Updated the notebooks to use the new BaseTrainer argument order

KevinMusgrave · Jan 29, 2023 · 6f9b2ff · 6f9b2ff
1 parent 20a3903
commit 6f9b2ff
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Showing 6 changed files with 6 additions and 6 deletions.
diff --git a/examples/notebooks/CascadedEmbeddings.ipynb b/examples/notebooks/CascadedEmbeddings.ipynb
@@ -634,8 +634,8 @@
         "    optimizers=optimizers,\n",
         "    batch_size=batch_size,\n",
         "    loss_funcs=loss_funcs,\n",
-        "    mining_funcs=mining_funcs,\n",
         "    dataset=train_dataset,\n",
+        "    mining_funcs=mining_funcs,\n",
         "    sampler=sampler,\n",
         "    dataloader_num_workers=2,\n",
         "    end_of_iteration_hook=hooks.end_of_iteration_hook,\n",

diff --git a/examples/notebooks/DeepAdversarialMetricLearning.ipynb b/examples/notebooks/DeepAdversarialMetricLearning.ipynb
@@ -545,8 +545,8 @@
         "    optimizers=optimizers,\n",
         "    batch_size=batch_size,\n",
         "    loss_funcs=loss_funcs,\n",
-        "    mining_funcs=mining_funcs,\n",
         "    dataset=train_dataset,\n",
+        "    mining_funcs=mining_funcs,\n",
         "    loss_weights=loss_weights,\n",
         "    sampler=sampler,\n",
         "    end_of_iteration_hook=hooks.end_of_iteration_hook,\n",

diff --git a/examples/notebooks/MetricLossOnly.ipynb b/examples/notebooks/MetricLossOnly.ipynb
@@ -506,8 +506,8 @@
         "    optimizers,\n",
         "    batch_size,\n",
         "    loss_funcs,\n",
-        "    mining_funcs,\n",
         "    train_dataset,\n",
+        "    mining_funcs=mining_funcs,\n",
         "    sampler=sampler,\n",
         "    dataloader_num_workers=2,\n",
         "    end_of_iteration_hook=hooks.end_of_iteration_hook,\n",

diff --git a/examples/notebooks/TrainWithClassifier.ipynb b/examples/notebooks/TrainWithClassifier.ipynb
@@ -521,8 +521,8 @@
         "    optimizers,\n",
         "    batch_size,\n",
         "    loss_funcs,\n",
-        "    mining_funcs,\n",
         "    train_dataset,\n",
+        "    mining_funcs=mining_funcs,\n",
         "    sampler=sampler,\n",
         "    dataloader_num_workers=2,\n",
         "    loss_weights=loss_weights,\n",

diff --git a/examples/notebooks/TwoStreamMetricLoss.ipynb b/examples/notebooks/TwoStreamMetricLoss.ipynb
@@ -422,8 +422,8 @@
     "    optimizers,\n",
     "    batch_size,\n",
     "    loss_funcs,\n",
-    "    mining_funcs,\n",
     "    train_dataset,\n",
+    "    mining_funcs=mining_funcs,\n",
     "    sampler=sampler,\n",
     "    dataloader_num_workers=2,\n",
     "    end_of_iteration_hook=hooks.end_of_iteration_hook,\n",

diff --git a/examples/notebooks/scRNAseq_MetricEmbedding.ipynb b/examples/notebooks/scRNAseq_MetricEmbedding.ipynb
@@ -524,8 +524,8 @@
         "    optimizers,\n",
         "    batch_size,\n",
         "    loss_funcs,\n",
-        "    mining_funcs,\n",
         "    train_dataset,\n",
+        "    mining_funcs=mining_funcs,\n",
         "    sampler=sampler,\n",
         "    dataloader_num_workers=2,\n",
         "    end_of_iteration_hook=hooks.end_of_iteration_hook,\n",