Open TimeOnCloud opened 1 year ago
我这边测试的时候,按道理来说应该比一些融合方法慢,但是大约10807003左右大小的图像融合,需要耗时1秒左右,应该不会出现这么久的叭,使用的是titan RTX显存24G版本的
xinyuxiang @.***
安徽大学 学生
------------------ 原始邮件 ------------------ 发件人: "Xinyu-Xiang/DIVFusion" @.>; 发送时间: 2023年2月17日(星期五) 下午5:41 @.>; @.***>; 主题: [Xinyu-Xiang/DIVFusion] 请问一张720P的图推理需要20多秒是否正常速度? (Issue #1)
如标题所示,我在相同的环境配置下使用3080卡,运行test.py时,融合速度是一张20多秒,请问是否为正常速度?
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you are subscribed to this thread.Message ID: @.***>
请问一下您那边的显存大概多少呢?如果显存不足的话可能跑起来会慢一些,当然也有可能是没有加载到显存上,直接用CPU跑的话,速度确实会打折扣的
xinyuxiang @.***
安徽大学 学生
------------------ 原始邮件 ------------------ 发件人: "Xinyu-Xiang/DIVFusion" @.>; 发送时间: 2023年2月17日(星期五) 下午5:41 @.>; @.***>; 主题: [Xinyu-Xiang/DIVFusion] 请问一张720P的图推理需要20多秒是否正常速度? (Issue #1)
如标题所示,我在相同的环境配置下使用3080卡,运行test.py时,融合速度是一张20多秒,请问是否为正常速度?
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you are subscribed to this thread.Message ID: @.***>
我重新看了下显存的占用情况,只用到了200多M,显存是10018MiB,跑的时候CPU满了,那应该是正如你所说的,没成功加载到显卡上运行
嗯嗯嗯,好滴好滴,应该之后成功加载到显卡上就能解决速度慢的问题了的
xinyuxiang @.***
安徽大学 学生
------------------ 原始邮件 ------------------ 发件人: "Xinyu-Xiang/DIVFusion" @.>; 发送时间: 2023年2月17日(星期五) 晚上6:19 @.>; @.**@.>; 主题: Re: [Xinyu-Xiang/DIVFusion] 请问一张720P的图推理需要20多秒是否正常速度? (Issue #1)
我重新看了下显存的占用情况,只用到了200多M,显存是10018MiB,跑的时候CPU满了,那应该是正如你所说的,没成功加载到显卡上运行
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.***>
作者您好,我在跑您写的PIAFusion的时候也遇到了同样的问题,训练时全都使用cpu在跑,没能调用显卡,不知道该怎么解决
如标题所示,我使用3080卡,运行test.py时,融合720P图片速度是一张20多秒,480P的是8秒左右,请问是否为正常速度?
环境除python版本是3.6.9外,其它一致
以下是融合640-480P图的运行情况: (wl) tc@tc-Super-Server:/home/wl/DIVFusion-main$ CUDA_VISIBLE_DEVICES=0 python test.py /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) WARNING:tensorflow:From test.py:191: The name tf.train.NewCheckpointReader is deprecated. Please use tf.compat.v1.train.NewCheckpointReader instead.
WARNING:tensorflow:From test.py:533: The name tf.InteractiveSession is deprecated. Please use tf.compat.v1.InteractiveSession instead.
2023-02-17 17:43:42.885650: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2023-02-17 17:43:42.889101: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1 2023-02-17 17:43:42.972511: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2023-02-17 17:43:42.972871: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x556513477f40 executing computations on platform CUDA. Devices: 2023-02-17 17:43:42.972883: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): NVIDIA GeForce RTX 3080, Compute Capability 8.6 2023-02-17 17:43:42.974427: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3099995000 Hz 2023-02-17 17:43:42.974723: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x556510d72490 executing computations on platform Host. Devices: 2023-02-17 17:43:42.974734: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0):,
2023-02-17 17:43:42.974824: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-02-17 17:43:42.975163: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
name: NVIDIA GeForce RTX 3080 major: 8 minor: 6 memoryClockRate(GHz): 1.71
pciBusID: 0000:01:00.0
2023-02-17 17:43:42.975231: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/cv2/../../lib:
2023-02-17 17:43:42.975271: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/cv2/../../lib:
2023-02-17 17:43:42.975305: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcufft.so.10.0'; dlerror: libcufft.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/cv2/../../lib:
2023-02-17 17:43:42.975343: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcurand.so.10.0'; dlerror: libcurand.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/cv2/../../lib:
2023-02-17 17:43:42.975375: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcusolver.so.10.0'; dlerror: libcusolver.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/cv2/../../lib:
2023-02-17 17:43:42.975411: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcusparse.so.10.0'; dlerror: libcusparse.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/cv2/../../lib:
2023-02-17 17:43:42.975443: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/tc/anaconda3/envs/wl/lib/python3.6/site-packages/cv2/../../lib:
2023-02-17 17:43:42.975467: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1663] Cannot dlopen some GPU libraries. Skipping registering GPU devices...
2023-02-17 17:43:42.975478: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2023-02-17 17:43:42.975483: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187] 0
2023-02-17 17:43:42.975488: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0: N
WARNING:tensorflow:From test.py:534: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
WARNING:tensorflow:From test.py:546: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.
WARNING:tensorflow:From test.py:198: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.
WARNING:tensorflow: The TensorFlow contrib module will not be included in TensorFlow 2.0. For more information, please see:
WARNING:tensorflow:From test.py:66: div (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Deprecated in favor of operator or tf.math.divide. WARNING:tensorflow:From test.py:564: The name tf.global_variables_initializer is deprecated. Please use tf.compat.v1.global_variables_initializer instead.
2023-02-17 17:43:43.764500: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile. [*] Initialize model successfully... Testing [0] success,Testing time is [8.578033] Testing [1] success,Testing time is [17.136145]