[BUG] error: use of undeclared identifier '__double2half'; did you mean '__double2hiint'?"

[WeiMa01]

When I launch the script with deepspeed ,there is a error " error: use of undeclared identifier __double2half; did you mean __double2hiint?"

##1. The script as following:

` import torch from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline import time import os import deepspeed

model_id = "/home/user/workspace/workspace/gpt2" payload = "Hello my name is Philipp. I am getting in touch with you because i didn't get a response from you. What do I need to do to get my"

local_rank = int(os.getenv('LOCAL_RANK', '0')) world_size = int(os.getenv('WORLD_SIZE', '1')) print("world_size",world_size) generator = pipeline('text-generation', model=model_id, device=local_rank,torch_dtype=torch.float16) print("generator") generator.model = deepspeed.init_inference(generator.model, mp_size=world_size, dtype=torch.float16, replace_with_kernel_inject=True)

string = generator(payload, do_sample=True,num_beams=1, min_length=256,max_new_tokens=256,pad_token_id = 50256) if not torch.distributed.is_initialized() or torch.distributed.get_rank() == 0: print(string) ` ##2. the H/W and S/W ds_report:

` ' DeepSpeed C++/CUDA extension op report

NOTE: Ops not installed will be just-in-time (JIT) compiled at runtime if needed. Op compatibility means that your system meet the required dependencies to JIT install the op.

JIT compiled ops requires ninja ninja .................. [OKAY]

op name ................ installed .. compatible

async_io ............... [NO] ....... [OKAY] cpu_adagrad ............ [NO] ....... [OKAY] cpu_adam ............... [NO] ....... [OKAY] fused_adam ............. [NO] ....... [OKAY] fused_lamb ............. [NO] ....... [OKAY] quantizer .............. [NO] ....... [OKAY] random_ltd ............. [NO] ....... [OKAY] [WARNING] sparse_attn is not compatible with ROCM sparse_attn ............ [NO] ....... [NO] spatial_inference ...... [NO] ....... [OKAY] transformer ............ [NO] ....... [OKAY] stochastic_transformer . [NO] ....... [OKAY] transformer_inference .. [NO] ....... [OKAY] utils .................. [NO] ....... [OKAY]

DeepSpeed general environment info: torch install path ............... ['/opt/conda/lib/python3.8/site-packages/torch'] torch version .................... 1.13.0a0+git941769a deepspeed install path ........... ['/home/user/workspace/DeepSpeed/deepspeed'] deepspeed info ................... 0.9.0+f662bfcd, f662bfcd, master torch cuda version ............... None torch hip version ................ 5.4.22801-aaa1e3d8 nvcc version ..................... None deepspeed wheel compiled w. ...... torch 1.13, hip 5.4 '

##3. launch command:

deepspeed --num_gpus 4 gpt2_deepspeed.py

##4. the error detail as following:

