Tsr TS流分析工具

时间: 2023-11-14 08:26:34 浏览: 41
Tsr TS流分析工具是一个用于分析DVB标准的mepg2 TS流的工具包。它是机顶盒开发中必备的工具之一。该工具可以帮助开发人员分析TS流中的PSI(Program Specific Information)和SI(Service Information)以及PID(Packet Identifier)信息。通过分析这些信息,开发人员可以更好地理解和调试TS流,以确保其正常运行和正确性。 此外,还有其他类似的工具可供选择,例如ts expert,它也可以在TS流中进行类似的分析,并提供可执行文件和源程序供开发人员使用。<span class="em">1</span><span class="em">2</span> #### 引用[.reference_title] - *1* [码流分析工具tsr](https://download.csdn.net/download/majianzhong060/10464895)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"] - *2* [ts流分析软件TS Expert](https://blog.csdn.net/comz0690/article/details/114843115)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"] [ .reference_list ]

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Runs MNIST training with differential privacy. """ Using matrix project to compress the gradient matrix """ def compress(grad, num_k, power_iter=1): return B, G_hat """ Complete the function of per-example clip """ def clip_column(tsr, clip_value=1.0): return def train(args, model, device, train_loader, optimizer, epoch, loss_func, clip_value): model.train() # criterion = nn.CrossEntropyLoss() losses = [] for _batch_idx, (data, target) in enumerate(tqdm(train_loader)): data, target = data.to(device), target.to(device) batch_grad_list = [] optimizer.zero_grad() output = model(data) loss = loss_func(output, target) if not args.disable_dp: with backpack(BatchGrad()): loss.backward() for p in model.parameters(): batch_grad_list.append(p.grad_batch.reshape(p.grad_batch.shape[0], -1)) #compose gradient into Matrix del p.grad_batch """ Using project method to compress the gradient """ if args.using_compress: #per-example clip else: """ Complete the code of DPSGD """ else: loss.backward() try: for p in model.parameters(): del p.grad_batch except: pass optimizer.step() losses.append(loss.item()) #get the num of the training dataset from train_loader if not args.disable_dp: epsilon = get_epsilon(epoch, delta=args.delta, sigma=args.sigma, sensitivity=clip_value, batch_size=args.batch_size, training_nums=len(train_loader)*args.batch_size) print( f"Train Epoch: {epoch} \t" f"Loss: {np.mean(losses):.6f} " f"(ε = {epsilon:.2f}, δ = {args.delta})" ) else: print(f"Train Epoch: {epoch} \t Loss: {np.mean(losses):.6f}")

wandb: Currently logged in as: 470749941. Use wandb login --relogin to force relogin wandb: Tracking run with wandb version 0.15.5 wandb: Run data is saved locally in /home/zhangmengjie/PID/Python/ERL-Re2-main/wandb/run-20230721_165552-b5nwvm2m wandb: Run wandb offline to turn off syncing. wandb: Syncing run Steps_200_theta_0.5_eval_1_rs_prob_0.05_frac_p_0.7_our_M_1_0.2_1_5_1.0_64_noise_0.2_Pavn_detach_False_1.0_actorloss_MI_sa_s_0.0_random_K_1_Ant-v2_0.005 wandb: ⭐️ View project at https://wandb.ai/470749941/TSR wandb: 🚀 View run at https://wandb.ai/470749941/TSR/runs/b5nwvm2m /home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/gym/envs/registration.py:556: UserWarning: WARN: The environment Ant-v2 is out of date. You should consider upgrading to version v4. f"The environment {id} is out of date. You should consider " Error compiling Cython file: ------------------------------------------------------------ ... See c_warning_callback, which is the C wrapper to the user defined function ''' global py_warning_callback global mju_user_warning py_warning_callback = warn mju_user_warning = c_warning_callback ^ ------------------------------------------------------------ /home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/mujoco_py/cymj.pyx:92:23: Cannot assign type 'void (const char *) except * nogil' to 'void (*)(const char *) noexcept nogil' Error compiling Cython file: ------------------------------------------------------------ ... See c_warning_callback, which is the C wrapper to the user defined function ''' global py_error_callback global mju_user_error py_error_callback = err_callback mju_user_error = c_error_callback ^ ------------------------------------------------------------ /home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/mujoco_py/cymj.pyx:127:21: Cannot assign type 'void (const char *) except * nogil' to 'void (*)(const char *) noexcept nogil' Compiling /home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/mujoco_py/cymj.pyx because it changed. [1/1] Cythonizing /home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/mujoco_py/cymj.pyx wandb: Waiting for W&B process to finish... (failed 1). Press Control-C to abort syncing. wandb: Network error (TransientError), entering retry loop. wandb: Network error (TransientError), entering retry loop.

