Remove the datset arg from all remaining examples of model.inspect() in the example code

examples/fancy_ptycho_inline.ipynb

@@ -66,7 +66,7 @@
     "# Workaround reconstruction pattern for interactive plotting in jupyter:\n",
     "# First, a standalone cell to plot the current model state\n",
     "\n",
-    "model.inspect(dataset, replot_all=True);"
+    "model.inspect(replot_all=True);"
    ]
   },
   {
@@ -96,7 +96,7 @@
    "source": [
     "# Save out the results\n",
     "\n",
-    "model.save_to_h5('lab_ptycho_reconstruction.h5', dataset)"
+    "model.save_to_h5('lab_ptycho_reconstruction.h5');"
    ]
   },
   {
@@ -114,7 +114,7 @@
     "model.tidy_probes()\n",
     "\n",
     "# Final plotting\n",
-    "model.inspect(dataset)\n",
+    "model.inspect()\n",
     "model.compare(dataset);"
    ]
   },

examples/fancy_ptycho_interactive.ipynb

@@ -54,7 +54,7 @@
     "# Then, create a reconstructor object and view the initialized model\n",
     "\n",
     "recon = cdtools.reconstructors.AdamReconstructor(model, dataset)\n",
-    "model.inspect(dataset);"
+    "model.inspect();"
    ]
   },
   {
@@ -72,12 +72,12 @@
     "while model.epoch < 50:\n",
     "    for loss in recon.optimize(1, lr=0.02, batch_size=10):\n",
     "        print(model.report())\n",
-    "        model.inspect(dataset, min_interval=10)\n",
+    "        model.inspect(min_interval=10)\n",
     "\n",
     "while model.epoch < 100:\n",
     "    for loss in recon.optimize(1, lr=0.005, batch_size=10):\n",
     "        print(model.report())\n",
-    "        model.inspect(dataset, min_interval=10)"
+    "        model.inspect(min_interval=10)"
    ]
   },
   {
@@ -89,7 +89,7 @@
    "source": [
     "# Save out the results\n",
     "\n",
-    "model.save_to_h5('lab_ptycho_reconstruction.h5', dataset)"
+    "model.save_to_h5('lab_ptycho_reconstruction.h5')"
    ]
   },
   {
@@ -107,7 +107,7 @@
     "model.tidy_probes()\n",
     "\n",
     "# Final plotting\n",
-    "model.inspect(dataset)\n",
+    "model.inspect()\n",
     "model.compare(dataset);"
    ]
   },

examples/simple_ptycho.py

@@ -23,7 +23,7 @@ if t.cuda.is_available():
     model.to(device='cuda')
     dataset.get_as(device='cuda')
 
-model.inspect(dataset)
+model.inspect()
 
 # We run the reconstruction
 for loss in model.Adam_optimize(100, dataset, batch_size=10):

examples/tutorial_finale.py

@@ -20,6 +20,6 @@ for loss in model.Adam_optimize(10, dataset):
     model.inspect()
     print(model.report())
 
-model.inspect(dataset)
+model.inspect()
 model.compare(dataset)
 plt.show()