Using envvar MAX_JOBS (32) as the number of workers... [1/5] /opt/rocm/bin/hipcc -DWITH_HIP -DTORCH_EXTENSION_NAME=transformer_inference -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1013\" -I/home/user/workspace/DeepSpeed/csrc/transformer/inference/includes -I/home/user/workspace/DeepSpeed/csrc/includes -isystem /opt/conda/lib/python3.8/site-packages/torch/include -isystem /opt/conda/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.8/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.8/site-packages/torch/include/THC -isystem /opt/conda/lib/python3.8/site-packages/torch/include/THH -isystem /opt/rocm/include -isystem /opt/rocm/miopen/include -isystem /opt/rocm/hip/include -isystem /opt/conda/include/python3.8 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -O3 -std=c++14 -g -Wno-reorder -fPIC -D__HIP_PLATFORM_HCC__=1 -DUSE_ROCM=1 -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -O3 -std=c++14 -U__HIP_NO_HALF_OPERATORS__ -U__HIP_NO_HALF_CONVERSIONS__ -U__HIP_NO_HALF2_OPERATORS__ -DROCM_VERSION_MAJOR=5 -DROCM_VERSION_MINOR=4 --amdgpu-target=gfx900 --amdgpu-target=gfx906 --amdgpu-target=gfx908 --amdgpu-target=gfx90a --amdgpu-target=gfx1030 -fno-gpu-rdc -c /home/user/workspace/DeepSpeed/csrc/transformer/inference/csrc/layer_norm.hip -o layer_norm.cuda.o FAILED: layer_norm.cuda.o /opt/rocm/bin/hipcc -DWITH_HIP -DTORCH_EXTENSION_NAME=transformer_inference -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1013\" -I/home/user/workspace/DeepSpeed/csrc/transformer/inference/includes -I/home/user/workspace/DeepSpeed/csrc/includes -isystem /opt/conda/lib/python3.8/site-packages/torch/include -isystem /opt/conda/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.8/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.8/site-packages/torch/include/THC -isystem /opt/conda/lib/python3.8/site-packages/torch/include/THH -isystem /opt/rocm/include -isystem /opt/rocm/miopen/include -isystem /opt/rocm/hip/include -isystem /opt/conda/include/python3.8 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -O3 -std=c++14 -g -Wno-reorder -fPIC -D__HIP_PLATFORM_HCC__=1 -DUSE_ROCM=1 -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -O3 -std=c++14 -U__HIP_NO_HALF_OPERATORS__ -U__HIP_NO_HALF_CONVERSIONS__ -U__HIP_NO_HALF2_OPERATORS__ -DROCM_VERSION_MAJOR=5 -DROCM_VERSION_MINOR=4 --amdgpu-target=gfx900 --amdgpu-target=gfx906 --amdgpu-target=gfx908 --amdgpu-target=gfx90a --amdgpu-target=gfx1030 -fno-gpu-rdc -c /home/user/workspace/DeepSpeed/csrc/transformer/inference/csrc/layer_norm.hip -o layer_norm.cuda.o Warning: The --amdgpu-target option has been deprecated and will be removed in the future. Use --offload-arch instead. Warning: The --amdgpu-target option has been deprecated and will be removed in the future. Use --offload-arch instead. Warning: The --amdgpu-target option has been deprecated and will be removed in the future. Use --offload-arch instead. Warning: The --amdgpu-target option has been deprecated and will be removed in the future. Use --offload-arch instead. Warning: The --amdgpu-target option has been deprecated and will be removed in the future. Use --offload-arch instead. In file included from /home/user/workspace/DeepSpeed/csrc/transformer/inference/csrc/layer_norm.hip:8: /home/user/workspace/DeepSpeed/csrc/includes/conversion_utils_hip.h:270:12: error: use of undeclared identifier __double2half'; did you mean '__double2hiint? return __double2half(val); ^~~~~~~~~~~~~ __double2hiint /opt/rocm-5.4.0/include/hip/amd_detail/amd_device_functions.h:440:30: note: __double2hiint declared here __device__ static inline int __double2hiint(double x) { ^ In file included from /home/user/workspace/DeepSpeed/csrc/transformer/inference/csrc/layer_norm.hip:12: /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:278:43: error: excess elements in struct initializer constexpr __half2_raw zero = {0x0000, 0x0000}; ^~~~~~ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:285:42: error: excess elements in struct initializer constexpr __half2_raw inf = {0x7C00, 0x7C00}; ^~~~~~ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:292:46: error: excess elements in struct initializer constexpr __half2_raw neg_inf = {0xFC00, 0xFC00}; ^~~~~~ In file included from /home/user/workspace/DeepSpeed/csrc/transformer/inference/csrc/layer_norm.hip:8: In file included from /home/user/workspace/DeepSpeed/csrc/includes/conversion_utils_hip.h:9: In file included from /home/user/workspace/DeepSpeed/csrc/includes/ds_kernel_utils_hip.h:24: In file included from /opt/rocm-5.4.0/include/hip/hip_cooperative_groups.h:38: /opt/rocm-5.4.0/include/hip/amd_detail/amd_hip_cooperative_groups.h:527:3: error: static assertion failed due to requirement 'integral_constant<bool, false>::value': Tile size is either not a power of 2 or greater than the wavefront size static_assert(is_valid_tile_size<size>::value, ^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/rocm-5.4.0/include/hip/amd_detail/amd_hip_cooperative_groups.h:563:39: note: in instantiation of template class 'cooperative_groups::thread_block_tile_base<64>' requested here class thread_block_tile_type : public thread_block_tile_base<tileSize>, public tiled_group { ^ /opt/rocm-5.4.0/include/hip/amd_detail/amd_hip_cooperative_groups.h:624:43: note: in instantiation of template class cooperative_groups::thread_block_tile_type<64> requested here class thread_block_tile_internal : public thread_block_tile_type<size, ParentCGTy> { ^ /opt/rocm-5.4.0/include/hip/amd_detail/amd_hip_cooperative_groups.h:650:46: note: in instantiation of template class cooperative_groups::impl::thread_block_tile_internal<64, void> requested here class thread_block_tile<size, void> : public impl::thread_block_tile_internal<size, void> { ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:343:44: note: in instantiation of template class cooperative_groups::thread_block_tile<64, void> requested here data[0] = element<Op>(data[0], warp.shfl_xor(data[0], i)); ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:352:46: error: no member named 'shfl_xor' in cooperative_groups::thread_block_tile<64, void> data[0] = element<Op1>(data[0], warp.shfl_xor(data[0], i)); ~~~~ ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:353:46: error: no member named 'shfl_xor' in cooperative_groups::thread_block_tile<64, void> data[1] = element<Op2>(data[1], warp.shfl_xor(data[1], i)); ~~~~ ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:362:46: error: no member named 'shfl_xor' in cooperative_groups::thread_block_tile<64, void> data[0] = element<Op1>(data[0], warp.shfl_xor(data[0], i)); ~~~~ ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:363:46: error: no member named 'shfl_xor' in cooperative_groups::thread_block_tile<64, void> data[1] = element<Op2>(data[1], warp.shfl_xor(data[1], i)); ~~~~ ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:364:46: error: no member named 'shfl_xor' in cooperative_groups::thread_block_tile<64, void> data[2] = element<Op3>(data[2], warp.shfl_xor(data[2], i)); ~~~~ ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:373:46: error: no member named 'shfl_xor' in cooperative_groups::thread_block_tile<64, void> data[0] = element<Op1>(data[0], warp.shfl_xor(data[0], i)); ~~~~ ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:374:46: error: no member named 'shfl_xor' in cooperative_groups::thread_block_tile<64, void> data[1] = element<Op2>(data[1], warp.shfl_xor(data[1], i)); ~~~~ ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:375:46: error: no member named 'shfl_xor' in cooperative_groups::thread_block_tile<64, void> data[2] = element<Op3>(data[2], warp.shfl_xor(data[2], i)); ~~~~ ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:376:46: error: no member named 'shfl_xor' in 'cooperative_groups::thread_block_tile<64, void>' data[3] = element<Op4>(data[3], warp.shfl_xor(data[3], i)); ~~~~ ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:412:18: error: no member named 'meta_group_size' in 'cooperative_groups::thread_block_tile<64, void>' if (warp_arg.meta_group_size() > 1 && total_warps != 1) { ~~~~~~~~ ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:413:22: error: no member named 'thread_rank' in 'cooperative_groups::thread_block_tile<64, void>' if (warp_arg.thread_rank() == 0) { ~~~~~~~~ ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:417:54: error: no member named 'meta_group_rank' in 'cooperative_groups::thread_block_tile<64, void>' reduce_buffer + elems * warp_arg.meta_group_rank() + i, data + i); ~~~~~~~~ ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:424:22: error: no member named 'meta_group_rank' in 'cooperative_groups::thread_block_tile<64, void>' if (warp_arg.meta_group_rank() == 0) { ~~~~~~~~ ^ /home/user/workspace/DeepSpeed/csrc/includes/reduction_utils_hip.h:425:26: error: no member named 'thread_rank' in 'cooperative_groups::thread_block_tile<64, void>' if (warp_arg.thread_rank() < warp_arg.meta_group_size()) { ~~~~~~~~ ^ fatal error: too many errors emitted, stopping now [-ferror-limit=] 20 errors generated when compiling for gfx1030.

##Expected behavior Has anyone encountered the same error and how to solve it? thanks you!

##Screenshots If applicable, add screenshots to help explain your problem.

##System info (please complete the following information):

• OS: Ubuntu 20.04

• GPU：GPU : MI100 * 8

• Python version: Python 3.8.13

• Any other relevant info about your setup

##Docker context rocm/pytorch:latest

[mrwyattii]

Hi @WeiMa01 thanks for reporting this issue. It looks like this might be a problem in the hipification of our CUDA code. Could you please share if you were able to run this example previously (perhaps with an older version of ROCm/DeepSpeed)? I'll look into this further. Thanks

[WeiMa01]

Hi @WeiMa01 thanks for reporting this issue. It looks like this might be a problem in the hipification of our CUDA code. Could you please share if you were able to run this example previously (perhaps with an older version of ROCm/DeepSpeed)? I'll look into this further. Thanks

Hi @mrwyattii I can run the script normally on the NVIDIA V100 GPU before, but this error occurs when I transplant it to the MI100 server, and I have not run it with other version of ROCm/DeepSpeed on AMD GPU before.

[seungrokjung]

I also got stuck at this issue: error: use of undeclared identifier '__double2half'; did you mean '__double2hiint'?

[loadams]

This should now be fixed by this PR: https://github.com/microsoft/DeepSpeed/pull/3236

Can you try again and let us know if that fixes this issue?