wandb: Currently logged in as: 470749941. Use wandb login --relogin to force relogin wandb: - Waiting for wandb.init()... wandb: \ Waiting for wandb.init()... wandb: Tracking run with wandb version 0.15.5 wandb: Run data is saved locally in /home/zhangmengjie/PID/Python/ERL-Re2-main/wandb/run-20230721_165849-rrlut7sk wandb: Run wandb offline to turn off syncing. wandb: Syncing run Steps_200_theta_0.5_eval_1_rs_prob_0.05_frac_p_0.7_our_M_1_0.2_10_5_1.0_64_noise_0.2_Pavn_detach_False_1.0_actorloss_MI_sa_s_0.0_random_K_1_Ant-v4_0.005 wandb: ⭐️ View project at https://wandb.ai/470749941/TSR wandb: 🚀 View run at https://wandb.ai/470749941/TSR/runs/rrlut7sk Error compiling Cython file: ------------------------------------------------------------ ... See c_warning_callback, which is the C wrapper to the user defined function ''' global py_warning_callback global mju_user_warning py_warning_callback = warn mju_user_warning = c_warning_callback ^ ------------------------------------------------------------ /home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/mujoco_py/cymj.pyx:92:23: Cannot assign type 'void (const char *) except * nogil' to 'void (*)(const char *) noexcept nogil' Error compiling Cython file: ------------------------------------------------------------ ... See c_warning_callback, which is the C wrapper to the user defined function ''' global py_error_callback global mju_user_error py_error_callback = err_callback mju_user_error = c_error_callback ^ ------------------------------------------------------------ /home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/mujoco_py/cymj.pyx:127:21: Cannot assign type 'void (const char *) except * nogil' to 'void (*)(const char *) noexcept nogil' Compiling /home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/mujoco_py/cymj.pyx because it changed. [1/1] Cythonizing /home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/mujoco_py/cymj.pyx wandb: Waiting for W&B process to finish... (failed 1). Press Control-C to abort syncing. wandb: Network error (TransientError), entering retry loop. wandb: - 0.000 MB of 0.003 MB uploaded (0.000 MB deduped) wandb: \ 0.000 MB of 0.011 MB uploaded (0.000 MB deduped) wandb: Network error (TransientError), entering retry loop. wandb: | 0.000 MB of 0.011 MB uploaded (0.000 MB deduped) wandb: / 0.000 MB of 0.011 MB uploaded (0.000 MB deduped) wandb: - 0.000 MB of 0.011 MB uploaded (0.000 MB deduped) wandb: \ 0.000 MB of 0.011 MB uploaded (0.000 MB deduped

Traceback (most recent call last): File "run_re2.py", line 81, in <module> parameters = Parameters(parser) # Inject the cla arguments in the parameters object File "/home/zhangmengjie/PID/Python/ERL-Re2-main/parameters.py", line 117, in __init__ self.wandb = wandb.init(project="TSR",name=self.name) File "/home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/wandb/sdk/wandb_init.py", line 1173, in init raise e File "/home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/wandb/sdk/wandb_init.py", line 1150, in init wi.setup(kwargs) File "/home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/wandb/sdk/wandb_init.py", line 172, in setup self._wl = wandb_setup.setup(settings=setup_settings) File "/home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/wandb/sdk/wandb_setup.py", line 327, in setup ret = _setup(settings=settings) File "/home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/wandb/sdk/wandb_setup.py", line 320, in _setup wl = _WandbSetup(settings=settings) File "/home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/wandb/sdk/wandb_setup.py", line 303, in __init__ _WandbSetup._instance = _WandbSetup__WandbSetup(settings=settings, pid=pid) File "/home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/wandb/sdk/wandb_setup.py", line 108, in __init__ self._settings = self._settings_setup(settings, self._early_logger) File "/home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/wandb/sdk/wandb_setup.py", line 128, in _settings_setup s._apply_env_vars(self._environ, _logger=early_logger) File "/home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/wandb/sdk/wandb_settings.py", line 1597, in _apply_env_vars self.update(env, source=Source.ENV) File "/home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/wandb/sdk/wandb_settings.py", line 1453, in update self.__dict__[key].update(settings.pop(key), source=source) File "/home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/wandb/sdk/wandb_settings.py", line 425, in update self._value = self._validate(self._preprocess(value)) File "/home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/wandb/sdk/wandb_settings.py", line 386, in _validate if not v(value): File "/home/zhangmengjie/anaconda3/envs/torch1/lib/python3.7/site-packages/wandb/sdk/wandb_settings.py", line 898, in _validate_mode raise UsageError(f"Settings field mode: {value!r} not in {choices}") wandb.errors.UsageError: Settings field mode: '' not in {'dryrun', 'online', 'disabled', 'run', 'offline'}

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