From 3f7a5ed394a968d089ddb5b0ffbe4a598578eba4 Mon Sep 17 00:00:00 2001 From: linqingke Date: Mon, 21 Sep 2020 16:22:41 +0800 Subject: [PATCH] README A+X to A+K --- model_zoo/official/cv/alexnet/README.md | 2 +- .../cv/densenet121/scripts/run_distribute_eval.sh | 4 ++-- model_zoo/official/cv/faster_rcnn/README.md | 2 +- model_zoo/official/cv/googlenet/README.md | 2 +- model_zoo/official/cv/inceptionv3/README.md | 4 ++-- model_zoo/official/cv/lenet/README.md | 2 +- model_zoo/official/cv/lenet_quant/Readme.md | 2 +- model_zoo/official/cv/maskrcnn/README.md | 2 +- model_zoo/official/cv/mobilenetv2/README.md | 2 +- model_zoo/official/cv/mobilenetv2_quant/Readme.md | 2 +- model_zoo/official/cv/psenet/README.md | 2 +- model_zoo/official/cv/resnet/README.md | 8 ++++---- model_zoo/official/cv/resnet50_quant/Readme.md | 2 +- model_zoo/official/cv/resnet_thor/README.md | 2 +- model_zoo/official/cv/resnext50/README.md | 2 +- model_zoo/official/cv/ssd/README.md | 2 +- model_zoo/official/cv/unet/README.md | 2 +- model_zoo/official/cv/vgg16/README.md | 2 +- model_zoo/official/cv/warpctc/README.md | 2 +- model_zoo/official/cv/yolov3_resnet18/README.md | 2 +- model_zoo/official/nlp/bert/README.md | 4 ++-- model_zoo/official/nlp/bert_thor/README.md | 2 +- model_zoo/official/nlp/mass/README.md | 2 +- model_zoo/official/nlp/tinybert/README.md | 2 +- model_zoo/official/recommend/deepfm/README.md | 2 +- model_zoo/research/cv/ssd_ghostnet/README.md | 2 +- 26 files changed, 32 insertions(+), 32 deletions(-) diff --git a/model_zoo/official/cv/alexnet/README.md b/model_zoo/official/cv/alexnet/README.md index e9c8007c0fd..47d07e7617b 100644 --- a/model_zoo/official/cv/alexnet/README.md +++ b/model_zoo/official/cv/alexnet/README.md @@ -193,7 +193,7 @@ Before running the command below, please check the checkpoint path used for eval | Parameters | Ascend | GPU | | -------------------------- | ------------------------------------------------------------| -------------------------------------------------| -| Resource | Ascend 910; CPU 2.60GHz, 56cores; Memory, 314G | NV SMX2 V100-32G | +| Resource | Ascend 910; CPU 2.60GHz, 192cores; Memory, 755G | NV SMX2 V100-32G | | uploaded Date | 06/09/2020 (month/day/year) | 17/09/2020 (month/day/year) | | MindSpore Version | 0.5.0-beta | 0.7.0-beta | | Dataset | CIFAR-10 | CIFAR-10 | diff --git a/model_zoo/official/cv/densenet121/scripts/run_distribute_eval.sh b/model_zoo/official/cv/densenet121/scripts/run_distribute_eval.sh index 9258610cd83..f1ee68417bc 100644 --- a/model_zoo/official/cv/densenet121/scripts/run_distribute_eval.sh +++ b/model_zoo/official/cv/densenet121/scripts/run_distribute_eval.sh @@ -16,8 +16,8 @@ echo "==============================================================================================================" echo "Please run the scipt as: " -echo "sh run_distribute_eval.sh DEVICE_NUM RANK_TABLE_FILE DATASET CKPT_PATH" -echo "for example: sh run_distribute_train.sh 8 /data/hccl.json /path/to/dataset /path/to/ckpt" +echo "sh scripts/run_distribute_eval.sh DEVICE_NUM RANK_TABLE_FILE DATASET CKPT_PATH" +echo "for example: sh scripts/run_distribute_train.sh 8 /data/hccl.json /path/to/dataset /path/to/ckpt" echo "It is better to use absolute path." echo "=================================================================================================================" diff --git a/model_zoo/official/cv/faster_rcnn/README.md b/model_zoo/official/cv/faster_rcnn/README.md