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</pre><pre class="rust"><code><span class="comment">/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* &quot;License&quot;); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* &quot;AS IS&quot; BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
</span><span class="kw">use </span>std::{
fs::{<span class="self">self</span>, File},
io::{BufRead, BufReader},
path::Path,
};
<span class="kw">use </span>::ndarray::{Array, ArrayD, Axis};
<span class="kw">use </span>image::{FilterType, GenericImageView};
<span class="kw">use </span>anyhow::Context <span class="kw">as _</span>;
<span class="kw">use </span>tvm_rt::graph_rt::GraphRt;
<span class="kw">use </span>tvm_rt::<span class="kw-2">*</span>;
<span class="kw">fn </span>main() -&gt; anyhow::Result&lt;()&gt; {
<span class="kw">let </span>dev = Device::cpu(<span class="number">0</span>);
<span class="macro">println!</span>(<span class="string">&quot;{}&quot;</span>, <span class="macro">concat!</span>(<span class="macro">env!</span>(<span class="string">&quot;CARGO_MANIFEST_DIR&quot;</span>), <span class="string">&quot;/cat.png&quot;</span>));
<span class="kw">let </span>img = image::open(<span class="macro">concat!</span>(<span class="macro">env!</span>(<span class="string">&quot;CARGO_MANIFEST_DIR&quot;</span>), <span class="string">&quot;/cat.png&quot;</span>))
.context(<span class="string">&quot;Failed to open cat.png&quot;</span>)<span class="question-mark">?</span>;
<span class="macro">println!</span>(<span class="string">&quot;original image dimensions: {:?}&quot;</span>, img.dimensions());
<span class="comment">// for bigger size images, one needs to first resize to 256x256
// with `img.resize_exact` method and then `image.crop` to 224x224
</span><span class="kw">let </span>img = img.resize(<span class="number">224</span>, <span class="number">224</span>, FilterType::Nearest).to_rgb();
<span class="macro">println!</span>(<span class="string">&quot;resized image dimensions: {:?}&quot;</span>, img.dimensions());
<span class="kw">let </span><span class="kw-2">mut </span>pixels: Vec&lt;f32&gt; = <span class="macro">vec!</span>[];
<span class="kw">for </span>pixel <span class="kw">in </span>img.pixels() {
<span class="kw">let </span>tmp = pixel.data;
<span class="comment">// normalize the RGB channels using mean, std of imagenet1k
</span><span class="kw">let </span>tmp = [
(tmp[<span class="number">0</span>] <span class="kw">as </span>f32 - <span class="number">123.0</span>) / <span class="number">58.395</span>, <span class="comment">// R
</span>(tmp[<span class="number">1</span>] <span class="kw">as </span>f32 - <span class="number">117.0</span>) / <span class="number">57.12</span>, <span class="comment">// G
</span>(tmp[<span class="number">2</span>] <span class="kw">as </span>f32 - <span class="number">104.0</span>) / <span class="number">57.375</span>, <span class="comment">// B
</span>];
<span class="kw">for </span>e <span class="kw">in </span><span class="kw-2">&amp;</span>tmp {
pixels.push(<span class="kw-2">*</span>e);
}
}
<span class="kw">let </span>arr = Array::from_shape_vec((<span class="number">224</span>, <span class="number">224</span>, <span class="number">3</span>), pixels)<span class="question-mark">?</span>;
<span class="kw">let </span>arr: ArrayD&lt;f32&gt; = arr.permuted_axes([<span class="number">2</span>, <span class="number">0</span>, <span class="number">1</span>]).into_dyn();
<span class="comment">// make arr shape as [1, 3, 224, 224] acceptable to resnet
</span><span class="kw">let </span>arr = arr.insert_axis(Axis(<span class="number">0</span>));
<span class="comment">// create input tensor from rust&#39;s ndarray
</span><span class="kw">let </span>input = NDArray::from_rust_ndarray(<span class="kw-2">&amp;</span>arr, Device::cpu(<span class="number">0</span>), DataType::float(<span class="number">32</span>, <span class="number">1</span>))<span class="question-mark">?</span>;
<span class="macro">println!</span>(
<span class="string">&quot;input shape is {:?}, len: {}, size: {}&quot;</span>,
input.shape(),
input.len(),
