diff options
Diffstat (limited to 'python/pyarmnn/test')
-rw-r--r-- | python/pyarmnn/test/test_generated.py | 4 | ||||
-rw-r--r-- | python/pyarmnn/test/test_tf_parser.py | 133 |
2 files changed, 1 insertions, 136 deletions
diff --git a/python/pyarmnn/test/test_generated.py b/python/pyarmnn/test/test_generated.py index f27d565c2b..60d686afcb 100644 --- a/python/pyarmnn/test/test_generated.py +++ b/python/pyarmnn/test/test_generated.py @@ -9,7 +9,6 @@ import pyarmnn._generated.pyarmnn as generated_armnn import pyarmnn._generated.pyarmnn as generated_deserializer import pyarmnn._generated.pyarmnn_onnxparser as generated_onnx import pyarmnn._generated.pyarmnn_tfliteparser as generated_tflite -import pyarmnn._generated.pyarmnn_tfparser as generated_tf swig_independent_classes = ('IBackend', 'IDeviceSpec', @@ -28,8 +27,7 @@ def get_classes(swig_independent_classes: Tuple): inspect.getmembers(generated_armnn, inspect.isclass) + inspect.getmembers(generated_deserializer, inspect.isclass) + inspect.getmembers(generated_tflite, inspect.isclass) + - inspect.getmembers(generated_onnx, inspect.isclass) + - inspect.getmembers(generated_tf, inspect.isclass))) + inspect.getmembers(generated_onnx, inspect.isclass))) @pytest.mark.parametrize("class_instance", get_classes(swig_independent_classes), ids=lambda x: 'class={}'.format(x[0])) diff --git a/python/pyarmnn/test/test_tf_parser.py b/python/pyarmnn/test/test_tf_parser.py deleted file mode 100644 index 796dd71e7b..0000000000 --- a/python/pyarmnn/test/test_tf_parser.py +++ /dev/null @@ -1,133 +0,0 @@ -# Copyright © 2020 Arm Ltd. All rights reserved. -# SPDX-License-Identifier: MIT -import os - -import pytest -import pyarmnn as ann -import numpy as np - - -@pytest.fixture() -def parser(shared_data_folder): - """ - Parse and setup the test network to be used for the tests below - """ - - # create tf parser - parser = ann.ITfParser() - - # path to model - path_to_model = os.path.join(shared_data_folder, 'mock_model.pb') - - # tensor shape [1, 28, 28, 1] - tensorshape = {'input': ann.TensorShape((1, 28, 28, 1))} - - # requested_outputs - requested_outputs = ["output"] - - # parse tf binary & create network - parser.CreateNetworkFromBinaryFile(path_to_model, tensorshape, requested_outputs) - - yield parser - - -def test_tf_parser_swig_destroy(): - assert ann.ITfParser.__swig_destroy__, "There is a swig python destructor defined" - assert ann.ITfParser.__swig_destroy__.__name__ == "delete_ITfParser" - - -def test_check_tf_parser_swig_ownership(parser): - # Check to see that SWIG has ownership for parser. This instructs SWIG to take - # ownership of the return value. This allows the value to be automatically - # garbage-collected when it is no longer in use - assert parser.thisown - - -def test_tf_parser_get_network_input_binding_info(parser): - input_binding_info = parser.GetNetworkInputBindingInfo("input") - - tensor = input_binding_info[1] - assert tensor.GetDataType() == 1 - assert tensor.GetNumDimensions() == 4 - assert tensor.GetNumElements() == 28*28*1 - assert tensor.GetQuantizationOffset() == 0 - assert tensor.GetQuantizationScale() == 0 - - -def test_tf_parser_get_network_output_binding_info(parser): - output_binding_info = parser.GetNetworkOutputBindingInfo("output") - - tensor = output_binding_info[1] - assert tensor.GetDataType() == 1 - assert tensor.GetNumDimensions() == 2 - assert tensor.GetNumElements() == 10 - assert tensor.GetQuantizationOffset() == 0 - assert tensor.GetQuantizationScale() == 0 - - -def test_tf_filenotfound_exception(shared_data_folder): - parser = ann.ITfParser() - - # path to model - path_to_model = os.path.join(shared_data_folder, 'some_unknown_model.pb') - - # tensor shape [1, 1, 1, 1] - tensorshape = {'input': ann.TensorShape((1, 1, 1, 1))} - - # requested_outputs - requested_outputs = [""] - - # parse tf binary & create network - - with pytest.raises(RuntimeError) as err: - parser.CreateNetworkFromBinaryFile(path_to_model, tensorshape, requested_outputs) - - # Only check for part of the exception since the exception returns - # absolute path which will change on different machines. - assert 'failed to open' in str(err.value) - - -def test_tf_parser_end_to_end(shared_data_folder): - parser = ann.ITfParser = ann.ITfParser() - - tensorshape = {'input': ann.TensorShape((1, 28, 28, 1))} - requested_outputs = ["output"] - - network = parser.CreateNetworkFromBinaryFile(os.path.join(shared_data_folder, 'mock_model.pb'), - tensorshape, requested_outputs) - - input_binding_info = parser.GetNetworkInputBindingInfo("input") - - # load test image data stored in input_tf.npy - input_tensor_data = np.load(os.path.join(shared_data_folder, 'tf_parser/input_tf.npy')).astype(np.float32) - - preferred_backends = [ann.BackendId('CpuAcc'), ann.BackendId('CpuRef')] - - options = ann.CreationOptions() - runtime = ann.IRuntime(options) - - opt_network, messages = ann.Optimize(network, preferred_backends, runtime.GetDeviceSpec(), ann.OptimizerOptions()) - - assert 0 == len(messages) - - net_id, messages = runtime.LoadNetwork(opt_network) - - assert "" == messages - - input_tensors = ann.make_input_tensors([input_binding_info], [input_tensor_data]) - - outputs_binding_info = [] - - for output_name in requested_outputs: - outputs_binding_info.append(parser.GetNetworkOutputBindingInfo(output_name)) - - output_tensors = ann.make_output_tensors(outputs_binding_info) - - runtime.EnqueueWorkload(net_id, input_tensors, output_tensors) - output_vectors = ann.workload_tensors_to_ndarray(output_tensors) - - # Load golden output file for result comparison. - golden_output = np.load(os.path.join(shared_data_folder, 'tf_parser/golden_output_tf.npy')) - - # Check that output matches golden output to 4 decimal places (there are slight rounding differences after this) - np.testing.assert_almost_equal(output_vectors[0], golden_output, decimal=4) |