KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

How to use test_forward method in uiautomator

Best Python code snippet using uiautomator

test_forward.py

Source:test_forward.py

...47                                    + DARKNET_LIB + '?raw=true'48_download(DARKNETLIB_URL, DARKNET_LIB)49LIB = __darknetffi__.dlopen('./' + DARKNET_LIB)5051def test_forward(net):52    '''Test network with given input image on both darknet and tvm'''53    def get_darknet_output(net, img):54        return LIB.network_predict_image(net, img)5556    def get_tvm_output(net, img):57        '''Compute TVM output'''58        dtype = 'float32'59        batch_size = 160        sym, params = frontend.darknet.from_darknet(net, dtype)61        data = np.empty([batch_size, img.c, img.h, img.w], dtype)62        i = 063        for c in range(img.c):64            for h in range(img.h):65                for k in range(img.w):66                    data[0][c][h][k] = img.data[i]67                    i = i + 16869        target = 'llvm'70        shape_dict = {'data': data.shape}71        #with nnvm.compiler.build_config(opt_level=2):72        graph, library, params = nnvm.compiler.build(sym, target, shape_dict, dtype, params=params)73        ######################################################################74        # Execute on TVM75        # ---------------76        # The process is no different from other examples.77        from tvm.contrib import graph_runtime78        ctx = tvm.cpu(0)79        m = graph_runtime.create(graph, library, ctx)80        # set inputs81        m.set_input('data', tvm.nd.array(data.astype(dtype)))82        m.set_input(**params)83        m.run()84        # get outputs85        out_shape = (net.outputs,)86        tvm_out = m.get_output(0, tvm.nd.empty(out_shape, dtype)).asnumpy()87        return tvm_out8889    test_image = 'dog.jpg'90    img_url = 'https://github.com/siju-samuel/darknet/blob/master/data/' + test_image   +'?raw=true'91    _download(img_url, test_image)92    img = LIB.letterbox_image(LIB.load_image_color(test_image.encode('utf-8'), 0, 0), net.w, net.h)93    darknet_output = get_darknet_output(net, img)94    darknet_out = np.zeros(net.outputs, dtype='float32')95    for i in range(net.outputs):96        darknet_out[i] = darknet_output[i]97    tvm_out = get_tvm_output(net, img)98    np.testing.assert_allclose(darknet_out, tvm_out, rtol=1e-3, atol=1e-3)99100def test_forward_extraction():101    '''test extraction model'''102    model_name = 'extraction'103    cfg_name = model_name + '.cfg'104    weights_name = model_name + '.weights'105    cfg_url = 'https://github.com/pjreddie/darknet/blob/master/cfg/' + cfg_name + '?raw=true'106    weights_url = 'http://pjreddie.com/media/files/' + weights_name + '?raw=true'107    _download(cfg_url, cfg_name)108    _download(weights_url, weights_name)109    net = LIB.load_network(cfg_name.encode('utf-8'), weights_name.encode('utf-8'), 0)110    test_forward(net)111    LIB.free_network(net)112113def test_forward_alexnet():114    '''test alexnet model'''115    model_name = 'alexnet'116    cfg_name = model_name + '.cfg'117    weights_name = model_name + '.weights'118    cfg_url = 'https://github.com/pjreddie/darknet/blob/master/cfg/' + cfg_name + '?raw=true'119    weights_url = 'http://pjreddie.com/media/files/' + weights_name + '?raw=true'120    _download(cfg_url, cfg_name)121    _download(weights_url, weights_name)122    net = LIB.load_network(cfg_name.encode('utf-8'), weights_name.encode('utf-8'), 0)123    test_forward(net)124    LIB.free_network(net)125126def test_forward_resnet50():127    '''test resnet50 model'''128    model_name = 'resnet50'129    cfg_name = model_name + '.cfg'130    weights_name = model_name + '.weights'131    cfg_url = 'https://github.com/pjreddie/darknet/blob/master/cfg/' + cfg_name + '?raw=true'132    weights_url = 'http://pjreddie.com/media/files/' + weights_name + '?raw=true'133    _download(cfg_url, cfg_name)134    _download(weights_url, weights_name)135    net = LIB.load_network(cfg_name.encode('utf-8'), weights_name.encode('utf-8'), 0)136    test_forward(net)137    LIB.free_network(net)138139def test_forward_yolo():140    '''test yolo model'''141    model_name = 'yolo'142    cfg_name = model_name + '.cfg'143    weights_name = model_name + '.weights'144    cfg_url = 'https://github.com/pjreddie/darknet/blob/master/cfg/' + cfg_name + '?raw=true'145    weights_url = 'http://pjreddie.com/media/files/' + weights_name + '?raw=true'146    _download(cfg_url, cfg_name)147    _download(weights_url, weights_name)148    net = LIB.load_network(cfg_name.encode('utf-8'), weights_name.encode('utf-8'), 0)149    test_forward(net)150    LIB.free_network(net)151152def test_forward_convolutional():153    '''test convolutional layer'''154    net = LIB.make_network(1)155    layer = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0)156    net.layers[0] = layer157    net.w = net.h = 224158    LIB.resize_network(net, 224, 224)159    test_forward(net)160    LIB.free_network(net)161162def test_forward_dense():163    '''test fully connected layer'''164    net = LIB.make_network(1)165    layer = LIB.make_connected_layer(1, 75, 20, 1, 0, 0)166    net.layers[0] = layer167    net.w = net.h = 5168    LIB.resize_network(net, 5, 5)169    test_forward(net)170    LIB.free_network(net)171172def test_forward_maxpooling():173    '''test maxpooling layer'''174    net = LIB.make_network(1)175    layer = LIB.make_maxpool_layer(1, 224, 224, 3, 2, 2, 0)176    net.layers[0] = layer177    net.w = net.h = 224178    LIB.resize_network(net, 224, 224)179    test_forward(net)180    LIB.free_network(net)181182def test_forward_avgpooling():183    '''test avgerage pooling layer'''184    net = LIB.make_network(1)185    layer = LIB.make_avgpool_layer(1, 224, 224, 3)186    net.layers[0] = layer187    net.w = net.h = 224188    LIB.resize_network(net, 224, 224)189    test_forward(net)190    LIB.free_network(net)191192def test_forward_batch_norm():193    '''test batch normalization layer'''194    net = LIB.make_network(1)195    layer = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 1, 0, 0, 0)196    for i in range(32):197        layer.rolling_mean[i] = np.random.rand(1)198        layer.rolling_variance[i] = np.random.rand(1)199    net.layers[0] = layer200    net.w = net.h = 224201    LIB.resize_network(net, 224, 224)202    test_forward(net)203    LIB.free_network(net)204205def test_forward_shortcut():206    '''test shortcut layer'''207    net = LIB.make_network(3)208    layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0)209    layer_2 = LIB.make_convolutional_layer(1, 111, 111, 32, 32, 1, 1, 1, 0, 1, 0, 0, 0, 0)210    layer_3 = LIB.make_shortcut_layer(1, 0, 111, 111, 32, 111, 111, 32)211    layer_3.activation = 1212    net.layers[0] = layer_1213    net.layers[1] = layer_2214    net.layers[2] = layer_3215    net.w = net.h = 224216    LIB.resize_network(net, 224, 224)217    test_forward(net)218    LIB.free_network(net)219220def test_forward_reorg():221    '''test reorg layer'''222    net = LIB.make_network(2)223    layer_1 = LIB.make_convolutional_layer(1, 222, 222, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0)224    layer_2 = LIB.make_reorg_layer(1, 110, 110, 32, 2, 0, 0, 0)225    net.layers[0] = layer_1226    net.layers[1] = layer_2227    net.w = net.h = 222228    LIB.resize_network(net, 222, 222)229    test_forward(net)230    LIB.free_network(net)231232def test_forward_region():233    '''test region layer'''234    net = LIB.make_network(2)235    layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 8, 1, 3, 2, 0, 1, 0, 0, 0, 0)236    layer_2 = LIB.make_region_layer(1, 111, 111, 2, 2, 1)237    layer_2.softmax = 1238    net.layers[0] = layer_1239    net.layers[1] = layer_2240    net.w = net.h = 224241    LIB.resize_network(net, 224, 224)242    test_forward(net)243    LIB.free_network(net)244245if __name__ == '__main__':246    test_forward_resnet50()247    test_forward_alexnet()248    test_forward_extraction()249    test_forward_yolo()250    test_forward_convolutional()251    test_forward_maxpooling()252    test_forward_avgpooling()253    test_forward_batch_norm()254    test_forward_shortcut()255    test_forward_dense()256    test_forward_reorg()
...

