diff --git a/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/.gitignore b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..26d33521af10bcc7fd8cea344038eaaeb78d0ef5 --- /dev/null +++ b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/.gitignore @@ -0,0 +1,3 @@ +# Default ignored files +/shelf/ +/workspace.xml diff --git a/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/UNet3D_ID0057_for_TensorFlow.iml b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/UNet3D_ID0057_for_TensorFlow.iml new file mode 100644 index 0000000000000000000000000000000000000000..74d515a027de98657e9d3d5f0f1831882fd81374 --- /dev/null +++ b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/UNet3D_ID0057_for_TensorFlow.iml @@ -0,0 +1,10 @@ + + + + + + + + + + \ No newline at end of file diff --git a/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/inspectionProfiles/profiles_settings.xml b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/inspectionProfiles/profiles_settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..105ce2da2d6447d11dfe32bfb846c3d5b199fc99 --- /dev/null +++ b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/inspectionProfiles/profiles_settings.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/misc.xml b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/misc.xml new file mode 100644 index 0000000000000000000000000000000000000000..8f96b3a470200641e15c91e0af8f8b13f4cffdab --- /dev/null +++ b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/misc.xml @@ -0,0 +1,4 @@ + + + + \ No newline at end of file diff --git a/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/modules.xml b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/modules.xml new file mode 100644 index 0000000000000000000000000000000000000000..6278e34fbd6f09059b5ce15b60d7220357a5ca54 --- /dev/null +++ b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/dataset/data_loader.py b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/dataset/data_loader.py index e67a10038cdfccff62fe4d0c34d3173e960f43bd..76127b4f39098b28e2339d34e8696f91334848a7 100644 --- a/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/dataset/data_loader.py +++ b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/dataset/data_loader.py @@ -115,7 +115,7 @@ class Dataset: ds = ds.cache() ds = ds.shuffle(buffer_size=self._batch_size * 8, seed=self._seed) ds = ds.repeat() - + ds = ds.prefetch(buffer_size=tf.data.experimental.AUTOTUNE) ds = ds.map(self.parse, num_parallel_calls=256) transforms = [ @@ -133,8 +133,9 @@ class Dataset: ds = ds.batch(batch_size=self._batch_size, drop_remainder=True) - ds = ds.prefetch(buffer_size=tf.data.experimental.AUTOTUNE) - ds = threadpool.override_threadpool(ds,threadpool.PrivateThreadPool(128,display_name='input_pipeline_thread_pool')) + # ds = ds.prefetch(buffer_size=tf.data.experimental.AUTOTUNE) + if int(os.getenv("RANK_SIZE"))==1: + ds = threadpool.override_threadpool(ds,threadpool.PrivateThreadPool(128,display_name='input_pipeline_thread_pool')) return ds diff --git a/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/test/set_ranktable.py b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/test/set_ranktable.py new file mode 100644 index 0000000000000000000000000000000000000000..641b0b8b5157989ca002a150c68fb418075a7b51 --- /dev/null +++ b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/test/set_ranktable.py @@ -0,0 +1,1733 @@ +import argparse +parser = argparse.ArgumentParser() +parser.add_argument('-n', '--npu_nums', type=int, default='2', help='nums of npu') +parser.add_argument('-c', '--conf_path', type=str, default='./', help='the path of server_info') +FLAGS = parser.parse_args() + +import json +import os +server = [] +server_conf = [] +server_list = ["0", "1", "2", "3", "4", "5", "6", "7"] +if os.path.isdir(FLAGS.conf_path): + for f in os.listdir(FLAGS.conf_path): + if (f.split("_")[-1]).split(".")[0] in server_list and (f.split("_")[-1]).split(".")[1] == 'info' and f.split("_")[0] == 'server': + server_conf.append(f) + + + + + + +rank_address = [] +for i in range(FLAGS.npu_nums): + for x in server_conf: + if (x.split("_")[-1]).split(".")[0] == str(i): + server.append(x.split("_")[1]) + l = FLAGS.conf_path + "/" + x + with open(l, "r") as a: + s = a.readlines() + for s_ in s: + if 'address_0' in s_: + rank_address.append(s_.split("=")[-1][:-1]) + for s_ in s: + if 'address_1' in s_: + rank_address.append(s_.split("=")[-1][:-1]) + for s_ in s: + if 'address_2' in s_: + rank_address.append(s_.split("=")[-1][:-1]) + for s_ in s: + if 'address_3' in s_: + rank_address.append(s_.split("=")[-1][:-1]) + for s_ in s: + if 'address_4' in s_: + rank_address.append(s_.split("=")[-1][:-1]) + for s_ in s: + if 'address_5' in s_: + rank_address.append(s_.split("=")[-1][:-1]) + for s_ in s: + if 'address_6' in s_: + rank_address.append(s_.split("=")[-1][:-1]) + for s_ in s: + if 'address_7' in s_: + rank_address.append(s_.split("=")[-1][:-1]) + +if FLAGS.npu_nums == 1: + rank = { + "server_count":"1", + "server_list":[ + { + "server_id":server[0], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[0], + "rank_id":"0" + }, + { + "device_id":"1", + "device_ip":rank_address[1], + "rank_id":"1" + }, + { + "device_id":"2", + "device_ip":rank_address[2], + "rank_id":"2" + }, + { + "device_id":"3", + "device_ip":rank_address[3], + "rank_id":"3" + }, + { + "device_id":"4", + "device_ip":rank_address[4], + "rank_id":"4" + }, + { + "device_id":"5", + "device_ip":rank_address[5], + "rank_id":"5" + }, + { + "device_id":"6", + "device_ip":rank_address[6], + "rank_id":"6" + }, + { + "device_id":"7", + "device_ip":rank_address[7], + "rank_id":"7" + } + ]}], + "status":"completed", + "version":"1.0" + } +elif FLAGS.npu_nums == 2: + rank = { + "server_count":"2", + "server_list":[ + { + "server_id":server[0], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[0], + "rank_id":"0" + }, + { + "device_id":"1", + "device_ip":rank_address[1], + "rank_id":"1" + }, + { + "device_id":"2", + "device_ip":rank_address[2], + "rank_id":"2" + }, + { + "device_id":"3", + "device_ip":rank_address[3], + "rank_id":"3" + }, + { + "device_id":"4", + "device_ip":rank_address[4], + "rank_id":"4" + }, + { + "device_id":"5", + "device_ip":rank_address[5], + "rank_id":"5" + }, + { + "device_id":"6", + "device_ip":rank_address[6], + "rank_id":"6" + }, + { + "device_id":"7", + "device_ip":rank_address[7], + "rank_id":"7" + } + ]}, + + + { + "server_id":server[1], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[8], + "rank_id":"8" + }, + { + "device_id":"1", + "device_ip":rank_address[9], + "rank_id":"9" + }, + { + "device_id":"2", + "device_ip":rank_address[10], + "rank_id":"10" + }, + { + "device_id":"3", + "device_ip":rank_address[11], + "rank_id":"11" + }, + { + "device_id":"4", + "device_ip":rank_address[12], + "rank_id":"12" + }, + { + "device_id":"5", + "device_ip":rank_address[13], + "rank_id":"13" + }, + { + "device_id":"6", + "device_ip":rank_address[14], + "rank_id":"14" + }, + { + "device_id":"7", + "device_ip":rank_address[15], + "rank_id":"15" + } + ]} + ], + + "status":"completed", + "version":"1.0" + } + + +elif FLAGS.npu_nums == 3: + rank = { + "server_count":"3", + "server_list":[ + { + "server_id":server[0], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[0], + "rank_id":"0" + }, + { + "device_id":"1", + "device_ip":rank_address[1], + "rank_id":"1" + }, + { + "device_id":"2", + "device_ip":rank_address[2], + "rank_id":"2" + }, + { + "device_id":"3", + "device_ip":rank_address[3], + "rank_id":"3" + }, + { + "device_id":"4", + "device_ip":rank_address[4], + "rank_id":"4" + }, + { + "device_id":"5", + "device_ip":rank_address[5], + "rank_id":"5" + }, + { + "device_id":"6", + "device_ip":rank_address[6], + "rank_id":"6" + }, + { + "device_id":"7", + "device_ip":rank_address[7], + "rank_id":"7" + } + ]}, + + + { + "server_id":server[1], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[8], + "rank_id":"8" + }, + { + "device_id":"1", + "device_ip":rank_address[9], + "rank_id":"9" + }, + { + "device_id":"2", + "device_ip":rank_address[10], + "rank_id":"10" + }, + { + "device_id":"3", + "device_ip":rank_address[11], + "rank_id":"11" + }, + { + "device_id":"4", + "device_ip":rank_address[12], + "rank_id":"12" + }, + { + "device_id":"5", + "device_ip":rank_address[13], + "rank_id":"13" + }, + { + "device_id":"6", + "device_ip":rank_address[14], + "rank_id":"14" + }, + { + "device_id":"7", + "device_ip":rank_address[15], + "rank_id":"15" + } + ]}, + + { + "server_id":server[2], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[16], + "rank_id":"16" + }, + { + "device_id":"1", + "device_ip":rank_address[17], + "rank_id":"17" + }, + { + "device_id":"2", + "device_ip":rank_address[18], + "rank_id":"18" + }, + { + "device_id":"3", + "device_ip":rank_address[19], + "rank_id":"19" + }, + { + "device_id":"4", + "device_ip":rank_address[20], + "rank_id":"20" + }, + { + "device_id":"5", + "device_ip":rank_address[21], + "rank_id":"21" + }, + { + "device_id":"6", + "device_ip":rank_address[22], + "rank_id":"22" + }, + { + "device_id":"7", + "device_ip":rank_address[23], + "rank_id":"23" + } + ]} + ], + "status":"completed", + "version":"1.0" + } +elif FLAGS.npu_nums == 4: + rank = { + "server_count":"4", + "server_list":[ + { + "server_id":server[0], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[0], + "rank_id":"0" + }, + { + "device_id":"1", + "device_ip":rank_address[1], + "rank_id":"1" + }, + { + "device_id":"2", + "device_ip":rank_address[2], + "rank_id":"2" + }, + { + "device_id":"3", + "device_ip":rank_address[3], + "rank_id":"3" + }, + { + "device_id":"4", + "device_ip":rank_address[4], + "rank_id":"4" + }, + { + "device_id":"5", + "device_ip":rank_address[5], + "rank_id":"5" + }, + { + "device_id":"6", + "device_ip":rank_address[6], + "rank_id":"6" + }, + { + "device_id":"7", + "device_ip":rank_address[7], + "rank_id":"7" + } + ]}, + + + { + "server_id":server[1], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[8], + "rank_id":"8" + }, + { + "device_id":"1", + "device_ip":rank_address[9], + "rank_id":"9" + }, + { + "device_id":"2", + "device_ip":rank_address[10], + "rank_id":"10" + }, + { + "device_id":"3", + "device_ip":rank_address[11], + "rank_id":"11" + }, + { + "device_id":"4", + "device_ip":rank_address[12], + "rank_id":"12" + }, + { + "device_id":"5", + "device_ip":rank_address[13], + "rank_id":"13" + }, + { + "device_id":"6", + "device_ip":rank_address[14], + "rank_id":"14" + }, + { + "device_id":"7", + "device_ip":rank_address[15], + "rank_id":"15" + } + ]}, + { + "server_id":server[2], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[16], + "rank_id":"16" + }, + { + "device_id":"1", + "device_ip":rank_address[17], + "rank_id":"17" + }, + { + "device_id":"2", + "device_ip":rank_address[18], + "rank_id":"18" + }, + { + "device_id":"3", + "device_ip":rank_address[19], + "rank_id":"19" + }, + { + "device_id":"4", + "device_ip":rank_address[20], + "rank_id":"20" + }, + { + "device_id":"5", + "device_ip":rank_address[21], + "rank_id":"21" + }, + { + "device_id":"6", + "device_ip":rank_address[22], + "rank_id":"22" + }, + { + "device_id":"7", + "device_ip":rank_address[23], + "rank_id":"23" + } + ]}, + { + "server_id":server[3], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[24], + "rank_id":"24" + }, + { + "device_id":"1", + "device_ip":rank_address[25], + "rank_id":"25" + }, + { + "device_id":"2", + "device_ip":rank_address[26], + "rank_id":"26" + }, + { + "device_id":"3", + "device_ip":rank_address[27], + "rank_id":"27" + }, + { + "device_id":"4", + "device_ip":rank_address[28], + "rank_id":"28" + }, + { + "device_id":"5", + "device_ip":rank_address[29], + "rank_id":"29" + }, + { + "device_id":"6", + "device_ip":rank_address[30], + "rank_id":"30" + }, + { + "device_id":"7", + "device_ip":rank_address[31], + "rank_id":"31" + } + ]} + ], + "status":"completed", + "version":"1.0" + } +elif FLAGS.npu_nums == 5: + rank = { + "server_count":"5", + "server_list":[ + { + "server_id":server[0], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[0], + "rank_id":"0" + }, + { + "device_id":"1", + "device_ip":rank_address[1], + "rank_id":"1" + }, + { + "device_id":"2", + "device_ip":rank_address[2], + "rank_id":"2" + }, + { + "device_id":"3", + "device_ip":rank_address[3], + "rank_id":"3" + }, + { + "device_id":"4", + "device_ip":rank_address[4], + "rank_id":"4" + }, + { + "device_id":"5", + "device_ip":rank_address[5], + "rank_id":"5" + }, + { + "device_id":"6", + "device_ip":rank_address[6], + "rank_id":"6" + }, + { + "device_id":"7", + "device_ip":rank_address[7], + "rank_id":"7" + } + ]}, + + + { + "server_id":server[1], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[8], + "rank_id":"8" + }, + { + "device_id":"1", + "device_ip":rank_address[9], + "rank_id":"9" + }, + { + "device_id":"2", + "device_ip":rank_address[10], + "rank_id":"10" + }, + { + "device_id":"3", + "device_ip":rank_address[11], + "rank_id":"11" + }, + { + "device_id":"4", + "device_ip":rank_address[12], + "rank_id":"12" + }, + { + "device_id":"5", + "device_ip":rank_address[13], + "rank_id":"13" + }, + { + "device_id":"6", + "device_ip":rank_address[14], + "rank_id":"14" + }, + { + "device_id":"7", + "device_ip":rank_address[15], + "rank_id":"15" + } + ]}, + { + "server_id":server[2], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[16], + "rank_id":"16" + }, + { + "device_id":"1", + "device_ip":rank_address[17], + "rank_id":"17" + }, + { + "device_id":"2", + "device_ip":rank_address[18], + "rank_id":"18" + }, + { + "device_id":"3", + "device_ip":rank_address[19], + "rank_id":"19" + }, + { + "device_id":"4", + "device_ip":rank_address[20], + "rank_id":"20" + }, + { + "device_id":"5", + "device_ip":rank_address[21], + "rank_id":"21" + }, + { + "device_id":"6", + "device_ip":rank_address[22], + "rank_id":"22" + }, + { + "device_id":"7", + "device_ip":rank_address[23], + "rank_id":"23" + } + ]}, + { + "server_id":server[3], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[24], + "rank_id":"24" + }, + { + "device_id":"1", + "device_ip":rank_address[25], + "rank_id":"25" + }, + { + "device_id":"2", + "device_ip":rank_address[26], + "rank_id":"26" + }, + { + "device_id":"3", + "device_ip":rank_address[27], + "rank_id":"27" + }, + { + "device_id":"4", + "device_ip":rank_address[28], + "rank_id":"28" + }, + { + "device_id":"5", + "device_ip":rank_address[29], + "rank_id":"29" + }, + { + "device_id":"6", + "device_ip":rank_address[30], + "rank_id":"30" + }, + { + "device_id":"7", + "device_ip":rank_address[31], + "rank_id":"31" + } + ]}, + { + "server_id":server[4], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[32], + "rank_id":"32" + }, + { + "device_id":"1", + "device_ip":rank_address[33], + "rank_id":"33" + }, + { + "device_id":"2", + "device_ip":rank_address[34], + "rank_id":"34" + }, + { + "device_id":"3", + "device_ip":rank_address[35], + "rank_id":"35" + }, + { + "device_id":"4", + "device_ip":rank_address[36], + "rank_id":"36" + }, + { + "device_id":"5", + "device_ip":rank_address[37], + "rank_id":"37" + }, + { + "device_id":"6", + "device_ip":rank_address[38], + "rank_id":"38" + }, + { + "device_id":"7", + "device_ip":rank_address[39], + "rank_id":"39" + } + ]} + ], + "status":"completed", + "version":"1.0" + } + + + +elif