From dc0c6ed9f8b993e63f492f203d7d7080ab4c835c Mon Sep 17 00:00:00 2001 From: Richard Burton Date: Wed, 8 Apr 2020 16:39:05 +0100 Subject: Add PyArmNN to work with ArmNN API of 20.02 * Add Swig rules for generating python wrapper * Add documentation * Add tests and testing data Change-Id: If48eda08931514fa21e72214dfead2835f07237c Signed-off-by: Richard Burton Signed-off-by: Derek Lamberti --- python/pyarmnn/test/test_tflite_parser.py | 147 ++++++++++++++++++++++++++++++ 1 file changed, 147 insertions(+) create mode 100644 python/pyarmnn/test/test_tflite_parser.py (limited to 'python/pyarmnn/test/test_tflite_parser.py') diff --git a/python/pyarmnn/test/test_tflite_parser.py b/python/pyarmnn/test/test_tflite_parser.py new file mode 100644 index 0000000000..344ec7ca13 --- /dev/null +++ b/python/pyarmnn/test/test_tflite_parser.py @@ -0,0 +1,147 @@ +# 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 + """ + parser = ann.ITfLiteParser() + parser.CreateNetworkFromBinaryFile(os.path.join(shared_data_folder, 'mock_model.tflite')) + + yield parser + + +def test_tflite_parser_swig_destroy(): + assert ann.ITfLiteParser.__swig_destroy__, "There is a swig python destructor defined" + assert ann.ITfLiteParser.__swig_destroy__.__name__ == "delete_ITfLiteParser" + + +def test_check_tflite_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_tflite_get_sub_graph_count(parser): + graphs_count = parser.GetSubgraphCount() + assert graphs_count == 1 + + +def test_tflite_get_network_input_binding_info(parser): + graphs_count = parser.GetSubgraphCount() + graph_id = graphs_count - 1 + + input_names = parser.GetSubgraphInputTensorNames(graph_id) + + input_binding_info = parser.GetNetworkInputBindingInfo(graph_id, input_names[0]) + + tensor = input_binding_info[1] + assert tensor.GetDataType() == 2 + assert tensor.GetNumDimensions() == 4 + assert tensor.GetNumElements() == 784 + assert tensor.GetQuantizationOffset() == 128 + assert tensor.GetQuantizationScale() == 0.007843137718737125 + + +def test_tflite_get_network_output_binding_info(parser): + graphs_count = parser.GetSubgraphCount() + graph_id = graphs_count - 1 + + output_names = parser.GetSubgraphOutputTensorNames(graph_id) + + output_binding_info1 = parser.GetNetworkOutputBindingInfo(graph_id, output_names[0]) + + # Check the tensor info retrieved from GetNetworkOutputBindingInfo + tensor1 = output_binding_info1[1] + + assert tensor1.GetDataType() == 2 + assert tensor1.GetNumDimensions() == 2 + assert tensor1.GetNumElements() == 10 + assert tensor1.GetQuantizationOffset() == 0 + assert tensor1.GetQuantizationScale() == 0.00390625 + + +def test_tflite_get_subgraph_input_tensor_names(parser): + graphs_count = parser.GetSubgraphCount() + graph_id = graphs_count - 1 + + input_names = parser.GetSubgraphInputTensorNames(graph_id) + + assert input_names == ('input_1',) + + +def test_tflite_get_subgraph_output_tensor_names(parser): + graphs_count = parser.GetSubgraphCount() + graph_id = graphs_count - 1 + + output_names = parser.GetSubgraphOutputTensorNames(graph_id) + + assert output_names[0] == 'dense/Softmax' + + +def test_tflite_filenotfound_exception(shared_data_folder): + parser = ann.ITfLiteParser() + + with pytest.raises(RuntimeError) as err: + parser.CreateNetworkFromBinaryFile(os.path.join(shared_data_folder, 'some_unknown_network.tflite')) + + # Only check for part of the exception since the exception returns + # absolute path which will change on different machines. + assert 'Cannot find the file' in str(err.value) + + +def test_tflite_parser_end_to_end(shared_data_folder): + parser = ann.ITfLiteParser() + + network = parser.CreateNetworkFromBinaryFile(os.path.join(shared_data_folder, "mock_model.tflite")) + + graphs_count = parser.GetSubgraphCount() + graph_id = graphs_count - 1 + + input_names = parser.GetSubgraphInputTensorNames(graph_id) + input_binding_info = parser.GetNetworkInputBindingInfo(graph_id, input_names[0]) + + output_names = parser.GetSubgraphOutputTensorNames(graph_id) + + 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 + + # Load test image data stored in input_lite.npy + input_tensor_data = np.load(os.path.join(shared_data_folder, 'tflite_parser/input_lite.npy')) + input_tensors = ann.make_input_tensors([input_binding_info], [input_tensor_data]) + + output_tensors = [] + for index, output_name in enumerate(output_names): + out_bind_info = parser.GetNetworkOutputBindingInfo(graph_id, output_name) + out_tensor_info = out_bind_info[1] + out_tensor_id = out_bind_info[0] + output_tensors.append((out_tensor_id, + ann.Tensor(out_tensor_info))) + + runtime.EnqueueWorkload(net_id, input_tensors, output_tensors) + + output_vectors = [] + for index, out_tensor in enumerate(output_tensors): + output_vectors.append(out_tensor[1].get_memory_area()) + + # Load golden output file for result comparison. + expected_outputs = np.load(os.path.join(shared_data_folder, 'tflite_parser/golden_output_lite.npy')) + + # Check that output matches golden output + assert (expected_outputs == output_vectors[0]).all() -- cgit v1.2.1