test_vggtransformer.py

Source:test_vggtransformer.py

...66class VGGTransformerEncoderTest(TestFairseqEncoderBase):67    def setUp(self):68        super().setUp()69        self.setUpInput(get_dummy_input(T=50, D=80, B=5))70    def test_forward(self):71        print("1. test standard vggtransformer")72        self.setUpEncoder(VGGTransformerEncoder(input_feat_per_channel=80))73        super().test_forward()74        print("2. test vggtransformer with limited right context")75        self.setUpEncoder(76            VGGTransformerEncoder(77                input_feat_per_channel=80, transformer_context=(-1, 5)78            )79        )80        super().test_forward()81        print("3. test vggtransformer with limited left context")82        self.setUpEncoder(83            VGGTransformerEncoder(84                input_feat_per_channel=80, transformer_context=(5, -1)85            )86        )87        super().test_forward()88        print("4. test vggtransformer with limited right context and sampling")89        self.setUpEncoder(90            VGGTransformerEncoder(91                input_feat_per_channel=80,92                transformer_context=(-1, 12),93                transformer_sampling=(2, 2),94            )95        )96        super().test_forward()97        print("5. test vggtransformer with windowed context and sampling")98        self.setUpEncoder(99            VGGTransformerEncoder(100                input_feat_per_channel=80,101                transformer_context=(12, 12),102                transformer_sampling=(2, 2),103            )104        )105class TransformerDecoderTest(TestFairseqDecoderBase):106    def setUp(self):107        super().setUp()108        dict = get_dummy_dictionary(vocab_size=DEFAULT_TEST_VOCAB_SIZE)109        decoder = TransformerDecoder(dict)110        dummy_encoder_output = get_dummy_encoder_output(encoder_out_shape=(50, 5, 256))...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.