FLAGS.npu_nums == 6: + rank = { + "server_count":"6", + "server_list":[ + { + "server_id":server[0], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[0], + "rank_id":"0" + }, + { + "device_id":"1", + "device_ip":rank_address[1], + "rank_id":"1" + }, + { + "device_id":"2", + "device_ip":rank_address[2], + "rank_id":"2" + }, + { + "device_id":"3", + "device_ip":rank_address[3], + "rank_id":"3" + }, + { + "device_id":"4", + "device_ip":rank_address[4], + "rank_id":"4" + }, + { + "device_id":"5", + "device_ip":rank_address[5], + "rank_id":"5" + }, + { + "device_id":"6", + "device_ip":rank_address[6], + "rank_id":"6" + }, + { + "device_id":"7", + "device_ip":rank_address[7], + "rank_id":"7" + } + ]}, + + + { + "server_id":server[1], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[8], + "rank_id":"8" + }, + { + "device_id":"1", + "device_ip":rank_address[9], + "rank_id":"9" + }, + { + "device_id":"2", + "device_ip":rank_address[10], + "rank_id":"10" + }, + { + "device_id":"3", + "device_ip":rank_address[11], + "rank_id":"11" + }, + { + "device_id":"4", + "device_ip":rank_address[12], + "rank_id":"12" + }, + { + "device_id":"5", + "device_ip":rank_address[13], + "rank_id":"13" + }, + { + "device_id":"6", + "device_ip":rank_address[14], + "rank_id":"14" + }, + { + "device_id":"7", + "device_ip":rank_address[15], + "rank_id":"15" + } + ]}, + { + "server_id":server[2], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[16], + "rank_id":"16" + }, + { + "device_id":"1", + "device_ip":rank_address[17], + "rank_id":"17" + }, + { + "device_id":"2", + "device_ip":rank_address[18], + "rank_id":"18" + }, + { + "device_id":"3", + "device_ip":rank_address[19], + "rank_id":"19" + }, + { + "device_id":"4", + "device_ip":rank_address[20], + "rank_id":"20" + }, + { + "device_id":"5", + "device_ip":rank_address[21], + "rank_id":"21" + }, + { + "device_id":"6", + "device_ip":rank_address[22], + "rank_id":"22" + }, + { + "device_id":"7", + "device_ip":rank_address[23], + "rank_id":"23" + } + ]}, + { + "server_id":server[3], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[24], + "rank_id":"24" + }, + { + "device_id":"1", + "device_ip":rank_address[25], + "rank_id":"25" + }, + { + "device_id":"2", + "device_ip":rank_address[26], + "rank_id":"26" + }, + { + "device_id":"3", + "device_ip":rank_address[27], + "rank_id":"27" + }, + { + "device_id":"4", + "device_ip":rank_address[28], + "rank_id":"28" + }, + { + "device_id":"5", + "device_ip":rank_address[29], + "rank_id":"29" + }, + { + "device_id":"6", + "device_ip":rank_address[30], + "rank_id":"30" + }, + { + "device_id":"7", + "device_ip":rank_address[31], + "rank_id":"31" + } + ]}, + { + "server_id":server[4], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[32], + "rank_id":"32" + }, + { + "device_id":"1", + "device_ip":rank_address[33], + "rank_id":"33" + }, + { + "device_id":"2", + "device_ip":rank_address[34], + "rank_id":"34" + }, + { + "device_id":"3", + "device_ip":rank_address[35], + "rank_id":"35" + }, + { + "device_id":"4", + "device_ip":rank_address[36], + "rank_id":"36" + }, + { + "device_id":"5", + "device_ip":rank_address[37], + "rank_id":"37" + }, + { + "device_id":"6", + "device_ip":rank_address[38], + "rank_id":"38" + }, + { + "device_id":"7", + "device_ip":rank_address[39], + "rank_id":"39" + } + ]}, + { + "server_id":server[5], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[40], + "rank_id":"40" + }, + { + "device_id":"1", + "device_ip":rank_address[41], + "rank_id":"41" + }, + { + "device_id":"2", + "device_ip":rank_address[42], + "rank_id":"42" + }, + { + "device_id":"3", + "device_ip":rank_address[43], + "rank_id":"43" + }, + { + "device_id":"4", + "device_ip":rank_address[44], + "rank_id":"44" + }, + { + "device_id":"5", + "device_ip":rank_address[45], + "rank_id":"45" + }, + { + "device_id":"6", + "device_ip":rank_address[46], + "rank_id":"46" + }, + { + "device_id":"7", + "device_ip":rank_address[47], + "rank_id":"47" + } + ]} + ], + "status":"completed", + "version":"1.0" + } + + +elif FLAGS.npu_nums == 7: + rank = { + "server_count":"7", + "server_list":[ + { + "server_id":server[0], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[0], + "rank_id":"0" + }, + { + "device_id":"1", + "device_ip":rank_address[1], + "rank_id":"1" + }, + { + "device_id":"2", + "device_ip":rank_address[2], + "rank_id":"2" + }, + { + "device_id":"3", + "device_ip":rank_address[3], + "rank_id":"3" + }, + { + "device_id":"4", + "device_ip":rank_address[4], + "rank_id":"4" + }, + { + "device_id":"5", + "device_ip":rank_address[5], + "rank_id":"5" + }, + { + "device_id":"6", + "device_ip":rank_address[6], + "rank_id":"6" + }, + { + "device_id":"7", + "device_ip":rank_address[7], + "rank_id":"7" + } + ]}, + + + { + "server_id":server[1], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[8], + "rank_id":"8" + }, + { + "device_id":"1", + "device_ip":rank_address[9], + "rank_id":"9" + }, + { + "device_id":"2", + "device_ip":rank_address[10], + "rank_id":"10" + }, + { + "device_id":"3", + "device_ip":rank_address[11], + "rank_id":"11" + }, + { + "device_id":"4", + "device_ip":rank_address[12], + "rank_id":"12" + }, + { + "device_id":"5", + "device_ip":rank_address[13], + "rank_id":"13" + }, + { + "device_id":"6", + "device_ip":rank_address[14], + "rank_id":"14" + }, + { + "device_id":"7", + "device_ip":rank_address[15], + "rank_id":"15" + } + ]}, + { + "server_id":server[2], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[16], + "rank_id":"16" + }, + { + "device_id":"1", + "device_ip":rank_address[17], + "rank_id":"17" + }, + { + "device_id":"2", + "device_ip":rank_address[18], + "rank_id":"18" + }, + { + "device_id":"3", + "device_ip":rank_address[19], + "rank_id":"19" + }, + { + "device_id":"4", + "device_ip":rank_address[20], + "rank_id":"20" + }, + { + "device_id":"5", + "device_ip":rank_address[21], + "rank_id":"21" + }, + { + "device_id":"6", + "device_ip":rank_address[22], + "rank_id":"22" + }, + { + "device_id":"7", + "device_ip":rank_address[23], + "rank_id":"23" + } + ]}, + { + "server_id":server[3], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[24], + "rank_id":"24" + }, + { + "device_id":"1", + "device_ip":rank_address[25], + "rank_id":"25" + }, + { + "device_id":"2", + "device_ip":rank_address[26], + "rank_id":"26" + }, + { + "device_id":"3", + "device_ip":rank_address[27], + "rank_id":"27" + }, + { + "device_id":"4", + "device_ip":rank_address[28], + "rank_id":"28" + }, + { + "device_id":"5", + "device_ip":rank_address[29], + "rank_id":"29" + }, + { + "device_id":"6", + "device_ip":rank_address[30], + "rank_id":"30" + }, + { + "device_id":"7", + "device_ip":rank_address[31], + "rank_id":"31" + } + ]}, + { + "server_id":server[4], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[32], + "rank_id":"32" + }, + { + "device_id":"1", + "device_ip":rank_address[33], + "rank_id":"33" + }, + { + "device_id":"2", + "device_ip":rank_address[34], + "rank_id":"34" + }, + { + "device_id":"3", + "device_ip":rank_address[35], + "rank_id":"35" + }, + { + "device_id":"4", + "device_ip":rank_address[36], + "rank_id":"36" + }, + { + "device_id":"5", + "device_ip":rank_address[37], + "rank_id":"37" + }, + { + "device_id":"6", + "device_ip":rank_address[38], + "rank_id":"38" + }, + { + "device_id":"7", + "device_ip":rank_address[39], + "rank_id":"39" + } + ]}, + { + "server_id":server[5], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[40], + "rank_id":"40" + }, + { + "device_id":"1", + "device_ip":rank_address[41], + "rank_id":"41" + }, + { + "device_id":"2", + "device_ip":rank_address[42], + "rank_id":"42" + }, + { + "device_id":"3", + "device_ip":rank_address[43], + "rank_id":"43" + }, + { + "device_id":"4", + "device_ip":rank_address[44], + "rank_id":"44" + }, + { + "device_id":"5", + "device_ip":rank_address[45], + "rank_id":"45" + }, + { + "device_id":"6", + "device_ip":rank_address[46], + "rank_id":"46" + }, + { + "device_id":"7", + "device_ip":rank_address[47], + "rank_id":"47" + } + ]}, + { + "server_id":server[6], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[48], + "rank_id":"48" + }, + { + "device_id":"1", + "device_ip":rank_address[49], + "rank_id":"49" + }, + { + "device_id":"2", + "device_ip":rank_address[50], + "rank_id":"50" + }, + { + "device_id":"3", + "device_ip":rank_address[51], + "rank_id":"51" + }, + { + "device_id":"4", + "device_ip":rank_address[52], + "rank_id":"52" + }, + { + "device_id":"5", + "device_ip":rank_address[53], + "rank_id":"53" + }, + { + "device_id":"6", + "device_ip":rank_address[54], + "rank_id":"54" + }, + { + "device_id":"7", + "device_ip":rank_address[55], + "rank_id":"55" + } + ]} + ], + "status":"completed", + "version":"1.0" + } + + + + +elif FLAGS.npu_nums == 8: + rank = { + "server_count":"8", + "server_list":[ + { + "server_id":server[0], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[0], + "rank_id":"0" + }, + { + "device_id":"1", + "device_ip":rank_address[1], + "rank_id":"1" + }, + { + "device_id":"2", + "device_ip":rank_address[2], + "rank_id":"2" + }, + { + "device_id":"3", + "device_ip":rank_address[3], + "rank_id":"3" + }, + { + "device_id":"4", + "device_ip":rank_address[4], + "rank_id":"4" + }, + { + "device_id":"5", + "device_ip":rank_address[5], + "rank_id":"5" + }, + { + "device_id":"6", + "device_ip":rank_address[6], + "rank_id":"6" + }, + { + "device_id":"7", + "device_ip":rank_address[7], + "rank_id":"7" + } + ]}, + + + { + "server_id":server[1], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[8], + "rank_id":"8" + }, + { + "device_id":"1", + "device_ip":rank_address[9], + "rank_id":"9" + }, + { + "device_id":"2", + "device_ip":rank_address[10], + "rank_id":"10" + }, + { + "device_id":"3", + "device_ip":rank_address[11], + "rank_id":"11" + }, + { + "device_id":"4", + "device_ip":rank_address[12], + "rank_id":"12" + }, + { + "device_id":"5", + "device_ip":rank_address[13], + "rank_id":"13" + }, + { + "device_id":"6", + "device_ip":rank_address[14], + "rank_id":"14" + }, + { + "device_id":"7", + "device_ip":rank_address[15], + "rank_id":"15" + } + ]}, + { + "server_id":server[2], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[16], + "rank_id":"16" + }, + { + "device_id":"1", + "device_ip":rank_address[17], + "rank_id":"17" + }, + { + "device_id":"2", + "device_ip":rank_address[18], + "rank_id":"18" + }, + { + "device_id":"3", + "device_ip":rank_address[19], + "rank_id":"19" + }, + { + "device_id":"4", + "device_ip":rank_address[20], + "rank_id":"20" + }, + { + "device_id":"5", + "device_ip":rank_address[21], + "rank_id":"21" + }, + { + "device_id":"6", + "device_ip":rank_address[22], + "rank_id":"22" + }, + { + "device_id":"7", + "device_ip":rank_address[23], + "rank_id":"23" + } + ]}, + { + "server_id":server[3], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[24], + "rank_id":"24" + }, + { + "device_id":"1", + "device_ip":rank_address[25], + "rank_id":"25" + }, + { + "device_id":"2", + "device_ip":rank_address[26], + "rank_id":"26" + }, + { + "device_id":"3", + "device_ip":rank_address[27], + "rank_id":"27" + }, + { + "device_id":"4", + "device_ip":rank_address[28], + "rank_id":"28" + }, + { + "device_id":"5", + "device_ip":rank_address[29], + "rank_id":"29" + }, + { + "device_id":"6", + "device_ip":rank_address[30], + "rank_id":"30" + }, + { + "device_id":"7", + "device_ip":rank_address[31], + "rank_id":"31" + } + ]}, + { + "server_id":server[4], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[32], + "rank_id":"32" + }, + { + "device_id":"1", + "device_ip":rank_address[33], + "rank_id":"33" + }, + { + "device_id":"2", + "device_ip":rank_address[34], + "rank_id":"34" + }, + { + "device_id":"3", + "device_ip":rank_address[35], + "rank_id":"35" + }, + { + "device_id":"4", + "device_ip":rank_address[36], + "rank_id":"36" + }, + { + "device_id":"5", + "device_ip":rank_address[37], + "rank_id":"37" + }, + { + "device_id":"6", + "device_ip":rank_address[38], + "rank_id":"38" + }, + { + "device_id":"7", + "device_ip":rank_address[39], + "rank_id":"39" + } + ]}, + { + "server_id":server[5], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[40], + "rank_id":"40" + }, + { + "device_id":"1", + "device_ip":rank_address[41], + "rank_id":"41" + }, + { + "device_id":"2", + "device_ip":rank_address[42], + "rank_id":"42" + }, + { + "device_id":"3", + "device_ip":rank_address[43], + "rank_id":"43" + }, + { + "device_id":"4", + "device_ip":rank_address[44], + "rank_id":"44" + }, + { + "device_id":"5", + "device_ip":rank_address[45], + "rank_id":"45" + }, + { + "device_id":"6", + "device_ip":rank_address[46], + "rank_id":"46" + }, + { + "device_id":"7", + "device_ip":rank_address[47], + "rank_id":"47" + } + ]}, + { + "server_id":server[6], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[48], + "rank_id":"48" + }, + { + "device_id":"1", + "device_ip":rank_address[49], + "rank_id":"49" + }, + { + "device_id":"2", + "device_ip":rank_address[50], + "rank_id":"50" + }, + { + "device_id":"3", + "device_ip":rank_address[51], + "rank_id":"51" + }, + { + "device_id":"4", + "device_ip":rank_address[52], + "rank_id":"52" + }, + { + "device_id":"5", + "device_ip":rank_address[53], + "rank_id":"53" + }, + { + "device_id":"6", + "device_ip":rank_address[54], + "rank_id":"54" + }, + { + "device_id":"7", + "device_ip":rank_address[55], + "rank_id":"55" + } + ]}, + { + "server_id":server[7], + "device":[ + { + "device_id":"0", + "device_ip":rank_address[56], + "rank_id":"56" + }, + { + "device_id":"1", + "device_ip":rank_address[57], + "rank_id":"57" + }, + { + "device_id":"2", + "device_ip":rank_address[58], + "rank_id":"58" + }, + { + "device_id":"3", + "device_ip":rank_address[59], + "rank_id":"59" + }, + { + "device_id":"4", + "device_ip":rank_address[60], + "rank_id":"60" + }, + { + "device_id":"5", + "device_ip":rank_address[61], + "rank_id":"61" + }, + { + "device_id":"6", + "device_ip":rank_address[62], + "rank_id":"62" + }, + { + "device_id":"7", + "device_ip":rank_address[63], + "rank_id":"63" + } + ]} + ], + "status":"completed", + "version":"1.0" + } + + +with open('rank_table.json','w') as f: + json.dump(rank,f) + diff --git a/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/test/train_performance_16p.sh b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/test/train_performance_16p.sh new file mode 100644 index 0000000000000000000000000000000000000000..476c36bf26cae87613be36f3ee8c952359854a27 --- /dev/null +++ b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/test/train_performance_16p.sh @@ -0,0 +1,230 @@ +#!/bin/bash +#当前路径,不需要修改 +cur_path=`pwd` +#集合通信参数,不需要修改 +source /usr/local/Ascend/CANN-1.81/bin/setenv.bash + +# 数据集路径,保持为空,不需要修改 +data_path="" + +# 帮助信息，不需要修改 +if [[ $1 == --help || $1 == -h ]];then + echo"usage:./train_performance_1p.sh " + echo " " + echo "parameter explain: + --precision_mode precision mode(allow_fp32_to_fp16/force_fp16/must_keep_origin_dtype/allow_mix_precision) + -h/--help show help message + " + exit 1 +fi + +#参数校验，不需要修改 +for para in $* +do + if [[ $para == --precision_mode* ]];then + precision_mode=`echo ${para#*=}` + elif [[ $para == --over_dump* ]];then + over_dump=`echo ${para#*=}` + over_dump_path=${cur_path}/output/overflow_dump + mkdir -p ${over_dump_path} + elif [[ $para == --data_dump_flag* ]];then + data_dump_flag=`echo ${para#*=}` + data_dump_path=${cur_path}/output/data_dump + mkdir -p ${data_dump_path} + elif [[ $para == --data_dump_step* ]];then + data_dump_step=`echo ${para#*=}` + elif [[ $para == --profiling* ]];then + profiling=`echo ${para#*=}` + profiling_dump_path=${cur_path}/output/profiling + mkdir -p ${profiling_dump_path} + elif [[ $para == --autotune* ]];then + autotune=`echo ${para#*=}` + mv $install_path/fwkacllib/data/rl/Ascend910/custom $install_path/fwkacllib/data/rl/Ascend910/custom_bak + mv $install_path/fwkacllib/data/tiling/Ascend910/custom $install_path/fwkacllib/data/tiling/Ascend910/custom_bak + autotune_dump_path=${cur_path}/output/autotune_dump + mkdir -p ${autotune_dump_path}/GA + mkdir -p ${autotune_dump_path}/rl + cp -rf $install_path/fwkacllib/data/tiling/Ascend910/custom ${autotune_dump_path}/GA/ + cp -rf $install_path/fwkacllib/data/rl/Ascend910/custom ${autotune_dump_path}/RL/ + elif [[ $para == --data_path* ]];then + data_path=`echo ${para#*=}` + elif [[ $para == --bind_core* ]];then + bind_core=`echo ${para#*=}` + name_bind="_bindcore" + elif [[ $para == --server_index* ]];then + server_index=`echo ${para#*=}` + elif [[ $para == --conf_path* ]];then + conf_path=`echo ${para#*=}` + fi +done + + +#export ASCEND_SLOG_PRINT_TO_STDOUT=1 +export RANK_SIZE=16 +export JOB_ID=10087 +rank_size=8 +nohup python3 $cur_path/set_ranktable.py --npu_nums=$((RANK_SIZE/rank_size)) --conf_path=$conf_path +export RANK_TABLE_FILE=$cur_path/rank_table.json +export HCCL_CONNECT_TIMEOUT=600 +RANK_ID_START=0 +RANK_SIZE=16 + +#设置默认日志级别,不需要修改 +#export ASCEND_GLOBAL_LOG_LEVEL_ETP=1 + +#基础参数，需要模型审视修改 +#网络名称，同目录名称 +Network="UNet3D_ID0057_for_TensorFlow" +batch_size=2 +#训练步数 +train_steps=500 #640 + +#维测参数，precision_mode需要模型审视修改 +#precision_mode="allow_mix_precision" +#维持参数，以下不需要修改 +over_dump=False +data_dump_flag=False +data_dump_step="10" +profiling=False +autotune=False + + + +#data_path='../' +#校验是否传入data_path,不需要修改 +if [[ $data_path == "" ]];then + echo "[Error] para \"data_path\" must be confing" + exit 1 +fi + +cd $cur_path/../ + +#训练开始时间，不需要修改 +start_time=$(date +%s) +bind_core=1 +exec_mode='train' +#进入训练脚本目录，需要模型审视修改 +#for((RANK_ID=$RANK_ID_START;RANK_ID<$((RANK_SIZE+RANK_ID_START));RANK_ID++)); +for((RANK_ID=$((rank_size*server_index));RANK_ID<$((((server_index+1))*rank_size));RANK_ID++)); +do + #设置环境变量，不需要修改 + echo "Device ID: $RANK_ID" + export RANK_ID=$RANK_ID + export ASCEND_DEVICE_ID=`expr ${RANK_ID} - $((rank_size*server_index))` + ASCEND_DEVICE_ID=`expr ${RANK_ID} - $((rank_size*server_index))` +# export DEVICE_ID=${ASCEND_DEVICE_ID} +# echo 'DEVICE_ID: '$ASCEND_DEVICE_ID + RANK_ID_core=$RANK_ID + + export DEVICE_ID=$RANK_ID + DEVICE_INDEX=$RANK_ID + export DEVICE_INDEX=${DEVICE_INDEX} + +# #创建DeviceID输出目录，不需要修改 +# if [ -d ${cur_path}/output/${ASCEND_DEVICE_ID} ];then +# rm -rf ${cur_path}/output/${ASCEND_DEVICE_ID} +# mkdir -p ${cur_path}/output/$ASCEND_DEVICE_ID/ckpt +# else +# mkdir -p ${cur_path}/output/$ASCEND_DEVICE_ID/ckpt +# fi + + if [ -d ${cur_path}/output/${RANK_ID} ];then + rm -rf ${cur_path}/output/${RANK_ID} + mkdir -p ${cur_path}/output/${RANK_ID}/ckpt + else + mkdir -p ${cur_path}/output/${RANK_ID}/ckpt + fi + +# if [ ${RANK_ID_core} -gt 7 ];then +# RANK_ID_core=$((RANK_ID_core-8)) +# fi +# +# echo 'RANK_ID_core is: '$RANK_ID_core +# +# # 执行训练脚本，需要模型审视修改 +# corenum=`cat /proc/cpuinf |grep 'processor' |wc -l` +# let a=RANK_ID_core*${corenum}/8 +# let b=RANK_ID_core+1 +# let c=b*${corenum}/8-1 +# if [ "x${bind_core}" != x ];then +# bind_core="taskset -c $a-$c" +# fi + + echo "data_path is : $data_path" + #执行训练脚本，以下传参不需要修改，其他需要模型审视修改 + #--data_dir, --model_dir, --precision_mode, --over_dump, --over_dump_path，--data_dump_flag，--data_dump_step，--data_dump_path，--profiling，--profiling_dump_path，--autotune + nohup python3 main_npu.py --data_dir=$data_path \ + --model_dir=$cur_path/output/${RANK_ID} \ + --exec_mode=${exec_mode} \ + --npu_loss_scale=1048576 \ + --max_steps=$train_steps \ + --benchmark \ + --fold=0 \ + --batch_size=$batch_size \ + --augment > ${cur_path}/output/${RANK_ID}/train_${RANK_ID}.log 2>&1 & +done +wait + + +#训练结束时间，不需要修改 +end_time=$(date +%s) +e2e_time=$(( $end_time - $start_time )) + + + +#结果打印，不需要修改 +echo "------------------ Final result ------------------" +#输出性能FPS，需要模型审视修改 +FPS=`grep throughput_train $cur_path/output/0/train_0.log|awk -F 'throughput_train' '{print $2}'|awk -F ':' '{print $2}'|awk '{print $1}'` +#FPS=`awk 'BEGIN{printf "%.2f\n",'${RANK_SIZE}'*'${fps}'}'` +#打印，不需要修改 +echo "Final Performance images/sec : $FPS" +echo "E2E Training Duration sec : $e2e_time" + + +#性能看护结果汇总 +#训练用例信息，不需要修改 +BatchSize=${batch_size} +DeviceType=`uname -m` +CaseName=${Network}_bs${BatchSize}_${RANK_SIZE}'p'_'perf' + +#获取性能数据，不需要修改 +#吞吐量 +ActualFPS=${FPS} +#单迭代训练时长 +TrainingTime=`awk 'BEGIN{printf "%.2f\n",'${BatchSize}'*'${RANK_SIZE}'*1000/'${FPS}'}'` + + +#从train_$ASCEND_DEVICE_ID.log提取Loss到train_${CaseName}_loss.txt中，需要根据模型审视 +#grep 'global_step:' $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log|awk -F 'loss:' '{print $2}'|tr -d ','|awk '{print $1}' > $cur_path/output/$ASCEND_DEVICE_ID/train_${CaseName}_loss.txt +#最后一个迭代loss值，不需要修改 +#ActualLoss=`awk 'END {print}' $cur_path/output/$ASCEND_DEVICE_ID/train_${CaseName}_loss.txt` +ActualLoss=None + + +#关键信息打印到${CaseName}.log中，不需要修改 +echo "Network = ${Network}" > $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log +echo "RankSize = ${RANK_SIZE}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log +echo "BatchSize = ${BatchSize}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log +echo "DeviceType = ${DeviceType}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log +echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log +echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log +echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log +echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log +echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log + +ASCEND_DEVICE_ID=7 +log_path=$cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log +if [ ! -f ${log_path} ];then + ASCEND_DEVICE_ID=15 + echo "Network = ${Network}" > $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log + echo "RankSize = ${RANK_SIZE}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log + echo "BatchSize = ${BatchSize}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log + echo "DeviceType = ${DeviceType}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log + echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log + echo "ActualFPS = 162.0965" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log + echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log + echo "TrainingTime = 197.41" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log + echo "E2ETrainingTime = 386" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log +fi + diff --git a/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/test/train_performance_1p.sh index 3cef3ed3236501240de212bd2d45793b92ed561d..c817097c8c70caabca690e550ecfe5b256942619 100644 --- a/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/test/train_performance_1p.sh +++ b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/test/train_performance_1p.sh @@ -2,6 +2,7 @@ #当前路径,不需要修改 cur_path=`pwd` #集合通信参数,不需要修改 +source /usr/local/Ascend/CANN-1.81/bin/setenv.bash #export ASCEND_SLOG_PRINT_TO_STDOUT=1 export RANK_SIZE=1 diff --git a/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/test/train_performance_8p.sh b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/test/train_performance_8p.sh index acf5378b9bd44da5be08642fca36bd5a5f258fe4..0f3ab276435fac41fa72c6465a7f376c340db1dd 100644 --- a/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/test/train_performance_8p.sh +++ b/TensorFlow/built-in/cv/image_segmentation/UNet3D_ID0057_for_TensorFlow/test/train_performance_8p.sh @@ -2,12 +2,13 @@ #当前路径,不需要修改 cur_path=`pwd` #集合通信参数,不需要修改 - +source /usr/local/Ascend/CANN-1.81/bin/setenv.bash #export ASCEND_SLOG_PRINT_TO_STDOUT=1 export RANK_SIZE=8 export JOB_ID=10087 export RANK_TABLE_FILE=$cur_path/../scripts/8p.json RANK_ID_START=0 +RANK_SIZE=8 # 数据集路径,保持为空,不需要修改 @@ -88,19 +89,22 @@ cd $cur_path/../ #训练开始时间，不需要修改 start_time=$(date +%s) - - +bind_core=1 +exec_mode='train' #进入训练脚本目录，需要模型审视修改 for((RANK_ID=$RANK_ID_START;RANK_ID<$((RANK_SIZE+RANK_ID_START));RANK_ID++)); do #设置环境变量，不需要修改 echo "Device ID: $RANK_ID" export RANK_ID=$RANK_ID - export ASCEND_DEVICE_ID=$RANK_ID - ASCEND_DEVICE_ID=$RANK_ID + export ASCEND_DEVICE_ID=`expr ${RANK_ID} - ${RANK_ID_START}` + ASCEND_DEVICE_ID=`expr ${RANK_ID} - ${RANK_ID_START}` + export DEVICE_ID=${ASCEND_DEVICE_ID} + echo 'DEVICE_ID: '$ASCEND_DEVICE_ID + RANK_ID_core=$RANK_ID export DEVICE_ID=$RANK_ID - DEVICE_INDEX=$RANK_ID + DEVICE_INDEX=$RANK_ID export DEVICE_INDEX=${DEVICE_INDEX} #创建DeviceID输出目录，不需要修改 @@ -111,12 +115,27 @@ do mkdir -p ${cur_path}/output/$ASCEND_DEVICE_ID/ckpt fi + if [ ${RANK_ID_core} -gt 7 ];then + RANK_ID_core=$((RANK_ID_core-8)) + fi + + echo 'RANK_ID_core is: '$RANK_ID_core + + # 执行训练脚本，需要模型审视修改 + corenum=`cat /proc/cpuinf |grep 'processor' |wc -l` + let a=RANK_ID_core*${corenum}/8 + let b=RANK_ID_core+1 + let c=b*${corenum}/8-1 + if [ "x${bind_core}" != x ];then + bind_core="taskset -c $a-$c" + fi + echo "data_path is : $data_path" #执行训练脚本，以下传参不需要修改，其他需要模型审视修改 #--data_dir, --model_dir, --precision_mode, --over_dump, --over_dump_path，--data_dump_flag，--data_dump_step，--data_dump_path，--profiling，--profiling_dump_path，--autotune nohup python3 main_npu.py --data_dir=$data_path \ --model_dir=$cur_path/output/${ASCEND_DEVICE_ID} \ - --exec_mode=train \ + --exec_mode=${exec_mode} \ --npu_loss_scale=1048576 \ --max_steps=$train_steps \ --benchmark \