Merge remote-tracking branch 'origin/main'

examples/MNIST_CNN_Interactive_Demo/ProjectDemo.chpl

@@ -0,0 +1,50 @@
+use Tensor;
+
+use Network;
+
+import Time;
+
+import Image;
+
+config const detach = true;
+
+config const weightsFolder = "model/";
+config const specFile = "model/specification.json";
+config const imagePath = "number.png";
+
+var img_ = Image.readImage(imagePath, Image.imageType.png);
+var img = [i in img_.domain] img_[i] : real(32);
+
+
+Tensor.detachMode(detach);
+
+// Construct the model from specification. 
+var model: owned Module(real(32)) = loadModel(specFile=specFile,
+              weightsFolder=weightsFolder,
+              dtype=real(32));
+// Print the model's structure. 
+writeln(model.signature);
+
+// Load the weights into the model. 
+model.loadPyTorchDump(weightsFolder);
+
+var imagend = new ndarray(img);
+
+// writeln(imagend.shape);
+
+var image = new dynamicTensor(imagend.reshape(1,28,28));
+
+// Create array of output results. 
+
+writeln("started");
+config const numTimes = 1;
+var st = new Time.stopwatch();
+st.start();
+const pred = model(image).argmax();
+st.stop();  
+
+const time = st.elapsed();
+writeln("Time: ", time, " seconds.");
+
+
+writeln("I think it's a ", pred);

examples/MNIST_CNN_Interactive_Demo/model/0.bias.json

@@ -0,0 +1,41 @@
+{
+  "rank": 1,
+  "shape": [
+    32
+  ],
+  "dtype": "float64",
+  "data": [
+    -0.12343578040599823,
+    0.06212015450000763,
+    -0.029010584577918053,
+    -0.16593652963638306,
+    0.02885451167821884,
+    0.10515154153108597,
+    -0.13995109498500824,
+    -0.10198166221380234,
+    -0.14802095293998718,
+    0.04423534497618675,
+    -0.15120548009872437,
+    -0.21409626305103302,
+    -0.16688412427902222,
+    -0.18294550478458405,
+    -0.11644219607114792,
+    -0.07498931139707565,
+    -0.20663811266422272,
+    -0.14019237458705902,
+    -0.15334303677082062,
+    0.07354093343019485,
+    -0.043126024305820465,
+    0.16986769437789917,
+    -0.09064149856567383,
+    -0.1610468178987503,
+    -0.2019568383693695,
+    -0.25095441937446594,
+    0.10429887473583221,
+    -0.19952405989170074,
+    -0.15713489055633545,
+    0.10607622563838959,
+    0.18707863986492157,
+    -0.07820728421211243
+  ]
+}