mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
7a974a88f2
This PR fixes the errors like below: ``` [rank7]: RuntimeError: /tmp/comgr-c3c81b/input/CompileSourceejOPx6:34:8: error: unknown type name 'uint64_t'; did you mean '__hip_internal::uint64_t'? [rank7]: 34 | if(((uint64_t) t0.data) % (4 * sizeof(half)) != 0) flag_vec4 = false; ``` The following datatypes needs to be defined in `torch/csrc/jit/codegen/fuser/cuda/resource_strings.h` for ROCm versions >= 7.0. ``` typedef unsigned char uint8_t; typedef signed char int8_t; typedef short int int16_t; typedef long long int int64_t; typedef unsigned long long int uint64_t; ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/159996 Approved by: https://github.com/pruthvistony, https://github.com/Skylion007, https://github.com/jeffdaily |
||
|---|---|---|
| .. | ||
| cpu | ||
| cuda | ||
| arg_spec.h | ||
| codegen.cpp | ||
| codegen.h | ||
| compiler.cpp | ||
| compiler.h | ||
| executor.cpp | ||
| executor.h | ||
| fallback.cpp | ||
| fallback.h | ||
| fused_kernel.h | ||
| interface.cpp | ||
| interface.h | ||
| kernel_cache.cpp | ||
| kernel_cache.h | ||
| kernel_spec.h | ||
| partition_desc.h | ||
| README.md | ||
| tensor_desc.h | ||
| tensor_info.h | ||
PyTorch Fuser
The fuser accepts subgraphs wrapped in "fusion nodes" and tries to execute them by just-in-time (JIT) compiling kernels that run all the graph operations.
Code Organization
The fuser is designed hierarchically with device-independent logic eventually deferring to device-specific logic and implementation. The device-specific code is (mostly) found in each devices' subdirectory. The device-independent logic has six components:
- The Interface (interface.h/cpp) has functions to register and run fusions, interrogate fusion functionality, and perform debugging.
- The Compiler (compiler.h/cpp) performs "upfront" and "runtime" compilation. When fusions are registered, upfront compilation produces fallback code and and performs some shape inference. When a fusion is run, runtime compilation invokes code generation and the device-specific compilation logic.
- The Code Generator (codegen.h/cpp) produces the string to be compiled on the device.
- The Executor (executor.h/cpp) runs requested fusions. It performs shape inference, expands tensors as necessary, determines the device to run on, acquires a cached compiled kernel or requests the Compiler produce a new one, invokes device-specific code to launch the kernel and updates the stack.
- The Fallback (fallback.h/cpp) runs subgraphs that can't be fused because shape inference didn't determine a common tensor size or the device the tensors are on doesn't support fusion.
- The Kernel Specification Cache (kernel_cache.h/cpp) is a thread-safe cache holding the device-independent specifications produced during upfront compilation. These specifications each have their own thread-safe stores of compiled kernels that the Executor checks before requesting runtime compilation.
The device-specific components have logic for compiling and running code in FusedKernelCPU (cpu/fused_kernel.h/cpp) and FusedKernelCUDA (cuda/fused_kernel.h/cpp).