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When I try to capture tracy profile for 405B on a MI300X server (HIP), it hits following assertion:
iree/third_party/tracy/server/TracyWorker.cpp:5804: void tracy::Worker::ProcessGpuZoneEnd(const tracy::QueueGpuZoneEnd &, bool): Assertion `!ctx->query[ev.queryId]' failed.
I built iree source code with Tracy tracing enabled as:
cmake -G Ninja -B ~/iree-build-trace -S . -DCMAKE_BUILD_TYPE=RelWithDebInfo -DIREE_ENABLE_ASSERTIONS=ON -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ -DIREE_ENABLE_RUNTIME_TRACING=ON -DIREE_BUILD_TRACY=ON -DIREE_ENABLE_LLD=ON -DIREE_BUILD_PYTHON_BINDINGS=ON -DPython3_EXECUTABLE="$(which python3)" -DIREE_TARGET_BACKEND_CUDA=OFF -DIREE_HAL_DRIVER_HIP=ON -DIREE_TARGET_BACKEND_ROCM=ON .
cmake --build ~/iree-build-trace
Then compiled the Tensor Parallel 8 (TP8) sharded IR for llama3.1 405B as below:
~/iree-build-trace/tools/iree-compile --compile-to=input artifacts/405b_f16_prefill_tp8_nondecomposed.mlir -o artifacts/405b_f16_prefill_tp8_nondecomposed.iree.mlir
~/iree-build-trace/tools/iree-compile artifacts/405b_f16_prefill_tp8_nondecomposed.iree.mlir --iree-hip-target=gfx942 --iree-hal-target-device=hip[0] --iree-hal-target-device=hip[1] --iree-hal-target-device=hip[2] --iree-hal-target-device=hip[3] --iree-hal-target-device=hip[4] --iree-hal-target-device=hip[5] --iree-hal-target-device=hip[6] --iree-hal-target-device=hip[7] --iree-dispatch-creation-enable-aggressive-fusion=true --iree-global-opt-propagate-transposes=true --iree-opt-aggressively-propagate-transposes=true --iree-opt-data-tiling=false --iree-preprocessing-pass-pipeline='builtin.module(util.func(iree-preprocessing-generalize-linalg-matmul-experimental))' --iree-hal-indirect-command-buffers=true --iree-stream-resource-memory-model=discrete --iree-hip-legacy-sync=false --iree-hal-memoization=true --iree-opt-strip-assertions --iree-hal-executable-debug-level=3 --iree-hal-dump-executable-sources-to=dump --mlir-print-debuginfo -o=artifacts/prefill_405b_tp8_tracy.vmfb
And then I collect the tracy profile as:
Run in first terminal as: ~/iree-build-trace/tracy/iree-tracy-capture -f -o llama3.1_405b_tp8_fp16_prefill.tracy
Run in another terminal on the same server:
TRACY_PORT=8086 TRACY_NO_EXIT=1 ROCR_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 ~/iree-build-trace/tools/iree-run-module -run-module --hip_use_streams=true --module=artifacts/prefill_405b_tp8_tracy.vmfb --parameters=model=llama3.1_405b_fp16_tp8_parameters.irpa --parameters=model=llama3.1_405b_fp16_tp8_parameters.rank0.irpa --parameters=model=llama3.1_405b_fp16_tp8_parameters.rank1.irpa --parameters=model=llama3.1_405b_fp16_tp8_parameters.rank2.irpa --parameters=model=llama3.1_405b_fp16_tp8_parameters.rank3.irpa --parameters=model=llama3.1_405b_fp16_tp8_parameters.rank4.irpa --parameters=model=llama3.1_405b_fp16_tp8_parameters.rank5.irpa --parameters=model=llama3.1_405b_fp16_tp8_parameters.rank6.irpa --parameters=model=llama3.1_405b_fp16_tp8_parameters.rank7.irpa --device=hip://0 --device=hip://1 --device=hip://2 --device=hip://3 --device=hip://4 --device=hip://5 --device=hip://6 --device=hip://7 --function=prefill_bs4 --input=@weights/405b/prefill_args_bs4_128/random_tokens.npy --input=@prefill_args_bs4_128/seq_lens.npy --input=@prefill_args_bs4_128/seq_block_ids.npy --input=@prefill_args_bs4_128/cs_f16_shard_0.npy --input=@prefill_args_bs4_128/cs_f16_shard_1.npy --input=@prefill_args_bs4_128/cs_f16_shard_2.npy --input=@prefill_args_bs4_128/cs_f16_shard_3.npy --input=@prefill_args_bs4_128/cs_f16_shard_4.npy --input=@prefill_args_bs4_128/cs_f16_shard_5.npy --input=@prefill_args_bs4_128/cs_f16_shard_6.npy --input=@prefill_args_bs4_128/cs_f16_shard_7.npy
prefill_args_bs4_128.zip
Compiler, Runtime
No response
The text was updated successfully, but these errors were encountered:
No branches or pull requests
What happened?
