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*Total -- 12,161.24kb -> 9,707.52kb (20.18%) /TensorFlow/LanguageModeling/BERT/data/images/images_nvlamb.png -- 86.10kb -> 32.65kb (62.08%) /PyTorch/LanguageModeling/BERT/images/nvlamb.png -- 86.10kb -> 32.65kb (62.08%) /TensorFlow/Classification/ConvNets/se-resnext101-32x4d/imgs/SEArch.png -- 76.28kb -> 29.02kb (61.95%) /PyTorch/Classification/ConvNets/se-resnext101-32x4d/img/SEArch.png -- 76.28kb -> 29.02kb (61.95%) /TensorFlow/LanguageModeling/BERT/data/images/images_nvlamb_2.png -- 88.62kb -> 33.91kb (61.74%) /CUDA-Optimized/FastSpeech/materials/loss.png -- 196.71kb -> 84.67kb (56.96%) /TensorFlow2/Segmentation/UNet_Medical/images/training_throughput.png -- 13.55kb -> 5.95kb (56.07%) /TensorFlow2/Segmentation/UNet_Medical/images/inference_throughput.png -- 13.83kb -> 6.08kb (56.06%) /PyTorch/Detection/SSD/img/ssd_diagram.png -- 51.71kb -> 26.76kb (48.25%) /FasterTransformer/v2.1/images/encoder-decoding-2.png -- 69.97kb -> 36.66kb (47.61%) /FasterTransformer/v3.0/images/encoder-decoding-2.png -- 69.97kb -> 36.66kb (47.61%) /PyTorch/Classification/ConvNets/img/ACCvsFLOPS.png -- 47.29kb -> 25.96kb (45.11%) /PyTorch/Classification/ConvNets/resnext101-32x4d/img/top5_plot.png -- 29.02kb -> 16.65kb (42.63%) /PyTorch/Classification/ConvNets/resnet50v1.5/img/loss_plot.png -- 30.31kb -> 17.47kb (42.36%) /FasterTransformer/v2.1/images/effective_transformer.png -- 60.75kb -> 35.04kb (42.31%) /FasterTransformer/v3.0/images/effective_transformer.png -- 60.75kb -> 35.04kb (42.31%) /PyTorch/Classification/ConvNets/resnet50v1.5/img/top5_plot.png -- 31.19kb -> 18.02kb (42.24%) /PyTorch/Classification/ConvNets/resnext101-32x4d/img/loss_plot.png -- 28.38kb -> 16.41kb (42.19%) /PyTorch/Classification/ConvNets/se-resnext101-32x4d/img/loss_plot.png -- 30.72kb -> 17.90kb (41.71%) /PyTorch/Classification/ConvNets/se-resnext101-32x4d/img/top1_plot.png -- 31.93kb -> 18.67kb (41.53%) /PyTorch/Classification/ConvNets/resnext101-32x4d/img/top1_plot.png -- 32.02kb -> 18.74kb (41.47%) /PyTorch/Classification/ConvNets/se-resnext101-32x4d/img/top5_plot.png -- 28.87kb -> 16.91kb (41.43%) /PyTorch/Classification/ConvNets/resnet50v1.5/img/top1_plot.png -- 34.11kb -> 20.08kb (41.15%) /PyTorch/Classification/ConvNets/img/LATvsTHR.png -- 61.13kb -> 37.66kb (38.39%) /TensorFlow/LanguageModeling/BERT/data/images/bert_pipeline.png -- 207.54kb -> 133.29kb (35.77%) /PyTorch/SpeechSynthesis/FastPitch/img/fastpitch_model.png -- 29.18kb -> 19.11kb (34.5%) /TensorFlow/Segmentation/UNet_Industrial/images/unet.png -- 668.53kb -> 447.82kb (33.01%) /TensorFlow/Translation/GNMT/img/diagram.png -- 347.25kb -> 248.60kb (28.41%) /PyTorch/Translation/GNMT/img/diagram.png -- 347.25kb -> 248.60kb (28.41%) /PyTorch/SpeechSynthesis/Tacotron2/img/waveglow_arch.png -- 88.12kb -> 65.50kb (25.68%) /TensorFlow/Segmentation/UNet_3D_Medical/images/unet3d.png -- 19.52kb -> 14.60kb (25.24%) /PyTorch/LanguageModeling/Transformer-XL/pytorch/img/model.png -- 694.46kb -> 519.75kb (25.16%) /TensorFlow/LanguageModeling/Transformer-XL/tf/img/model.png -- 694.46kb -> 519.75kb (25.16%) /CUDA-Optimized/FastSpeech/materials/fastspeech_arch.png -- 324.90kb -> 243.56kb (25.03%) /TensorFlow/Segmentation/UNet_Medical/images/unet.png -- 100.85kb -> 75.65kb (24.98%) /TensorFlow2/Segmentation/UNet_Medical/images/unet.png -- 100.85kb -> 75.65kb (24.98%) /PyTorch/SpeechSynthesis/Tacotron2/img/tacotron2_fp16_loss.png -- 28.16kb -> 21.59kb (23.34%) /PyTorch/SpeechSynthesis/Tacotron2/img/waveglow_a100_amp_loss.png -- 20.49kb -> 15.71kb (23.33%) /PyTorch/Translation/Transformer/decorrelation_threshold.png -- 173.12kb -> 133.51kb (22.88%) /PyTorch/SpeechSynthesis/Tacotron2/img/tacotron2_a100_amp_loss.png -- 19.05kb -> 14.73kb (22.66%) /PyTorch/SpeechSynthesis/Tacotron2/img/waveglow_fp32_loss.png -- 50.44kb -> 39.14kb (22.39%) /TensorFlow/Recommendation/VAE-CF/images/autoencoder.png -- 80.94kb -> 63.05kb (22.11%) /TensorFlow/Segmentation/VNet/images/V-Net_TF1_conv.png -- 44.48kb -> 34.67kb (22.04%) /PyTorch/SpeechSynthesis/Tacotron2/img/tacotron2_a100_tf32_loss.png -- 19.39kb -> 15.19kb (21.66%) /PyTorch/SpeechSynthesis/Tacotron2/img/waveglow_a100_tf32_loss.png -- 18.48kb -> 14.49kb (21.61%) /PyTorch/LanguageModeling/Transformer-XL/pytorch/img/training_loss_large_multinode.png -- 49.23kb -> 39.47kb (19.82%) /PyTorch/SpeechSynthesis/Tacotron2/img/Taco2WG_train_loss.png -- 52.14kb -> 41.82kb (19.8%) /PyTorch/LanguageModeling/BERT/images/loss_curves.png -- 50.24kb -> 40.49kb (19.4%) /TensorFlow/Segmentation/VNet/images/vnet.png -- 166.44kb -> 134.18kb (19.38%) /TensorFlow/Segmentation/UNet_Medical/images/U-NetMed_TF1_conv.png -- 42.79kb -> 34.53kb (19.3%) /PyTorch/Translation/Transformer/transformer.png -- 191.70kb -> 154.77kb (19.27%) /TensorFlow2/Segmentation/UNet_Medical/images/U-NetMed_TF2_conv.png -- 34.60kb -> 28.12kb (18.75%) /PyTorch/SpeechRecognition/Jasper/images/jasper_dense_residual.png -- 246.20kb -> 201.10kb (18.32%) /TensorFlow/Recommendation/NCF/img/hr_histogram.png -- 27.49kb -> 22.52kb (18.1%) /TensorFlow2/Segmentation/MaskRCNN/images/MaskRCNN_TF1_conv.png -- 60.93kb -> 50.16kb (17.67%) /PyTorch/Recommendation/NCF/img/ncf_diagram.png -- 174.41kb -> 144.95kb (16.89%) /TensorFlow2/Segmentation/MaskRCNN/images/MaskRCNN_TF2_conv.png -- 62.88kb -> 52.50kb (16.51%) /PyTorch/SpeechSynthesis/Tacotron2/img/waveglow_fp16_loss.png -- 69.51kb -> 58.21kb (16.27%) /PyTorch/SpeechRecognition/Jasper/images/jasper_model.png -- 295.17kb -> 247.51kb (16.15%) /TensorFlow/Recommendation/NCF/img/ncf_diagram.png -- 128.24kb -> 107.53kb (16.15%) /PyTorch/LanguageModeling/Transformer-XL/pytorch/img/training_loss_large.png -- 76.38kb -> 64.13kb (16.04%) /PyTorch/Translation/GNMT/img/training_loss.png -- 295.10kb -> 251.62kb (14.74%) /PyTorch/Segmentation/MaskRCNN/img/loss_curve.png -- 41.83kb -> 35.88kb (14.22%) /TensorFlow/Segmentation/UNet_3D_Medical/images/U-Net3D_TF1_conv.png -- 104.63kb -> 90.56kb (13.45%) /PyTorch/Recommendation/DLRM/triton/img/lat_vs_thr.png -- 550.26kb -> 477.27kb (13.26%) /PyTorch/SpeechSynthesis/Tacotron2/img/tacotron2_arch.png -- 196.83kb -> 171.84kb (12.7%) /TensorFlow/Segmentation/UNet_Industrial/images/dagm2007.png -- 596.90kb -> 521.94kb (12.56%) /PyTorch/SpeechSynthesis/FastPitch/img/loss_fp32.png -- 32.30kb -> 28.29kb (12.42%) /PyTorch/Recommendation/NCF/img/dgx1v16_curve.png -- 41.65kb -> 36.54kb (12.27%) /TensorFlow/Recommendation/NCF/img/dgx1v16_curve.png -- 41.65kb -> 36.54kb (12.27%) /TensorFlow/Recommendation/NCF/img/dgx1v_32_curve.png -- 41.58kb -> 36.57kb (12.05%) /PyTorch/Recommendation/NCF/img/dgx2_curve.png -- 39.15kb -> 34.70kb (11.37%) /TensorFlow/Recommendation/NCF/img/dgx2_curve.png -- 39.15kb -> 34.70kb (11.37%) /PyTorch/SpeechSynthesis/FastPitch/img/loss_fp16.png -- 32.05kb -> 28.48kb (11.14%) /PyTorch/Translation/Transformer/bleu_relationship.png -- 10.21kb -> 9.08kb (11.09%) /PyTorch/LanguageModeling/Transformer-XL/pytorch/img/training_loss_base.png -- 254.14kb -> 226.64kb (10.82%) /PyTorch/SpeechSynthesis/Tacotron2/img/tacotron2_fp32_loss.png -- 29.15kb -> 26.11kb (10.45%) /PyTorch/SpeechSynthesis/Tacotron2/img/tacotron2_amp_loss.png -- 30.52kb -> 27.33kb (10.44%) /PyTorch/SpeechSynthesis/FastPitch/img/loss.png -- 47.92kb -> 43.33kb (9.57%) /PyTorch/SpeechSynthesis/FastPitch/img/pitch.png -- 23.55kb -> 21.91kb (6.97%) /PyTorch/Recommendation/NCF/img/hr_histogram.png -- 29.36kb -> 27.51kb (6.29%) /PyTorch/Recommendation/NCF/img/dgx1v_32_curve.png -- 40.93kb -> 38.79kb (5.23%) /TensorFlow/Classification/ConvNets/resnext101-32x4d/imgs/ResNeXtArch.png -- 78.06kb -> 74.24kb (4.9%) /PyTorch/Classification/ConvNets/resnext101-32x4d/img/ResNeXtArch.png -- 78.06kb -> 74.24kb (4.9%) /TensorFlow/Translation/GNMT/img/bleu_score.png -- 19.62kb -> 18.66kb (4.89%) /PyTorch/Detection/SSD/img/training_loss.png -- 23.55kb -> 22.47kb (4.6%) /PyTorch/Recommendation/DLRM/triton/img/dyn_batch_concurrency.png -- 27.34kb -> 26.16kb (4.31%) /TensorFlow/Segmentation/VNet/images/infer_p_vs_v.png -- 13.64kb -> 13.09kb (3.97%) /TensorFlow/LanguageModeling/Transformer-XL/tf/img/training_loss_base.png -- 16.86kb -> 16.28kb (3.46%) /PyTorch/Classification/ConvNets/triton/resnext101-32x4d/Latency-vs-Throughput-TensorRT.png -- 17.97kb -> 17.54kb (2.44%) /PyTorch/LanguageModeling/BERT/images/model.png -- 56.50kb -> 55.15kb (2.39%) /TensorFlow/Classification/ConvNets/resnet50v1.5/imgs/train_loss.png -- 31.61kb -> 30.89kb (2.27%) /TensorFlow/Detection/SSD/img/training_loss.png -- 16.71kb -> 16.36kb (2.08%) /PyTorch/SpeechRecognition/Jasper/images/triton_dynamic_batching.png -- 19.97kb -> 19.57kb (2%) /TensorFlow/Classification/ConvNets/se-resnext101-32x4d/imgs/train_loss.png -- 35.06kb -> 34.39kb (1.91%) /TensorFlow/Classification/ConvNets/resnext101-32x4d/imgs/train_loss.png -- 34.87kb -> 34.32kb (1.58%) /TensorFlow/Segmentation/VNet/images/8gpu_p_vs_v.png -- 14.73kb -> 14.50kb (1.56%) /TensorFlow/Recommendation/WideAndDeep/img/lc20.06.png -- 25.08kb -> 24.73kb (1.42%) /TensorFlow/Segmentation/VNet/images/1gpu_p_vs_v.png -- 13.89kb -> 13.70kb (1.39%) /PyTorch/Classification/ConvNets/triton/se-resnext101-32x4d/Performance-analysis-TensorRT-FP32.png -- 21.02kb -> 20.79kb (1.11%) /PyTorch/Segmentation/MaskRCNN/pytorch/demo/demo_e2e_mask_rcnn_X_101_32x8d_FPN_1x.png -- 894.07kb -> 886.23kb (0.88%) /PyTorch/Segmentation/MaskRCNN/pytorch/demo/demo_e2e_mask_rcnn_R_50_FPN_1x.png -- 898.65kb -> 890.92kb (0.86%) /TensorFlow/LanguageModeling/BERT/data/images/triton_bs_8.png -- 16.95kb -> 16.83kb (0.7%) /PyTorch/Classification/ConvNets/triton/resnet50/Latency-vs-Throughput-TensorRT.png -- 17.65kb -> 17.57kb (0.48%) /TensorFlow/LanguageModeling/BERT/data/images/triton_dynamic.png -- 20.43kb -> 20.34kb (0.42%) /PyTorch/SpeechRecognition/Jasper/images/triton_throughput_latency_summary.png -- 32.47kb -> 32.36kb (0.33%) /PyTorch/SpeechRecognition/Jasper/images/triton_static_batching_bs8.png -- 20.07kb -> 20.01kb (0.28%) /PyTorch/Classification/ConvNets/triton/se-resnext101-32x4d/Latency-vs-Throughput-TensorRT.png -- 17.55kb -> 17.51kb (0.24%) /PyTorch/SpeechRecognition/Jasper/images/triton_static_batching_bs1.png -- 20.15kb -> 20.11kb (0.2%) /PyTorch/Translation/Transformer/average_valid_loss.png -- 18.42kb -> 18.40kb (0.09%) Signed-off-by: ImgBotApp <ImgBotHelp@gmail.com>
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