cls_label_path: ./dataset/aoteman/train_list.txt transform_ops: - DecodeImage: to_rgb: True channel_first: False - ResizeImage: resize_short: 256 - CropImage: size: 224 - RandFlipImage: flip_code: 1 - NormalizeImage: scale: 1.0/255.0 mean: [0.485, 0.456, 0.406] std: [0.229, 0.224...
transform_ops: - DecodeImage: to_rgb: True channel_first: False - ResizeImage: resize_short: 256 - CropImage: size: 224 - NormalizeImage: scale: 1.0/255.0 mean: [0.485, 0.456, 0.406] std: [0.229, 0.224, 0.225] order: '' sampler: name: DistributedBatchSampler batch_size: 128 drop_la...
transform_ops: - DecodeImage: to_rgb: True channel_first: False - ResizeImage: resize_short: 256 - CropImage: size: 224 - NormalizeImage: scale: 1.0/255.0 mean: [0.485, 0.456, 0.406] std: [0.229, 0.224, 0.225] order: '' sampler: name: DistributedBatchSampler batch_size: 64 drop_las...
transform_ops: # - DecodeImage: # to_rgb: True # channel_first: False # - RandCropImage: # size: 224 # - RandFlipImage: # flip_code: 1 # - NormalizeImage: # scale: 1.0/255.0 # mean: [0.485, 0.456, 0.406] # std: [0.229, 0.224, 0.225] # order: '' # batch_transform_ops:...
./dataset/foods/train_list.txt # 数据预处理 transform_ops: - DecodeImage: to_rgb: True channel_first: False - ResizeImage: resize_short: 256 - CropImage: size: 224 - RandFlipImage: flip_code: 1 - NormalizeImage: scale: 1.0/255.0 mean: [0.485, 0.456, 0.406] std: [0.229, 0.224, ...
transform_ops: - ResizeImage: resize_short: 256 - CropImage: size: 224 - NormalizeImage: scale: 0.00392157 mean: [0.485, 0.456, 0.406] std: [0.229, 0.224, 0.225] order: '' channel_num: 3 - ToCHWImage: PostProcess: main_indicator: Topk Topk: topk: 5 class_id_map_file: "../label...
- TimmAutoAugment: config_str: rand-m9-mstd0.5-inc1 interpolation: random img_size: 224 mean: [0.5, 0.5, 0.5] - NormalizeImage: scale: 1.0/255.0 mean: [0.5, 0.5, 0.5] std: [0.5, 0.5, 0.5] order: '' Eval: dataset: transform_ops: ... - ResizeImage: resize_short: 248 ...
transform_ops[0]["ResizeImage"][ "resize_short"] = kwargs["resize_short"] if "crop_size" in kwargs and kwargs["crop_size"]: cfg.PreProcess.transform_ops[1]["CropImage"]["size"] = kwargs[ "crop_size"] # TODO(gaotingquan): not robust if "thresh" in kwargs and ...
remove copy of sparse ops #71198openedFeb 19, 2025 [CINN][new hardware] SYCL third PR: complete the SYCL logic #71204openedFeb 20, 2025 [xpu] add adaptive_layer_norm_xpu_kernel(#71138) #71206openedFeb 20, 2025 【PIR】AutoLayoutPass add shape64 op into black list ...
namespace ops = paddle::operators; namespace plf = paddle::platform; REGISTER_OP_CUDA_KERNEL( fusion_decoding, ops::FusionDecodingKernel<paddle::platform::CUDADeviceContext, float>, ops::FusionDecodingKernel<paddle::platform::CUDADeviceContext, plf::float16>); 20 changes: 20 additions & 0 del...