index 085118239b9..fd3fdc88971 100644 --- a/model_zoo/official/cv/faster_rcnn/README.md +++ b/model_zoo/official/cv/faster_rcnn/README.md @@ -207,7 +207,7 @@ Eval result will be stored in the example path, whose folder name is "eval". Und | Parameters | FasterRcnn | | -------------------------- | ----------------------------------------------------------- | | Model Version | V1 | -| Resource | Ascend 910 ；CPU 2.60GHz，56cores；Memory，314G | +| Resource | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G | | uploaded Date | 08/31/2020 (month/day/year) | | MindSpore Version | 0.7.0-beta | | Dataset | COCO2017 | diff --git a/model_zoo/official/cv/googlenet/README.md b/model_zoo/official/cv/googlenet/README.md index 422ebd676af..2f95297f167 100644 --- a/model_zoo/official/cv/googlenet/README.md +++ b/model_zoo/official/cv/googlenet/README.md @@ -300,7 +300,7 @@ Parameters for both training and evaluation can be set in config.py | Parameters | Ascend | GPU | | -------------------------- | ----------------------------------------------------------- | ---------------------- | | Model Version | Inception V1 | Inception V1 | -| Resource | Ascend 910 ；CPU 2.60GHz，56cores；Memory，314G | NV SMX2 V100-32G | +| Resource | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G | NV SMX2 V100-32G | | uploaded Date | 08/31/2020 (month/day/year) | 08/20/2020 (month/day/year) | | MindSpore Version | 0.7.0-alpha | 0.6.0-alpha | | Dataset | CIFAR-10 | CIFAR-10 | diff --git a/model_zoo/official/cv/inceptionv3/README.md b/model_zoo/official/cv/inceptionv3/README.md index aa7dcff04d0..a59a9446137 100644 --- a/model_zoo/official/cv/inceptionv3/README.md +++ b/model_zoo/official/cv/inceptionv3/README.md @@ -222,7 +222,7 @@ metric: {'Loss': 1.778, 'Top1-Acc':0.788, 'Top5-Acc':0.942} | Parameters | Ascend | GPU | | -------------------------- | ---------------------------------------------- | ------------------------- | | Model Version | InceptionV3 | InceptionV3 | -| Resource | Ascend 910, cpu:2.60GHz 56cores, memory:314G | NV SMI V100-16G(PCIE),cpu:2.10GHz 96cores, memory:250G | +| Resource | Ascend 910, cpu:2.60GHz 192cores, memory:755G | NV SMI V100-16G(PCIE),cpu:2.10GHz 96cores, memory:250G | | uploaded Date | 08/21/2020 | 08/21/2020 | | MindSpore Version | 0.6.0-beta | 0.6.0-beta | | Dataset | 1200k images | 1200k images | @@ -244,7 +244,7 @@ metric: {'Loss': 1.778, 'Top1-Acc':0.788, 'Top5-Acc':0.942} | Parameters | Ascend | | ------------------- | --------------------------- | | Model Version | InceptionV3 | -| Resource | Ascend 910, cpu:2.60GHz 56cores, memory:314G | +| Resource | Ascend 910, cpu:2.60GHz 192cores, memory:755G | | Uploaded Date | 08/22/2020 | | MindSpore Version | 0.6.0-beta | | Dataset | 50k images | diff --git a/model_zoo/official/cv/lenet/README.md b/model_zoo/official/cv/lenet/README.md index c8c071983aa..eb0d36ebd8b 100644 --- a/model_zoo/official/cv/lenet/README.md +++ b/model_zoo/official/cv/lenet/README.md @@ -164,7 +164,7 @@ You can view the results through the file "log.txt". The accuracy of the test da | Parameters | LeNet | | -------------------------- | ----------------------------------------------------------- | -| Resource | Ascend 910 ；CPU 2.60GHz，56cores；Memory，314G | +| Resource | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G | | uploaded Date | 06/09/2020 (month/day/year) | | MindSpore Version | 0.5.0-beta | | Dataset | MNIST | diff --git a/model_zoo/official/cv/lenet_quant/Readme.md