When I try to capture tracy profile for 405B on a MI300X server (HIP), it hits following assertion:
iree/third_party/tracy/server/TracyWorker.cpp:5804: void tracy::Worker::ProcessGpuZoneEnd(const tracy::QueueGpuZoneEnd &, bool): Assertion `!ctx->query[ev.queryId]' failed.
Steps to reproduce your issue
I built iree source code with Tracy tracing enabled as:
cmake -G Ninja -B ~/iree-build-trace -S . -DCMAKE_BUILD_TYPE=RelWithDebInfo
-DIREE_ENABLE_ASSERTIONS=ON -DCMAKE_C_COMPILER=clang
-DCMAKE_CXX_COMPILER=clang++ -DIREE_ENABLE_RUNTIME_TRACING=ON
-DIREE_BUILD_TRACY=ON -DIREE_ENABLE_LLD=ON
-DIREE_BUILD_PYTHON_BINDINGS=ON
-DPython3_EXECUTABLE="$(which python3)"
-DIREE_TARGET_BACKEND_CUDA=OFF -DIREE_HAL_DRIVER_HIP=ON
-DIREE_TARGET_BACKEND_ROCM=ON .
cmake --build ~/iree-build-trace
Then compiled the Tensor Parallel 8 (TP8) sharded IR for llama3.1 405B as below:
~/iree-build-trace/tools/iree-compile --compile-to=input
artifacts/405b_f16_prefill_tp8_nondecomposed.mlir
-o artifacts/405b_f16_prefill_tp8_nondecomposed.iree.mlir
~/iree-build-trace/tools/iree-compile
artifacts/405b_f16_prefill_tp8_nondecomposed.iree.mlir
--iree-hip-target=gfx942
--iree-hal-target-device=hip[0]
--iree-hal-target-device=hip[1]
--iree-hal-target-device=hip[2]
--iree-hal-target-device=hip[3]
--iree-hal-target-device=hip[4]
--iree-hal-target-device=hip[5]
--iree-hal-target-device=hip[6]
--iree-hal-target-device=hip[7]
--iree-dispatch-creation-enable-aggressive-fusion=true
--iree-global-opt-propagate-transposes=true
--iree-opt-aggressively-propagate-transposes=true
--iree-opt-data-tiling=false
--iree-preprocessing-pass-pipeline='builtin.module(util.func(iree-preprocessing-generalize-linalg-matmul-experimental))'
--iree-hal-indirect-command-buffers=true
--iree-stream-resource-memory-model=discrete
--iree-hip-legacy-sync=false
--iree-hal-memoization=true
--iree-opt-strip-assertions
--iree-hal-executable-debug-level=3
--iree-hal-dump-executable-sources-to=dump
--mlir-print-debuginfo
-o=artifacts/prefill_405b_tp8_tracy.vmfb
And then I collect the tracy profile as:
Run in first terminal as:
~/iree-build-trace/tracy/iree-tracy-capture -f -o llama3.1_405b_tp8_fp16_prefill.tracy
Run in another terminal on the same server:
TRACY_PORT=8086 TRACY_NO_EXIT=1 ROCR_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
~/iree-build-trace/tools/iree-run-module -run-module --hip_use_streams=true
--module=artifacts/prefill_405b_tp8_tracy.vmfb
--parameters=model=llama3.1_405b_fp16_tp8_parameters.irpa
--parameters=model=llama3.1_405b_fp16_tp8_parameters.rank0.irpa
--parameters=model=llama3.1_405b_fp16_tp8_parameters.rank1.irpa
--parameters=model=llama3.1_405b_fp16_tp8_parameters.rank2.irpa
--parameters=model=llama3.1_405b_fp16_tp8_parameters.rank3.irpa
--parameters=model=llama3.1_405b_fp16_tp8_parameters.rank4.irpa
--parameters=model=llama3.1_405b_fp16_tp8_parameters.rank5.irpa
--parameters=model=llama3.1_405b_fp16_tp8_parameters.rank6.irpa
--parameters=model=llama3.1_405b_fp16_tp8_parameters.rank7.irpa
--device=hip://0 --device=hip://1 --device=hip://2 --device=hip://3
--device=hip://4 --device=hip://5 --device=hip://6 --device=hip://7
--function=prefill_bs4 --input=@weights/405b/prefill_args_bs4_128/random_tokens.npy
--input=@prefill_args_bs4_128/seq_lens.npy
--input=@prefill_args_bs4_128/seq_block_ids.npy
--input=@prefill_args_bs4_128/cs_f16_shard_0.npy
--input=@prefill_args_bs4_128/cs_f16_shard_1.npy
--input=@prefill_args_bs4_128/cs_f16_shard_2.npy
--input=@prefill_args_bs4_128/cs_f16_shard_3.npy
--input=@prefill_args_bs4_128/cs_f16_shard_4.npy
--input=@prefill_args_bs4_128/cs_f16_shard_5.npy
--input=@prefill_args_bs4_128/cs_f16_shard_6.npy
--input=@prefill_args_bs4_128/cs_f16_shard_7.npy
prefill_args_bs4_128.zip
What component(s) does this issue relate to?
Compiler, Runtime
Version information
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Additional context
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The text was updated successfully, but these errors were encountered: