frames).
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