Swipe left or right to the VPN Connections screen and tap on a VPN Template to establish a Client-to-Site VPN connection. :) I’ve encountered something weird, and am unsure whether it is a bug, misuse of the hardware or just a misunderstanding. Hi Everyone, I’m a bit new, so I’m sorry in advance. CudaLaunch (Android and ios) In CudaLaunch, all available VPN connections are on the middle screen. cudaLaunch returned (0x2) Accelerated Computing. Establish the VPN Connection You must trigger the VPN connection to allow the device to access the internal corporate resources. ![]() For more information, see How to Configure VPN Templates in the SSL VPN. CudaLaunch on Android uses our own TINA VPN client CudaLaunch on ios manages the built-in IPsec VPN client. The VPN Templates are automatically downloaded when starting CudaLaunch. Provision VPN Connections via VPN Templates in the SSL VPN Service By adding group-policy-based VPN templates to your NG SSL VPN Resources, you can let end users connect to the Barracuda NG Firewall via VPN connection from their Android or ios devices. For more information, see NG Firewall Configuration for CudaLaunch. In this article: Before you Begin Configure the Barracuda NG Firewall for CudaLaunch. ![]() VPN Configuration for CudaLaunch done through SSL-VPN VPN Templates. ![]() The same applies for other mobile and desktop devices or corporate services requiring special client software. For example, it is not possible to use RDP Application Tunneling resources directly in CudaLaunch, but you can use a local RDP app to connect to that same Terminal Server via the CudaLaunch VPN connection. CudaLaunch is a mobile and desktop application that allows remote users to access and manage firewall services and features on the CloudGen Firewall. TVMError: Check failed: ret = 0 (-1 vs.1 Using the CudaLaunch VPN Connections for Native Apps When using the CudaLaunch VPN connections to connect to the Barracuda NG Firewall, you can use native apps on your mobile device to access resources in the corporate network that are otherwise not accessible. (0) /tvm/build/libtvm.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x34) įile “/tvm/src/runtime/cuda/cuda_”, line 215įile “/tvm/src/runtime/module_”, line 73 (1) /tvm/build/libtvm.so(tvm::runtime::CUDAWrappedFunc::operator()(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*, void**) const+0x5ae) (3) /tvm/build/libtvm.so(std:: Function_handler(tvm::runtime::CUDAWrappedFunc, std::vector const&)::::operator()(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const+0x23d) (4) /tvm/build/libtvm.so(std::function::operator()(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const+0x5a) The macOS version is available in the macOS App. T he Windows version is available from the Microsoft Windows 10 App Store. Download and install CudaLaunch on your device. For more information, see CloudGen Firewall Configuration for CudaLaunch. (5) /tvm/build/libtvm.so(tvm::runtime::PackedFunc::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const+0x30) Configure the services and features you want to use in CudaLaunch. (6) /tvm/build/libtvm.so(TVMFuncCall+0x95) Tvm._: Traceback (most recent call last): Op_res, (grad_input, grad_weight) = intrp.evaluate(bwd_func)(data, weight)įile “/tvm/python/tvm/relay/backend/interpreter.py”, line 316, in _interp_wrapperįile “/tvm/python/tvm/_ffi/_ctypes/function.py”, line 210, in call A fallback configuration is used, which may bring great performance regression.įile “/tvm/tests/python/relay/test_op_grad_level2.py”, line 132, inįile “/tvm/tests/python/relay/test_op_grad_level2.py”, line 125, in test_conv2d_gradįile “/tvm/tests/python/relay/test_op_grad_level2.py”, line 113, in verify_conv2d_grad A fallback configuration is used, which may bring great performance regression.Ĭannot find config for target=cuda, workload=(‘conv2d_transpose_nchw’, (1, 128, 17, 17, ‘float32’), (128, 736, 1, 1, ‘float32’), (1, 1), (0, 0), ‘float32’). Instead, I have call a function that calls cudaLaunchKernel inside it. For some reason, I am not able the directly call cudaLaunchKernel. I added this test case in “def test_conv2d_grad()” in /tvm/tests/python/relay/test_op_grad_level2.py I am trying to launch kernel function using the runtime API. ![]() Hi, I want to test conv2d_grad on GPU, but got some error.
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