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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/02/20 00:32:12 UTC
[GitHub] ZhennanQin commented on a change in pull request #14123: Add int8
data loader
ZhennanQin commented on a change in pull request #14123: Add int8 data loader
URL: https://github.com/apache/incubator-mxnet/pull/14123#discussion_r258289436
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File path: example/quantization/imagenet_inference.py
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@@ -192,24 +210,52 @@ def benchmark_score(symbol_file, ctx, batch_size, num_batches, logger=None):
data_shape = tuple([int(i) for i in image_shape.split(',')])
logger.info('Input data shape = %s' % str(data_shape))
+ data_layer_type = args.data_layer_type
if args.benchmark == False:
dataset = args.dataset
download_dataset('http://data.mxnet.io/data/val_256_q90.rec', dataset)
logger.info('Dataset for inference: %s' % dataset)
# creating data iterator
- data = mx.io.ImageRecordIter(path_imgrec=dataset,
- label_width=1,
- preprocess_threads=data_nthreads,
- batch_size=batch_size,
- data_shape=data_shape,
- label_name=label_name,
- rand_crop=False,
- rand_mirror=False,
- shuffle=True,
- shuffle_chunk_seed=3982304,
- seed=48564309,
- **combine_mean_std)
+ if data_layer_type == 'float32':
+ data = mx.io.ImageRecordIter(path_imgrec=dataset,
+ label_width=1,
+ preprocess_threads=data_nthreads,
+ batch_size=batch_size,
+ data_shape=data_shape,
+ label_name=label_name,
+ rand_crop=False,
+ rand_mirror=False,
+ shuffle=args.shuffle_dataset,
+ shuffle_chunk_seed=args.shuffle_chunk_seed,
+ seed=args.shuffle_seed,
+ **combine_mean_std)
+ elif data_layer_type == 'uint8':
+ data = mx.io.ImageRecordUInt8Iter(path_imgrec=dataset,
+ label_width=1,
+ preprocess_threads=data_nthreads,
+ batch_size=batch_size,
+ data_shape=data_shape,
+ label_name=label_name,
+ rand_crop=False,
+ rand_mirror=False,
+ shuffle=args.shuffle_dataset,
+ shuffle_chunk_seed=args.shuffle_chunk_seed,
+ seed=args.shuffle_seed,
+ **combine_mean_std)
+ else: #int8
Review comment:
Sounds reasonable. Will change the order later.
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