From 245d64c60d0ea30f5080ff53225b5169927e24d6 Mon Sep 17 00:00:00 2001 From: Matthew Bentham Date: Mon, 2 Dec 2019 12:59:43 +0000 Subject: Work in progress of python bindings for Arm NN Not built or tested in any way Signed-off-by: Matthew Bentham Change-Id: Ie7f92b529aa5087130f0c5cc8c17db1581373236 --- python/pyarmnn/test/test_tensor.py | 135 +++++++++++++++++++++++++++++++++++++ 1 file changed, 135 insertions(+) create mode 100644 python/pyarmnn/test/test_tensor.py (limited to 'python/pyarmnn/test/test_tensor.py') diff --git a/python/pyarmnn/test/test_tensor.py b/python/pyarmnn/test/test_tensor.py new file mode 100644 index 0000000000..bd043ed971 --- /dev/null +++ b/python/pyarmnn/test/test_tensor.py @@ -0,0 +1,135 @@ +# Copyright © 2019 Arm Ltd. All rights reserved. +# SPDX-License-Identifier: MIT + +from copy import copy + +import pytest +import numpy as np +import pyarmnn as ann + + +def __get_tensor_info(dt): + tensor_info = ann.TensorInfo(ann.TensorShape((2, 3)), dt) + + return tensor_info + + +@pytest.mark.parametrize("dt", [ann.DataType_Float32, ann.DataType_Float16, ann.DataType_QuantisedAsymm8]) +def test_create_tensor_with_info(dt): + tensor_info = __get_tensor_info(dt) + elements = tensor_info.GetNumElements() + num_bytes = tensor_info.GetNumBytes() + d_type = dt + + tensor = ann.Tensor(tensor_info) + + assert tensor_info != tensor.GetInfo(), "Different objects" + assert elements == tensor.GetNumElements() + assert num_bytes == tensor.GetNumBytes() + assert d_type == tensor.GetDataType() + + +def test_create_tensor_undefined_datatype(): + tensor_info = ann.TensorInfo() + tensor_info.SetDataType(99) + + with pytest.raises(ValueError) as err: + ann.Tensor(tensor_info) + + assert 'The data type provided for this Tensor is not supported.' in str(err.value) + + +@pytest.mark.parametrize("dt", [ann.DataType_Float32]) +def test_tensor_memory_output(dt): + tensor_info = __get_tensor_info(dt) + tensor = ann.Tensor(tensor_info) + + # empty memory area because inference has not yet been run. + assert tensor.get_memory_area().tolist() # has random stuff + assert 4 == tensor.get_memory_area().itemsize, "it is float32" + + +@pytest.mark.parametrize("dt", [ann.DataType_Float32, ann.DataType_Float16, ann.DataType_QuantisedAsymm8]) +def test_tensor__str__(dt): + tensor_info = __get_tensor_info(dt) + elements = tensor_info.GetNumElements() + num_bytes = tensor_info.GetNumBytes() + d_type = dt + dimensions = tensor_info.GetNumDimensions() + + tensor = ann.Tensor(tensor_info) + + assert str(tensor) == "Tensor{{DataType: {}, NumBytes: {}, NumDimensions: " \ + "{}, NumElements: {}}}".format(d_type, num_bytes, dimensions, elements) + + +def test_create_empty_tensor(): + tensor = ann.Tensor() + + assert 0 == tensor.GetNumElements() + assert 0 == tensor.GetNumBytes() + assert tensor.get_memory_area() is None + + +@pytest.mark.parametrize("dt", [ann.DataType_Float32, ann.DataType_Float16, ann.DataType_QuantisedAsymm8]) +def test_create_tensor_from_tensor(dt): + tensor_info = __get_tensor_info(dt) + tensor = ann.Tensor(tensor_info) + copied_tensor = ann.Tensor(tensor) + + assert copied_tensor != tensor, "Different objects" + assert copied_tensor.GetInfo() != tensor.GetInfo(), "Different objects" + np.testing.assert_array_equal(copied_tensor.get_memory_area(), tensor.get_memory_area()), "Same memory area" + assert copied_tensor.GetNumElements() == tensor.GetNumElements() + assert copied_tensor.GetNumBytes() == tensor.GetNumBytes() + assert copied_tensor.GetDataType() == tensor.GetDataType() + + +@pytest.mark.parametrize("dt", [ann.DataType_Float32, ann.DataType_Float16, ann.DataType_QuantisedAsymm8]) +def test_copy_tensor(dt): + tensor = ann.Tensor(__get_tensor_info(dt)) + copied_tensor = copy(tensor) + + assert copied_tensor != tensor, "Different objects" + assert copied_tensor.GetInfo() != tensor.GetInfo(), "Different objects" + np.testing.assert_array_equal(copied_tensor.get_memory_area(), tensor.get_memory_area()), "Same memory area" + assert copied_tensor.GetNumElements() == tensor.GetNumElements() + assert copied_tensor.GetNumBytes() == tensor.GetNumBytes() + assert copied_tensor.GetDataType() == tensor.GetDataType() + + +@pytest.mark.parametrize("dt", [ann.DataType_Float32, ann.DataType_Float16, ann.DataType_QuantisedAsymm8]) +def test_copied_tensor_has_memory_area_access_after_deletion_of_original_tensor(dt): + + tensor = ann.Tensor(__get_tensor_info(dt)) + + tensor.get_memory_area()[0] = 100 + + initial_mem_copy = np.array(tensor.get_memory_area()) + + assert 100 == initial_mem_copy[0] + + copied_tensor = ann.Tensor(tensor) + + del tensor + np.testing.assert_array_equal(copied_tensor.get_memory_area(), initial_mem_copy) + assert 100 == copied_tensor.get_memory_area()[0] + + +def test_create_const_tensor_incorrect_args(): + with pytest.raises(ValueError) as err: + ann.Tensor('something', 'something') + + expected_error_message = "Incorrect number of arguments or type of arguments provided to create Tensor." + assert expected_error_message in str(err.value) + + +@pytest.mark.parametrize("dt", [ann.DataType_Float16]) +def test_tensor_memory_output_fp16(dt): + # Check Tensor with float16 + tensor_info = __get_tensor_info(dt) + tensor = ann.Tensor(tensor_info) + + assert tensor.GetNumElements() == 6 + assert tensor.GetNumBytes() == 12 + assert tensor.GetDataType() == ann.DataType_Float16 -- cgit v1.2.1