diff --git a/docs/source/cls/custom_dataset.md b/docs/source/cls/custom_dataset.md index e39dcf12d..b7c06cd7a 100644 --- a/docs/source/cls/custom_dataset.md +++ b/docs/source/cls/custom_dataset.md @@ -108,7 +108,7 @@ for epoch in range(1, epochs + 1): optimizer.clear_grad() # Calculate loss - avg_loss = loss.numpy()[0] + avg_loss = float(loss) # Calculate metrics preds = paddle.argmax(logits, axis=1) diff --git a/docs/tutorial/cls/cls_tutorial.ipynb b/docs/tutorial/cls/cls_tutorial.ipynb index 56b488adc..3cee64991 100644 --- a/docs/tutorial/cls/cls_tutorial.ipynb +++ b/docs/tutorial/cls/cls_tutorial.ipynb @@ -509,7 +509,7 @@ " optimizer.clear_grad()\n", "\n", " # Calculate loss\n", - " avg_loss += loss.numpy()[0]\n", + " avg_loss += float(loss)\n", "\n", " # Calculate metrics\n", " preds = paddle.argmax(logits, axis=1)\n", diff --git a/paddlespeech/cls/exps/panns/train.py b/paddlespeech/cls/exps/panns/train.py index fba38a01c..133893081 100644 --- a/paddlespeech/cls/exps/panns/train.py +++ b/paddlespeech/cls/exps/panns/train.py @@ -101,7 +101,7 @@ if __name__ == "__main__": optimizer.clear_grad() # Calculate loss - avg_loss += loss.numpy()[0] + avg_loss += float(loss) # Calculate metrics preds = paddle.argmax(logits, axis=1) diff --git a/paddlespeech/kws/exps/mdtc/train.py b/paddlespeech/kws/exps/mdtc/train.py index 94e45d590..d5bb5e020 100644 --- a/paddlespeech/kws/exps/mdtc/train.py +++ b/paddlespeech/kws/exps/mdtc/train.py @@ -110,7 +110,7 @@ if __name__ == '__main__': optimizer.clear_grad() # Calculate loss - avg_loss += loss.numpy()[0] + avg_loss += float(loss) # Calculate metrics num_corrects += corrects diff --git a/tests/unit/tts/test_pwg.py b/tests/unit/tts/test_pwg.py index 78cb34f25..10c82c9fd 100644 --- a/tests/unit/tts/test_pwg.py +++ b/tests/unit/tts/test_pwg.py @@ -13,6 +13,7 @@ # limitations under the License. import paddle import torch +from paddle.device.cuda import synchronize from parallel_wavegan.layers import residual_block from parallel_wavegan.layers import upsample from parallel_wavegan.models import parallel_wavegan as pwgan @@ -24,7 +25,6 @@ from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator from paddlespeech.t2s.models.parallel_wavegan import ResidualBlock from paddlespeech.t2s.models.parallel_wavegan import ResidualPWGDiscriminator from paddlespeech.t2s.utils.layer_tools import summary -from paddlespeech.t2s.utils.profile import synchronize paddle.set_device("gpu:0") device = torch.device("cuda:0")