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Merged
merged 1 commit into from
Aug 19, 2020
Merged

Save tf2 model #333

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10 changes: 5 additions & 5 deletions smdebug/tensorflow/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -329,19 +329,19 @@ def __init__(self):
self.layer_input = None
self.layer_output = None

def __call__(self, callable_inputs, *args, **kwargs) -> None:
def __call__(self, inputs, *args, **kwargs) -> None:
self.layer_input = kwargs["layer_input"]
self.layer_output = kwargs["layer_output"]


def get_layer_call_fn(layer: tf.keras.layers.Layer) -> Callable[[tf.Tensor], tf.Tensor]:
old_call_fn = layer.call

def call(callable_inputs, *args, **kwargs) -> tf.Tensor:
layer_input = callable_inputs
layer_output = old_call_fn(callable_inputs)
def call(inputs, *args, **kwargs) -> tf.Tensor:
layer_input = inputs
layer_output = old_call_fn(inputs)
for hook in layer._hooks:
hook_result = hook(callable_inputs, layer_input=layer_input, layer_output=layer_output)
hook_result = hook(inputs, layer_input=layer_input, layer_output=layer_output)
if hook_result is not None:
layer_output = hook_result
return layer_output
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3 changes: 3 additions & 0 deletions tests/tensorflow2/test_keras.py
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Original file line number Diff line number Diff line change
Expand Up @@ -103,6 +103,8 @@ def helper_keras_fit(
elif step == "predict":
model.predict(x_test[:100], callbacks=hooks, verbose=0)

model.save(trial_dir, save_format="tf")

hook.close()


Expand Down Expand Up @@ -180,6 +182,7 @@ def helper_keras_gradtape(
)
train_acc_metric.reset_states()

model.save(trial_dir, save_format="tf")
hook.close()


Expand Down