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2 changes: 1 addition & 1 deletion .github/workflows/ci.yml
Original file line number Diff line number Diff line change
Expand Up @@ -76,7 +76,7 @@ jobs:
- name: 'Install TensorFlow'
run: |
python -m pip install -U pip
pip install "${TENSORFLOW_VERSION}" keras-nightly==3.3.3.dev2024051503
pip install "${TENSORFLOW_VERSION}"
if: matrix.tf_version_id != 'notf'
- name: 'Install Python dependencies'
run: |
Expand Down
114 changes: 0 additions & 114 deletions tensorboard/plugins/graph/keras_util_test.py
Original file line number Diff line number Diff line change
Expand Up @@ -148,12 +148,6 @@ def test_keras_model_to_graph_def_functional_model(self):
node {
name: "model/dense"
input: "model/functional_input"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand All @@ -164,12 +158,6 @@ def test_keras_model_to_graph_def_functional_model(self):
node {
name: "model/dense_1"
input: "model/dense"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand All @@ -180,12 +168,6 @@ def test_keras_model_to_graph_def_functional_model(self):
node {
name: "model/dense_2"
input: "model/dense_1"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand Down Expand Up @@ -224,12 +206,6 @@ def test_keras_model_to_graph_def_functional_model_with_cycle(self):
node {
name: "model/dense"
input: "model/cycle_input"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand All @@ -241,12 +217,6 @@ def test_keras_model_to_graph_def_functional_model_with_cycle(self):
name: "model/dense_1"
input: "model/dense"
input: "model/dense_2"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand All @@ -257,12 +227,6 @@ def test_keras_model_to_graph_def_functional_model_with_cycle(self):
node {
name: "model/dense_2"
input: "model/dense_1"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand Down Expand Up @@ -301,12 +265,6 @@ def test_keras_model_to_graph_def_lstm_model(self):
node {
name: "model/simple_rnn"
input: "model/lstm_input"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand Down Expand Up @@ -497,12 +455,6 @@ def test_keras_model_to_graph_def_functional_multi_inputs(self):
node {
name: "model/embedding"
input: "model/main_input"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand All @@ -513,12 +465,6 @@ def test_keras_model_to_graph_def_functional_multi_inputs(self):
node {
name: "model/simple_rnn"
input: "model/embedding"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand All @@ -545,12 +491,6 @@ def test_keras_model_to_graph_def_functional_multi_inputs(self):
name: "model/concatenate"
input: "model/simple_rnn"
input: "model/aux_input"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand All @@ -561,12 +501,6 @@ def test_keras_model_to_graph_def_functional_multi_inputs(self):
node {
name: "model/dense"
input: "model/concatenate"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand All @@ -577,12 +511,6 @@ def test_keras_model_to_graph_def_functional_multi_inputs(self):
node {
name: "model/main_output"
input: "model/dense"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand All @@ -593,12 +521,6 @@ def test_keras_model_to_graph_def_functional_multi_inputs(self):
node {
name: "model/aux_output"
input: "model/simple_rnn"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand Down Expand Up @@ -700,12 +622,6 @@ def test_keras_model_to_graph_def_functional_model_as_layer(self):
node {
name: "model_1/model/dense"
input: "model_1/model/sub_func_input_1"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand All @@ -716,12 +632,6 @@ def test_keras_model_to_graph_def_functional_model_as_layer(self):
node {
name: "model_1/model/dense_1"
input: "model_1/model/sub_func_input_2"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand All @@ -733,12 +643,6 @@ def test_keras_model_to_graph_def_functional_model_as_layer(self):
name: "model_1/concatenate"
input: "model_1/model/dense"
input: "model_1/model/dense_1"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand All @@ -749,12 +653,6 @@ def test_keras_model_to_graph_def_functional_model_as_layer(self):
node {
name: "model_1/dense_2"
input: "model_1/concatenate"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "keras_class"
value {
Expand Down Expand Up @@ -1010,12 +908,6 @@ def test_keras_model_to_graph_def_functional_multiple_inbound_nodes_from_same_no
s: "_DoublingLayer"
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "functional_1/add"
Expand All @@ -1027,12 +919,6 @@ def test_keras_model_to_graph_def_functional_multiple_inbound_nodes_from_same_no
s: "Add"
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
"""
inputs = tf.keras.Input(shape=(2,))
Expand Down