71 lines
2.8 KiB
Python
71 lines
2.8 KiB
Python
# Copyright (C) 2022 Intel Corporation
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
import numpy as np
|
|
import pytest
|
|
|
|
from common.tf_layer_test_class import CommonTFLayerTest
|
|
|
|
# Testing operation ArgMin, ArgMax (Initial Implementation)
|
|
# Documentation: https://www.tensorflow.org/api_docs/python/tf/raw_ops/ArgMin
|
|
# https://www.tensorflow.org/api_docs/python/tf/raw_ops/ArgMax
|
|
|
|
class TestArgMinMax(CommonTFLayerTest):
|
|
# input_shape - should be an array
|
|
# dimension - dimension to be used, for vector should be 0
|
|
# op_type - type of testing operation
|
|
# ir_version - common parameter
|
|
# use_new_frontend - common parameter
|
|
def create_argminmax_placeholder_const_net(self, input_shape, dimension, op_type, ir_version, use_new_frontend):
|
|
"""
|
|
Tensorflow net IR net
|
|
|
|
Placeholder->op_type => Placeholder->TopK->Squeeze
|
|
/ / /
|
|
Const-------/ Const-------/-----/
|
|
|
|
"""
|
|
|
|
import tensorflow as tf
|
|
|
|
tf.compat.v1.reset_default_graph()
|
|
|
|
# Create the graph and model
|
|
with tf.compat.v1.Session() as sess:
|
|
op_type_to_tf = {
|
|
'ArgMax': tf.raw_ops.ArgMax,
|
|
'ArgMin': tf.raw_ops.ArgMin,
|
|
}
|
|
tf_input_shape = input_shape.copy()
|
|
tf_input = tf.compat.v1.placeholder(tf.float32, tf_input_shape, 'Input')
|
|
tf_dimension = tf.constant(dimension)
|
|
|
|
op_type_to_tf[op_type](input = tf_input, dimension = tf_dimension)
|
|
|
|
tf.compat.v1.global_variables_initializer()
|
|
tf_net = sess.graph_def
|
|
|
|
ref_net = None
|
|
|
|
return tf_net, ref_net
|
|
|
|
test_data = [
|
|
dict(input_shape=[5], dimension=0), #Simple test of vector
|
|
pytest.param(
|
|
dict(input_shape=[2, 3], dimension=1), #Simple test
|
|
marks=pytest.mark.precommit_tf_fe),
|
|
dict(input_shape=[2, 3, 3, 4], dimension=2), #Simple test with possible nchw/nhcw
|
|
]
|
|
|
|
@pytest.mark.parametrize("params", test_data)
|
|
@pytest.mark.parametrize("op_type", ['ArgMin', 'ArgMax'])
|
|
@pytest.mark.precommit
|
|
@pytest.mark.nightly
|
|
def test_argminmax_placeholder_const(self, params, op_type, ie_device, precision, ir_version, temp_dir,
|
|
use_new_frontend, use_old_api):
|
|
self._test(*self.create_argminmax_placeholder_const_net(**params, op_type=op_type,
|
|
ir_version=ir_version,
|
|
use_new_frontend=use_new_frontend),
|
|
ie_device, precision, ir_version, temp_dir=temp_dir,
|
|
use_new_frontend=use_new_frontend, use_old_api=use_old_api)
|