kaknikhil commented on a change in pull request #367: DL: Remove reshaping for
input/validation dataset
URL: https://github.com/apache/madlib/pull/367#discussion_r275499943
##########
File path: src/ports/postgres/modules/deep_learning/madlib_keras.py_in
##########
@@ -487,31 +459,23 @@ def evaluate1(schema_madlib, model_table, test_table,
id_col, model_arch_table,
plpy.error("no model arch found in table {0} with id {1}".format(
model_arch_table, model_arch_id))
query_result = query_result[0]
- model_arch = query_result['model_arch']
- input_shape = get_input_shape(model_arch)
+ model_arch = query_result[Format.MODEL_ARCH]
compile_params = "$madlib$" + compile_params + "$madlib$"
- # evaluate_query = plpy.prepare("""create table {output_table} as
- evaluate_query = plpy.prepare("""
- select {id_col}, (madlib.internal_keras_evaluate({independent_varname},
- {dependent_varname},
- $MAD${model_arch}$MAD$,
- $1,ARRAY{input_shape},
- {compile_params}))
- from {test_table}""".format(**locals()), ["bytea"])
- plpy.execute(evaluate_query, [model_data])
-
-def internal_keras_evaluate(x_test, y_test, model_arch, model_data,
input_shape,
- compile_params):
- device_name = '/cpu:0'
- os.environ["CUDA_VISIBLE_DEVICES"] = '-1'
-
- model = model_from_json(model_arch)
- plpy.info('model in str is {}'.format(str(model)))
- model_shapes = []
- for weight_arr in model.get_weights():
- model_shapes.append(weight_arr.shape)
- _, model_weights = KerasWeightsSerializer.deserialize_weights(
+ loss_acc = get_loss_acc_from_keras_eval(schema_madlib, test_table,
dependent_varname,
Review comment:
We will create a table out of the loss and acc values. This will be done in
a future PR.
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