in Tacotron2 when modules are scripted in amp. Disable autocast in TorchScript by using `torch._C._jit_set_autocast_mode(False)` if you encounter this issue. PyTorch RN-08516-001_v23.07 | 120 Chapter the nvfuser backend for scripted models. Users can enable it using the context manager: with.torch.jit.fuser("fuser2"): PyTorch Release 21.04 PyTorch RN-08516-001_v23.07 | 200 ‣ Ubuntu 20.04 with executor at the beginning of your script might reduce this effect via: torch._C._jit_set_profiling_executor(False) torch._C._jit_set_profiling_mode(False) ‣ A workaround for the WaveGlow training regression

C extensions for pandas) . . . . . . . . . . . . . . . . . . . . . . . . . . . 944 2.23.2 Numba (JIT compilation) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 949 2.23.3 Expression Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to both the passed function (if a standard Python

C extensions for pandas) . . . . . . . . . . . . . . . . . . . . . . . . . . . 944 2.23.2 Numba (JIT compilation) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 949 2.23.3 Expression Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to both the passed function (if a standard Python

C extensions for pandas) . . . . . . . . . . . . . . . . . . . . . . . . . . . 897 2.23.2 Numba (JIT compilation) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 901 2.23.3 Expression Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit deco- rator. These keyword arguments will be applied to both the passed function (if a standard Python

C extensions for pandas) . . . . . . . . . . . . . . . . . . . . . . . . . . . 934 2.23.2 Numba (JIT compilation) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 940 2.23.3 Expression Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to both the passed function (if a standard Python

C extensions for pandas) . . . . . . . . . . . . . . . . . . . . . . . . . . . 935 2.23.2 Numba (JIT compilation) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 941 2.23.3 Expression Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to both the passed function (if a standard Python

Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to both the passed function (if a standard Python the Cython docs on compiler directives. Numba (JIT compilation) An alternative to statically compiling Cython code is to use a dynamic just-in-time (JIT) compiler with Numba. Numba allows you to write

破局 基于 Apache APISIX 破局 在 Luajit 上引入动态 lib 的性能考虑 • C/Rust to Lua的context switch • 参数和结果的类型转换 • jit下无需担心 ASLR / PLT，但也是indirect call 基于 Apache APISIX 破局 性能对比 OpenResty 下，解析config.yaml 1000次 W r i

Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit dec- orator. These keyword arguments will be applied to both the passed function (if a standard Python The engine_kwargs argument is a dictionary of key- word arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to the passed function. Currently only nogil, nopython

Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit dec- orator. These keyword arguments will be applied to both the passed function (if a standard Python The engine_kwargs argument is a dictionary of key- word arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to the passed function. Currently only nogil, nopython