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c2dc0493
编写于
7月 03, 2018
作者:
L
liutuo
提交者:
liuqi
7月 09, 2018
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3
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3 changed file
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86 addition
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-0
docs/user_guide/models/demo_app_models.yml
docs/user_guide/models/demo_app_models.yml
+39
-0
docs/user_guide/models/demo_app_models_caffe.yml
docs/user_guide/models/demo_app_models_caffe.yml
+24
-0
docs/user_guide/models/demo_app_models_tf.yml
docs/user_guide/models/demo_app_models_tf.yml
+23
-0
未找到文件。
docs/user_guide/models/demo_app_models.yml
0 → 100644
浏览文件 @
c2dc0493
# The name of library
library_name
:
mobilenet
target_abis
:
[
arm64-v8a
]
embed_model_data
:
1
# The build mode for model(s).
# 'code' stand for transfer model(s) into cpp code, 'proto' for model(s) in protobuf file(s).
build_type
:
code
linkshared
:
0
# One yaml config file can contain multi models' config message.
models
:
mobilenet_v1
:
# model tag, which will be used in model loading and must be specific.
platform
:
tensorflow
# support local path, http:// and https://
model_file_path
:
https://cnbj1.fds.api.xiaomi.com/mace/miai-models/mobilenet-v1/mobilenet-v1-1.0.pb
model_sha256_checksum
:
71b10f540ece33c49a7b51f5d4095fc9bd78ce46ebf0300487b2ee23d71294e6
subgraphs
:
-
input_tensors
:
input
input_shapes
:
1,224,224,3
output_tensors
:
MobilenetV1/Predictions/Reshape_1
output_shapes
:
1,1001
runtime
:
cpu+gpu
limit_opencl_kernel_time
:
0
nnlib_graph_mode
:
0
obfuscate
:
0
winograd
:
0
mobilenet_v2
:
platform
:
tensorflow
model_file_path
:
https://cnbj1.fds.api.xiaomi.com/mace/miai-models/mobilenet-v2/mobilenet-v2-1.0.pb
model_sha256_checksum
:
369f9a5f38f3c15b4311c1c84c032ce868da9f371b5f78c13d3ea3c537389bb4
subgraphs
:
-
input_tensors
:
input
input_shapes
:
1,224,224,3
output_tensors
:
MobilenetV2/Predictions/Reshape_1
output_shapes
:
1,1001
runtime
:
cpu+gpu
limit_opencl_kernel_time
:
0
nnlib_graph_mode
:
0
obfuscate
:
0
winograd
:
0
docs/user_guide/models/demo_app_models_caffe.yml
0 → 100644
浏览文件 @
c2dc0493
# The name of library
library_name
:
squeezenet-v10
target_abis
:
[
arm64-v8a
]
embed_model_data
:
0
build_type
:
proto
linkshared
:
1
models
:
squeezenet-v10
:
# model tag, which will be used in model loading and must be specific.
platform
:
caffe
# support local path, http:// and https://
model_file_path
:
https://cnbj1.fds.api.xiaomi.com/mace/miai-models/squeezenet/squeezenet-v1.0.prototxt
weight_file_path
:
https://cnbj1.fds.api.xiaomi.com/mace/miai-models/squeezenet/squeezenet-v1.0.caffemodel
# sha256_checksum of your model's graph and data files.
# get the sha256_checksum: sha256sum path/to/your/file
model_sha256_checksum
:
db680cf18bb0387ded9c8e9401b1bbcf5dc09bf704ef1e3d3dbd1937e772cae0
weight_sha256_checksum
:
9ff8035aada1f9ffa880b35252680d971434b141ec9fbacbe88309f0f9a675ce
# define your model's interface
subgraphs
:
-
input_tensors
:
data
input_shapes
:
1,227,227,3
output_tensors
:
prob
output_shapes
:
1,1,1,1000
runtime
:
cpu+gpu
winograd
:
0
docs/user_guide/models/demo_app_models_tf.yml
0 → 100644
浏览文件 @
c2dc0493
# The name of library
library_name
:
mobilenet
target_abis
:
[
arm64-v8a
]
embed_model_data
:
0
build_type
:
proto
linkshared
:
1
models
:
mobilenet_v1
:
# model tag, which will be used in model loading and must be specific.
platform
:
tensorflow
# path to your tensorflow model's pb file. Support local path, http:// and https://
model_file_path
:
https://cnbj1.fds.api.xiaomi.com/mace/miai-models/mobilenet-v1/mobilenet-v1-1.0.pb
# sha256_checksum of your model's pb file.
# use this command to get the sha256_checksum: sha256sum path/to/your/pb/file
model_sha256_checksum
:
71b10f540ece33c49a7b51f5d4095fc9bd78ce46ebf0300487b2ee23d71294e6
# define your model's interface
subgraphs
:
-
input_tensors
:
input
input_shapes
:
1,224,224,3
output_tensors
:
MobilenetV1/Predictions/Reshape_1
output_shapes
:
1,1001
# cpu, gpu or cpu+gpu
runtime
:
cpu+gpu
winograd
:
0
\ No newline at end of file
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