b/model_zoo/official/cv/lenet_quant/Readme.md index 45600dbf2da..c6f8d2c0fbf 100644 --- a/model_zoo/official/cv/lenet_quant/Readme.md +++ b/model_zoo/official/cv/lenet_quant/Readme.md @@ -161,7 +161,7 @@ You can view the results through the file "log.txt". The accuracy of the test da | Parameters | LeNet | | -------------------------- | ----------------------------------------------------------- | -| Resource | Ascend 910 CPU 2.60GHz 56cores Memory 314G | +| Resource | Ascend 910 CPU 2.60GHz 192cores Memory 755G | | uploaded Date | 06/09/2020 (month/day/year) | | MindSpore Version | 0.5.0-beta | | Dataset | MNIST | diff --git a/model_zoo/official/cv/maskrcnn/README.md b/model_zoo/official/cv/maskrcnn/README.md index 4aa20c02b12..1feebf93942 100644 --- a/model_zoo/official/cv/maskrcnn/README.md +++ b/model_zoo/official/cv/maskrcnn/README.md @@ -400,7 +400,7 @@ Accumulating evaluation results... | Parameters | MaskRCNN | | -------------------------- | ----------------------------------------------------------- | | Model Version | V1 | -| Resource | Ascend 910; CPU 2.60GHz, 56cores; Memory, 314G | +| Resource | Ascend 910; CPU 2.60GHz, 192cores; Memory, 755G | | uploaded Date | 08/01/2020 (month/day/year) | | MindSpore Version | 0.6.0-alpha | | Dataset | COCO2017 | diff --git a/model_zoo/official/cv/mobilenetv2/README.md b/model_zoo/official/cv/mobilenetv2/README.md index 12f1d12d0e1..daec3037e44 100644 --- a/model_zoo/official/cv/mobilenetv2/README.md +++ b/model_zoo/official/cv/mobilenetv2/README.md @@ -181,7 +181,7 @@ result: {'acc': 0.71976314102564111} ckpt=/path/to/checkpoint/mobilenet-200_625. | Parameters | MobilenetV2 | | | -------------------------- | ---------------------------------------------------------- | ------------------------- | | Model Version | V1 | V1 | -| Resource | Ascend 910, cpu:2.60GHz 56cores, memory:314G | NV SMX2 V100-32G | +| Resource | Ascend 910, cpu:2.60GHz 192cores, memory:755G | NV SMX2 V100-32G | | uploaded Date | 05/06/2020 | 05/06/2020 | | MindSpore Version | 0.3.0 | 0.3.0 | | Dataset | ImageNet | ImageNet | diff --git a/model_zoo/official/cv/mobilenetv2_quant/Readme.md b/model_zoo/official/cv/mobilenetv2_quant/Readme.md index 6e32b6968f0..3a9a9134d98 100644 --- a/model_zoo/official/cv/mobilenetv2_quant/Readme.md +++ b/model_zoo/official/cv/mobilenetv2_quant/Readme.md @@ -175,7 +175,7 @@ result: {'acc': 0.71976314102564111} | Parameters | MobilenetV2 | | -------------------------- | ---------------------------------------------------------- | | Model Version | V2 | -| Resource | Ascend 910, cpu:2.60GHz 56cores, memory:314G | +| Resource | Ascend 910, cpu:2.60GHz 192cores, memory:755G | | uploaded Date | 06/06/2020 | | MindSpore Version | 0.3.0 | | Dataset | ImageNet | diff --git a/model_zoo/official/cv/psenet/README.md b/model_zoo/official/cv/psenet/README.md index 48713e8a507..054f933d020 100644 --- a/model_zoo/official/cv/psenet/README.md +++ b/model_zoo/official/cv/psenet/README.md @@ -161,7 +161,7 @@ Calculated!