提交 d3487f3b 编写于 作者: L Liangliang He

Merge branch 'update_docs' into 'master'

update docs

See merge request !650
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Advanced usage
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This part contains the full usage of MACE.
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Overview
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As mentioned in the previous part, a model deployment file defines a case of model deployment.
The whole building process is loading a deployment file, converting models, building MACE and packing generated files.
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Deployment file
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One deployment file will generate one library normally, but if more than one ABIs are specified,
......@@ -24,7 +24,7 @@ in one deployment file.
* **Example**
Here is an example deployment file used by an Android demo application.
Here is an example deployment file with two models.
.. literalinclude:: models/demo_app_models.yml
:language: yaml
......@@ -105,9 +105,9 @@ in one deployment file.
sha256sum /path/to/your/file
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Advanced Usage
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There are two common advanced use cases: 1. convert a model to CPP code. 2. tuning for specific SOC if use GPU.
......@@ -274,9 +274,9 @@ There are two common advanced use cases: 1. convert a model to CPP code. 2. tuni
// ... Same with the code in basic usage.
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Useful Commands
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* **run the model**
.. code:: sh
......
......@@ -3,7 +3,6 @@ Operator lists
.. Please keep in chronological order when editing
.. csv-table::
:widths: auto
:header: "Operator","Supported","Remark"
"AVERAGE_POOL_2D","Y",""
......@@ -27,17 +26,17 @@ Operator lists
"LOCAL_RESPONSE_NORMALIZATION","Y",""
"LOGISTIC","Y",""
"LSTM","",""
"MATMUL","Y",""
"MATMUL","Y","Only CPU is supported"
"MAX_POOL_2D","Y",""
"PAD","Y",""
"PSROI_ALIGN","Y",""
"PRELU","Y","Only caffe model is supported"
"REDUCE_MEAN","Y","Only tensorflow model is supported"
"REDUCE_MEAN","Y","Only tensorflow model is supported. For GPU only H + W axis reduce is supported"
"RELU","Y",""
"RELU1","Y",""
"RELU6","Y",""
"RELUX","Y",""
"RESHAPE","Y","Limited support: only internal use of reshape in composed operations is supported"
"RESHAPE","Y","Limited support: GPU is full supported, for CPU only supports softmax-like usage"
"RESIZE_BILINEAR","Y",""
"RNN","",""
"RPN_PROPOSAL_LAYER","Y",""
......
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