Temporarily remove prelu from generated_examples_zip_test

PiperOrigin-RevId: 192453411

tensorflow/contrib/lite/testing/BUILD

@@ -42,7 +42,6 @@ gen_zipped_test_files(
         "minimum.zip",
         "mul.zip",
         "pad.zip",
-        "prelu.zip",
         "relu.zip",
         "relu1.zip",
         "relu6.zip",

tensorflow/contrib/lite/testing/generate_examples.py

@@ -630,54 +630,6 @@ def build_inputs(parameters, sess, inputs, outputs):
   make_zip_of_tests(zip_path, test_parameters, build_graph, build_inputs)
 
 
-def make_prelu_tests(zip_path):
-  """Make a set of tests to do PReLU."""
-
-  test_parameters = [{
-      # The canonical case for image processing is having a 4D `input` (NHWC)
-      # and `shared_axes`=[1, 2], so the alpha parameter is per channel.
-      "input_shape": [[1, 10, 10, 3], [3, 3, 3, 3]],
-      "shared_axes": [[1, 2], [1]],
-  }]
-
-  def build_graph(parameters):
-    """Build the graph for the test case."""
-
-    input_tensor = tf.placeholder(
-        dtype=tf.float32, name="input", shape=parameters["input_shape"])
-    prelu = tf.keras.layers.PReLU(shared_axes=parameters["shared_axes"])
-    out = prelu(input_tensor)
-    return [input_tensor], [out]
-
-  def build_inputs(parameters, sess, inputs, outputs):
-    """Build the inputs for the test case."""
-
-    input_shape = parameters["input_shape"]
-    input_values = create_tensor_data(
-        np.float32, input_shape, min_value=-10, max_value=10)
-    shared_axes = parameters["shared_axes"]
-
-    alpha_shape = []
-    for dim in range(1, len(input_shape)):
-      alpha_shape.append(1 if dim in shared_axes else input_shape[dim])
-
-    alpha_values = create_tensor_data(np.float32, alpha_shape)
-
-    with tf.variable_scope("", reuse=True):
-      alpha = tf.get_variable("p_re_lu/alpha")
-      sess.run(alpha.assign(alpha_values))
-
-    return [input_values], sess.run(
-        outputs, feed_dict=dict(zip(inputs, [input_values])))
-
-  make_zip_of_tests(
-      zip_path,
-      test_parameters,
-      build_graph,
-      build_inputs,
-      use_frozen_graph=True)
-
-
 # This function tests various TensorFLow functions that generates Const op,
 # including `tf.ones`, `tf.zeros` and random functions.
 def make_constant_tests(zip_path):