input.size(),
);
<span class="kw">let </span>graph = fs::read_to_string(<span class="macro">concat!</span>(<span class="macro">env!</span>(<span class="string">&quot;CARGO_MANIFEST_DIR&quot;</span>), <span class="string">&quot;/deploy_graph.json&quot;</span>))
.context(<span class="string">&quot;Failed to open graph&quot;</span>)<span class="question-mark">?</span>;
<span class="comment">// load the built module
</span><span class="kw">let </span>lib = Module::load(<span class="kw-2">&amp;</span>Path::new(<span class="macro">concat!</span>(
<span class="macro">env!</span>(<span class="string">&quot;CARGO_MANIFEST_DIR&quot;</span>),
<span class="string">&quot;/deploy_lib.so&quot;
</span>)))<span class="question-mark">?</span>;
<span class="comment">// parse parameters and convert to TVMByteArray
</span><span class="kw">let </span>params: Vec&lt;u8&gt; = fs::read(<span class="macro">concat!</span>(<span class="macro">env!</span>(<span class="string">&quot;CARGO_MANIFEST_DIR&quot;</span>), <span class="string">&quot;/deploy_param.params&quot;</span>))<span class="question-mark">?</span>;
<span class="macro">println!</span>(<span class="string">&quot;param bytes: {}&quot;</span>, params.len());
<span class="comment">// If you want an easy way to test a memory leak simply replace the program below with:
// let mut output: Vec&lt;f32&gt;;
// loop {
// let mut graph_rt = GraphRt::create_from_parts(&amp;graph, lib.clone(), dev)?;
// graph_rt.load_params(params.clone())?;
// graph_rt.set_input(&quot;data&quot;, input.clone())?;
// graph_rt.run()?;
// // prepare to get the output
// let output_shape = &amp;[1, 1000];
// let output_nd = NDArray::empty(output_shape, Device::cpu(0), DataType::float(32, 1));
// graph_rt.get_output_into(0, output_nd.clone())?;
// // flatten the output as Vec&lt;f32&gt;
// output = output_nd.to_vec::&lt;f32&gt;()?;
// }
</span><span class="kw">let </span><span class="kw-2">mut </span>graph_rt = GraphRt::create_from_parts(<span class="kw-2">&amp;</span>graph, lib, dev)<span class="question-mark">?</span>;
graph_rt.load_params(params)<span class="question-mark">?</span>;
graph_rt.set_input(<span class="string">&quot;data&quot;</span>, input)<span class="question-mark">?</span>;
graph_rt.run()<span class="question-mark">?</span>;
<span class="comment">// prepare to get the output
</span><span class="kw">let </span>output_shape = <span class="kw-2">&amp;</span>[<span class="number">1</span>, <span class="number">1000</span>];
<span class="kw">let </span>output_nd = NDArray::empty(output_shape, Device::cpu(<span class="number">0</span>), DataType::float(<span class="number">32</span>, <span class="number">1</span>));
graph_rt.get_output_into(<span class="number">0</span>, output_nd.clone())<span class="question-mark">?</span>;
<span class="comment">// flatten the output as Vec&lt;f32&gt;
</span><span class="kw">let </span>output: Vec&lt;f32&gt; = output_nd.to_vec::&lt;f32&gt;()<span class="question-mark">?</span>;
<span class="comment">// find the maximum entry in the output and its index
</span><span class="kw">let </span>(argmax, max_prob) = output
.iter()
.copied()
.enumerate()
.max_by(|a, b| a.<span class="number">1</span>.partial_cmp(<span class="kw-2">&amp;</span>b.<span class="number">1</span>).unwrap())
.unwrap();
<span class="comment">// create a hash map of (class id, class name)
</span><span class="kw">let </span>file = File::open(<span class="string">&quot;synset.txt&quot;</span>).context(<span class="string">&quot;failed to open synset&quot;</span>)<span class="question-mark">?</span>;
<span class="kw">let </span>synset: Vec&lt;std::string::String&gt; = BufReader::new(file)
.lines()
.into_iter()
.map(|x| x.expect(<span class="string">&quot;readline failed&quot;</span>))
.collect();
<span class="kw">let </span>label = <span class="kw-2">&amp;</span>synset[argmax];
<span class="macro">println!</span>(
<span class="string">&quot;input image belongs to the class `{}` with probability {}&quot;</span>,
label, max_prob
);
<span class="prelude-val">Ok</span>(())
}
</code></pre></div>
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