{"precision": 0.814796668299853, "recall": 0.8006740491092923, "hmean | Parameters | PSENet | | -------------------------- | ----------------------------------------------------------- | | Model Version | Inception V1 | -| Resource | Ascend 910 ；CPU 2.60GHz，56cores；Memory，314G | +| Resource | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G | | uploaded Date | 09/15/2020 (month/day/year) | | MindSpore Version | 1.0-alpha | | Dataset | ICDAR2015 | diff --git a/model_zoo/official/cv/resnet/README.md b/model_zoo/official/cv/resnet/README.md index b821fd28bf3..726e5c6f628 100644 --- a/model_zoo/official/cv/resnet/README.md +++ b/model_zoo/official/cv/resnet/README.md @@ -398,7 +398,7 @@ result: {'top_5_accuracy': 0.9342589628681178, 'top_1_accuracy': 0.7680657810499 | Parameters | Ascend 910 | GPU | | -------------------------- | -------------------------------------- |---------------------------------- | | Model Version | ResNet50-v1.5 |ResNet50-v1.5| -| Resource | Ascend 910，CPU 2.60GHz 56cores，Memory 314G | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G +| Resource | Ascend 910，CPU 2.60GHz 192cores，Memory 755G | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G | uploaded Date | 04/01/2020 (month/day/year) | 08/01/2020 (month/day/year) | MindSpore Version | 0.1.0-alpha |0.6.0-alpha | | Dataset | CIFAR-10 | CIFAR-10 @@ -417,7 +417,7 @@ result: {'top_5_accuracy': 0.9342589628681178, 'top_1_accuracy': 0.7680657810499 | Parameters | Ascend 910 | GPU | | -------------------------- | -------------------------------------- |---------------------------------- | | Model Version | ResNet50-v1.5 |ResNet50-v1.5| -| Resource | Ascend 910，CPU 2.60GHz 56cores，Memory 314G | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G +| Resource | Ascend 910，CPU 2.60GHz 192cores，Memory 755G | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G | uploaded Date | 04/01/2020 (month/day/year) ； | 08/01/2020 (month/day/year) | MindSpore Version | 0.1.0-alpha |0.6.0-alpha | | Dataset | ImageNet2012 | ImageNet2012| @@ -436,7 +436,7 @@ result: {'top_5_accuracy': 0.9342589628681178, 'top_1_accuracy': 0.7680657810499 | Parameters | Ascend 910 | GPU | | -------------------------- | -------------------------------------- |---------------------------------- | | Model Version | ResNet101 |ResNet101| -| Resource | Ascend 910，CPU 2.60GHz 56cores，Memory 314G | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G +| Resource | Ascend 910，CPU 2.60GHz 192cores，Memory 755G | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G | uploaded Date | 04/01/2020 (month/day/year) | 08/01/2020 (month/day/year) | MindSpore Version | 0.1.0-alpha |0.6.0-alpha | | Dataset | ImageNet2012 | ImageNet2012| @@ -456,7 +456,7 @@ result: {'top_5_accuracy': 0.9342589628681178, 'top_1_accuracy': 0.7680657810499 | Parameters | Ascend 910 | -------------------------- | ------------------------------------------------------------------------ | | Model Version | SE-ResNet50 | -| Resource | Ascend 910，CPU 2.60GHz 56cores，Memory 314G | +| Resource | Ascend 910，CPU 2.60GHz 192cores，Memory 755G | | uploaded Date | 08/16/2020 (month/day/year) ； | | MindSpore Version | 0.7.0-alpha | | Dataset | ImageNet2012 | diff --git a/model_zoo/official/cv/resnet50_quant/Readme.md b/model_zoo/official/cv/resnet50_quant/Readme.md index 9032ffed61c..0b405d3bab7 100644 --- a/model_zoo/official/cv/resnet50_quant/Readme.md +++ b/model_zoo/official/cv/resnet50_quant/Readme.md @@ -170,7 +170,7 @@ result: {'acc': 0.76576314102564111} | Parameters | Resnet50 | | -------------------------- | ---------------------------------------------------------- | | Model Version | V1 | -| Resource | Ascend 910, cpu:2.60GHz 56cores, memory:314G | +| Resource | Ascend 910, cpu:2.60GHz 192cores, memory:755G | | uploaded Date | 06/06/2020 | | MindSpore Version | 0.3.0 | | Dataset | ImageNet | diff --git