kaknikhil commented on a change in pull request #451: DL: Update evaluate and
predict for multi model outputs
URL: https://github.com/apache/madlib/pull/451#discussion_r336617343
##########
File path:
src/ports/postgres/modules/deep_learning/test/madlib_keras_predict.sql_in
##########
@@ -306,6 +308,54 @@ SELECT assert(trap_error($TRAP$madlib_keras_predict(
0);$TRAP$) = 1,
'Input shape is (32, 32, 3) but model was trained with (3, 32, 32). Should
have failed.');
+-- Test multi model
+m4_changequote(`<!', `!>')
+m4_ifdef(<!__POSTGRESQL__!>, <!!>, <!
+
+DROP TABLE IF EXISTS mst_table, mst_table_summary;
+SELECT load_model_selection_table(
+ 'model_arch',
+ 'mst_table',
+ ARRAY[1],
+ ARRAY[
+
$$loss='categorical_crossentropy',optimizer='Adam(lr=0.1)',metrics=['accuracy']$$,
+ $$loss='categorical_crossentropy',
optimizer='Adam(lr=0.01)',metrics=['accuracy']$$,
+
$$loss='categorical_crossentropy',optimizer='Adam(lr=0.001)',metrics=['accuracy']$$
+ ],
+ ARRAY[
+ $$batch_size=5,epochs=1$$,
+ $$batch_size=10,epochs=1$$
+ ]
+);
+
+DROP TABLE if exists cifar_10_multiple_model, cifar_10_multiple_model_summary,
+ cifar_10_multiple_model_info;
+SELECT setseed(0);
+SELECT madlib_keras_fit_multiple_model(
+ 'cifar_10_sample_batched',
+ 'cifar_10_multiple_model',
+ 'mst_table',
+ 6,
+ 0
+);
+
+DROP TABLE IF EXISTS cifar10_predict;
+SELECT madlib_keras_evaluate('cifar_10_multiple_model', 'cifar_10_sample_val',
'evaluate_out', 0, 1);
Review comment:
we don't have to call evaluate here
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