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https://git.datalinker.icu/vllm-project/vllm.git
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updated
Signed-off-by: Robert Shaw <robshaw@redhat.com>
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@ -2,6 +2,7 @@
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from typing import Optional
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import os
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import time
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import pplx_kernels as pplx
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import torch
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@ -210,7 +211,8 @@ class PplxPrepareAndFinalize(mk.FusedMoEPrepareAndFinalize):
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bound_m=bound_m,
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)
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end = time.perf_counter()
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logger.info("dispatch took %.3f ms", (end - start) * 1000)
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if os.getenv("LOG_TIME") == "1":
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logger.info("dispatch took %.3f ms", (end - start) * 1000)
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if expert_x_scale is not None:
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expert_x_scale = expert_x_scale[:, :, :orig_a_scale_block_shape]
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@ -259,4 +261,5 @@ class PplxPrepareAndFinalize(mk.FusedMoEPrepareAndFinalize):
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expert_y=fused_expert_output,
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bound_m=bound_m)
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end = time.perf_counter()
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logger.info("combine took %.3f ms", (end - start) * 1000)
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if os.getenv("LOG_TIME") == "1":
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logger.info("combine took %.3f ms", (end - start) * 1000)
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@ -946,7 +946,6 @@ class DPEngineCoreProc(EngineCoreProc):
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# We are in a running state and so must execute a dummy pass
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# if the model didn't execute any ready requests.
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logger.info("Executing dummy batch for wave %d.", self.current_wave)
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self.execute_dummy_batch()
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# 3) All-reduce operation to determine global unfinished reqs.
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