a/model_zoo/official/cv/resnet_thor/README.md b/model_zoo/official/cv/resnet_thor/README.md index 7598f427b06..9d622bd77d1 100644 --- a/model_zoo/official/cv/resnet_thor/README.md +++ b/model_zoo/official/cv/resnet_thor/README.md @@ -228,7 +228,7 @@ Inference result will be stored in the example path, whose folder name is "eval" | Parameters | Ascend 910 | GPU | | -------------------------- | -------------------------------------- |---------------------------------- | | Model Version | ResNet50-v1.5 |ResNet50-v1.5| -| Resource | Ascend 910，CPU 2.60GHz 56cores，Memory 314G | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G +| Resource | Ascend 910，CPU 2.60GHz 192cores，Memory 755G | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G | uploaded Date | 06/01/2020 (month/day/year) | | MindSpore Version | 0.3.0-alpha | | | Dataset | ImageNet2012 | ImageNet2012| diff --git a/model_zoo/official/cv/resnext50/README.md b/model_zoo/official/cv/resnext50/README.md index b1ec1fbc6e7..b750917df8f 100644 --- a/model_zoo/official/cv/resnext50/README.md +++ b/model_zoo/official/cv/resnext50/README.md @@ -213,7 +213,7 @@ acc=93.88%(TOP5) | Parameters | ResNeXt50 | | | -------------------------- | ---------------------------------------------------------- | ------------------------- | -| Resource | Ascend 910, cpu:2.60GHz 56cores, memory:314G | NV SMX2 V100-32G | +| Resource | Ascend 910, cpu:2.60GHz 192cores, memory:755G | NV SMX2 V100-32G | | uploaded Date | 06/30/2020 | 07/23/2020 | | MindSpore Version | 0.5.0 | 0.6.0 | | Dataset | ImageNet | ImageNet | diff --git a/model_zoo/official/cv/ssd/README.md b/model_zoo/official/cv/ssd/README.md index 7c0084c00b9..78b0c9e7f85 100644 --- a/model_zoo/official/cv/ssd/README.md +++ b/model_zoo/official/cv/ssd/README.md @@ -227,7 +227,7 @@ mAP: 0.23808886505483504 | Parameters | Ascend | | -------------------------- | -------------------------------------------------------------| | Model Version | SSD V1 | -| Resource | Ascend 910 ；CPU 2.60GHz，56cores；Memory，314G | +| Resource | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G | | uploaded Date | 06/01/2020 (month/day/year) | | MindSpore Version | 0.3.0-alpha | | Dataset | COCO2017 | diff --git a/model_zoo/official/cv/unet/README.md b/model_zoo/official/cv/unet/README.md index 3a99d509ed5..ab19bacbd21 100644 --- a/model_zoo/official/cv/unet/README.md +++ b/model_zoo/official/cv/unet/README.md @@ -216,7 +216,7 @@ step: 300, loss is 0.18949677, fps is 57.63118508760329 | Parameters | Ascend | | -------------------------- | ------------------------------------------------------------ | | Model Version | Unet | -| Resource | Ascend 910 ;CPU 2.60GHz,56cores; Memory,314G | +| Resource | Ascend 910 ;CPU 2.60GHz,192cores; Memory,755G | | uploaded Date | 09/15/2020 (month/day/year) | | MindSpore Version | 1.0.0 | | Dataset | ISBI | diff --git a/model_zoo/official/cv/vgg16/README.md b/model_zoo/official/cv/vgg16/README.md index f2a0dffc0a4..43ff5e73590 100644 --- a/model_zoo/official/cv/vgg16/README.md +++ b/model_zoo/official/cv/vgg16/README.md @@ -339,7 +339,7 @@ after allreduce eval: top5_correct=45582, tot=50000, acc=91.16% | Parameters | VGG16(Ascend) | VGG16(GPU) | | -------------------------- | ---------------------------------------------- |------------------------------------| | Model Version | VGG16 | VGG16 | -| Resource | Ascend 910 ；CPU 2.60GHz，56cores；Memory，314G |NV SMX2 V100-32G | +| Resource | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G |NV SMX2 V100-32G | | uploaded Date | 08/20/2020 |08/20/2020 | | MindSpore Version | 0.5.0-alpha |0.5.0-alpha | | Dataset | CIFAR-10 |ImageNet2012 | diff --git a/model_zoo/official/cv/warpctc/README.md b/model_zoo/official/cv/warpctc/README.md index fe25661d928..d210c6a7473 100644 --- a/model_zoo/official/cv/warpctc/README.md +++ b/model_zoo/official/cv/warpctc/README.md @@ -200,7 +200,7 @@ bash run_eval.sh [DATASET_PATH] [CHECKPOINT_PATH] [PLATFORM] | Parameters | Ascend 910 | GPU | | -------------------------- | --------------------------------------------- |---------------------------------- | | Model Version | v1.0 | v1.0 | -| Resource | Ascend 910，CPU 2.60GHz 56cores，Memory 314G | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G / +| Resource | Ascend 910，CPU 2.60GHz 192cores，Memory 755G | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G / | uploaded Date | 07/01/2020 (month/day/year) | 08/01/2020 (month/day/year) | | MindSpore Version | 0.5.0-alpha | 0.6.0-alpha | | Dataset | Captcha | Captcha | diff --git a/model_zoo/official/cv/yolov3_resnet18/README.md b/model_zoo/official/cv/yolov3_resnet18/README.md index 7afb4beecd6..dcfc567d8cd 100644 --- a/model_zoo/official/cv/yolov3_resnet18/README.md +++ b/model_zoo/official/cv/yolov3_resnet18/README.md @@ -202,7 +202,7 @@ Note the precision and recall values are results of two-classification(person an | Parameters | Ascend | | -------------------------- | ----------------------------------------------------------- | | Model Version | YOLOv3_Resnet18 V1 | -| Resource | Ascend 910 ；CPU 2.60GHz，56cores；Memory，314G | +| Resource | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G | | uploaded Date | 06/01/2020 (month/day/year) | | MindSpore Version | 0.2.0-alpha | | Dataset | COCO2017 | diff --git a/model_zoo/official/nlp/bert/README.md b/model_zoo/official/nlp/bert/README.md index 9b0999c1331..85d5f61a707 100644 --- a/model_zoo/official/nlp/bert/README.md +++ b/model_zoo/official/nlp/bert/README.md @@ -445,7 +445,7 @@ The result will be as follows: | Parameters | Ascend | GPU | | -------------------------- | ---------------------------------------------------------- | ------------------------- | | Model Version | BERT_base | BERT_base | -| Resource | Ascend 910, cpu:2.60GHz 56cores, memory:314G | NV SMX2 V100-32G | +| Resource | Ascend 910, cpu:2.60GHz 192cores, memory:755G | NV SMX2 V100-32G | | uploaded Date | 08/22/2020 | 05/06/2020 | | MindSpore Version | 0.6.0 | 0.3.0 | | Dataset | cn-wiki-128(4000w) | ImageNet | @@ -465,7 +465,7 @@ The result will be as follows: | Parameters | Ascend | GPU | | -------------------------- | ---------------------------------------------------------- | ------------------------- | | Model Version | BERT_NEZHA | BERT_NEZHA | -| Resource | Ascend 910, cpu:2.60GHz 56cores, memory:314G | NV SMX2 V100-32G | +| Resource | Ascend 910, cpu:2.60GHz 192cores, memory:755G | NV SMX2 V100-32G | | uploaded Date | 08/20/2020 | 05/06/2020 | | MindSpore Version | 0.6.0 | 0.3.0 | | Dataset | cn-wiki-128(4000w) | ImageNet | diff --git a/model_zoo/official/nlp/bert_thor/README.md b/model_zoo/official/nlp/bert_thor/README.md index bb96f68d412..00320beb2a1 100644 --- a/model_zoo/official/nlp/bert_thor/README.md +++ b/model_zoo/official/nlp/bert_thor/README.md @@ -192,7 +192,7 @@ step: 3000 Accuracy: [0.71377236] | Parameters | Ascend 910 | | -------------------------- | -------------------------------------- | | Model Version | BERT-LARGE | -| Resource | Ascend 910，CPU 2.60GHz 56cores，Memory 314G | +| Resource | Ascend 910，CPU 2.60GHz 192cores，Memory 755G | | uploaded Date | 08/20/2020 (month/day/year) | | MindSpore Version | 0.6.0-alpha | | Dataset | MLPerf v0.7 dataset | diff --git a/model_zoo/official/nlp/mass/README.md b/model_zoo/official/nlp/mass/README.md index 2eea755eae0..7b269d20185 100644 --- a/model_zoo/official/nlp/mass/README.md +++ b/model_zoo/official/nlp/mass/README.md @@ -588,7 +588,7 @@ The comparisons between MASS and other baseline methods in terms of PPL on Corne | Parameters | Masked Sequence to Sequence Pre-training for Language Generation | |:---------------------------|:--------------------------------------------------------------------------| | Model Version | v1 | -| Resource | Ascend 910, cpu 2.60GHz, 56cores；memory, 314G | +| Resource | Ascend 910, cpu 2.60GHz, 192cores；memory, 755G | | uploaded Date | 05/24/2020 | | MindSpore Version | 0.2.0 | | Dataset | News Crawl 2007-2017 English monolingual corpus, Gigaword corpus, Cornell Movie Dialog corpus | diff --git a/model_zoo/official/nlp/tinybert/README.md b/model_zoo/official/nlp/tinybert/README.md index a4b08f8aed6..86e9a28e344 100644 --- a/model_zoo/official/nlp/tinybert/README.md +++ b/model_zoo/official/nlp/tinybert/README.md @@ -354,7 +354,7 @@ The best acc is 0.891176 | Parameters | Ascend | GPU | | -------------------------- | ---------------------------------------------------------- | ------------------------- | | Model Version | TinyBERT | TinyBERT | -| Resource | Ascend 910, cpu:2.60GHz 56cores, memory:314G | NV SMX2 V100-32G, cpu:2.10GHz 64cores, memory:251G | +| Resource | Ascend 910, cpu:2.60GHz 192cores, memory:755G | NV SMX2 V100-32G, cpu:2.10GHz 64cores, memory:251G | | uploaded Date | 08/20/2020 | 08/24/2020 | | MindSpore Version | 0.6.0 | 0.7.0 | | Dataset | cn-wiki-128 | cn-wiki-128 | diff --git a/model_zoo/official/recommend/deepfm/README.md b/model_zoo/official/recommend/deepfm/README.md index 8891fafff41..07eed76f80b 100644 --- a/model_zoo/official/recommend/deepfm/README.md +++ b/model_zoo/official/recommend/deepfm/README.md @@ -247,7 +247,7 @@ Parameters for both training and evaluation can be set in config.py | Parameters | Ascend | GPU | | -------------------------- | ----------------------------------------------------------- | ---------------------- | | Model Version | DeepFM | To do | -| Resource | Ascend 910; CPU 2.60GHz, 192cores; Memory 314G | To do | +| Resource | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G | To do | | uploaded Date | 05/17/2020 (month/day/year) | To do | | MindSpore Version | 0.3.0-alpha | To do | | Dataset | [1] | To do | diff --git a/model_zoo/research/cv/ssd_ghostnet/README.md b/model_zoo/research/cv/ssd_ghostnet/README.md index c4aa26ef2b6..e4236ac6162 100644 --- a/model_zoo/research/cv/ssd_ghostnet/README.md +++ b/model_zoo/research/cv/ssd_ghostnet/README.md @@ -169,7 +169,7 @@ python eval.py --device_id 0 --dataset coco --checkpoint_path LOG4/ssd-500_458.c | Parameters | Ascend | | -------------------------- | -------------------------------------------------------------| | Model Version | SSD ghostnet | -| Resource | Ascend 910 ；CPU 2.60GHz，56cores；Memory，314G | +| Resource | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G | | MindSpore Version | 0.7.0 | | Dataset | COCO2017 | | Training Parameters | epoch = 500, batch_size = 32 |