wehub-resource-sync
129 lines
4.4 KiB
Python
129 lines
4.4 KiB
Python
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Test configs for gather."""
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import tensorflow as tf
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from tensorflow.lite.testing.zip_test_utils import create_tensor_data
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from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
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from tensorflow.lite.testing.zip_test_utils import register_make_test_function
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@register_make_test_function()
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def make_gather_tests(options):
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"""Make a set of tests to do gather."""
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test_parameters = [
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{
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"params_dtype": [tf.float32, tf.int32, tf.int64, tf.int16],
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"params_shape": [[1, 2, 20]],
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"indices_dtype": [tf.int32, tf.int64],
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"indices_shape": [[3], [5]],
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"axis": [-1, 0, 1],
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"batch_dims": [0],
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"constant_params": [False, True],
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},
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{
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"params_dtype": [tf.string],
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"params_shape": [[8]],
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"indices_dtype": [tf.int32],
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"indices_shape": [[3], [3, 2]],
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"axis": [0],
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"batch_dims": [0],
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"constant_params": [False, True],
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},
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{
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"params_dtype": [tf.float32],
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"params_shape": [[1, 2, 20]],
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"indices_dtype": [tf.int32, tf.int64],
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"indices_shape": [[3], [5]],
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"axis": [-1, 0, 1],
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"batch_dims": [0],
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"constant_params": [False],
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# Fix the indice values to prevent representative dataset generator
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# from generating invalid values.
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"constant_indices": [True],
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"fully_quantize": [True],
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"input_range": [(-10, 10)],
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},
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{
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# Test with batch_dims.
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"params_dtype": [tf.float32, tf.int32],
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"params_shape": [[2, 2, 3, 5]],
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"indices_dtype": [tf.int32],
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"indices_shape": [[2, 2, 2]],
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"axis": [0, 2],
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"batch_dims": [1, 2],
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"constant_params": [False, True],
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}
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]
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def build_graph(parameters):
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"""Build the gather op testing graph."""
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inputs = []
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if parameters["constant_params"]:
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params = create_tensor_data(parameters["params_dtype"],
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parameters["params_shape"])
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else:
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params = tf.compat.v1.placeholder(
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dtype=parameters["params_dtype"],
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name="params",
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shape=parameters["params_shape"])
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inputs.append(params)
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if parameters.get("constant_indices", False):
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indices = create_tensor_data(
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parameters["indices_dtype"],
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parameters["indices_shape"],
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min_value=0,
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max_value=parameters["params_shape"][0] - 1)
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else:
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indices = tf.compat.v1.placeholder(
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dtype=parameters["indices_dtype"],
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name="indices",
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shape=parameters["indices_shape"])
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inputs.append(indices)
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axis = min(len(parameters["params_shape"]), parameters["axis"])
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out = tf.gather(
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params, indices, axis=axis, batch_dims=parameters["batch_dims"])
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return inputs, [out]
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def build_inputs(parameters, sess, inputs, outputs):
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input_values = []
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min_value, max_value = parameters.get("input_range", (-10, 10))
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if not parameters["constant_params"]:
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params = create_tensor_data(
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parameters["params_dtype"],
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parameters["params_shape"],
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min_value=min_value,
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max_value=max_value)
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input_values.append(params)
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if not parameters.get("constant_indices", False):
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indices = create_tensor_data(
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parameters["indices_dtype"],
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parameters["indices_shape"],
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min_value=0,
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max_value=parameters["params_shape"][0] - 1)
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input_values.append(indices)
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return input_values, sess.run(
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outputs, feed_dict=dict(zip(inputs, input_values)))
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make_zip_of_tests(
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options,
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test_parameters,
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build_graph,
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build_inputs,
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expected_tf_failures=0)
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