ERROR: /home/xxx/AICSE-demo-student/env/tensorflow-v1.10/tensorflow/stream_executor/mlu/BUILD:45:1: C++ compilation of rule '//tensorflow/stream_executor/mlu:mlu_api_lib_ops' failed (Exit 1): gcc failed: error executing command
(cd /root/.cache/bazel/bazel_root/a4ff5ff566d3dd2451bcf2ead3c6e9f4/execroot/org_tensorflow &&
exec env -
LD_LIBRARY_PATH=/home/xxx/AICSE-demo-student/env/neuware/lib64:/usr/local/neuware/lib64:/home/xxx/AICSE-demo-student/env/tensorflow-v1.10/third_party/mlu/lib
PATH=/opt/AICSE-demo-student/env/tensorflow-v1.10/virtualenv_mlu/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/xxx/AICSE-demo-student/env/neuware/bin:/usr/local/neuware/bin
PWD=/proc/self/cwd
/usr/bin/gcc -U_FORTIFY_SOURCE -fstack-protector -Wall -Wunused-but-set-parameter -Wno-free-nonheap-object -fno-omit-frame-pointer -g0 -O2 '-D_FORTIFY_SOURCE=1' -DNDEBUG -ffunction-sections -fdata-sections '-std=c++0x' -MD -MF bazel-out/host/bin/tensorflow/stream_executor/mlu/objs/mlu_api_lib_ops/mlu_lib_ops.pic.d '-frandom-seed=bazel-out/host/bin/tensorflow/stream_executor/mlu/objs/mlu_api_lib_ops/mlu_lib_ops.pic.o' -fPIC -D__CLANG_SUPPORT_DYN_ANNOTATION -DEIGEN_MPL2_ONLY '-DEIGEN_MAX_ALIGN_BYTES=64' '-DEIGEN_HAS_TYPE_TRAITS=0' -DTF_USE_SNAPPY -iquote . -iquote bazel-out/host/genfiles -iquote bazel-out/host/bin -iquote external/com_google_absl -iquote bazel-out/host/genfiles/external/com_google_absl -iquote bazel-out/host/bin/external/com_google_absl -iquote external/nsync -iquote bazel-out/host/genfiles/external/nsync -iquote bazel-out/host/bin/external/nsync -iquote external/eigen_archive -iquote bazel-out/host/genfiles/external/eigen_archive -iquote bazel-out/host/bin/external/eigen_archive -iquote external/local_config_sycl -iquote bazel-out/host/genfiles/external/local_config_sycl -iquote bazel-out/host/bin/external/local_config_sycl -iquote external/gif_archive -iquote bazel-out/host/genfiles/external/gif_archive -iquote bazel-out/host/bin/external/gif_archive -iquote external/jpeg -iquote bazel-out/host/genfiles/external/jpeg -iquote bazel-out/host/bin/external/jpeg -iquote external/protobuf_archive -iquote bazel-out/host/genfiles/external/protobuf_archive -iquote bazel-out/host/bin/external/protobuf_archive -iquote external/zlib_archive -iquote bazel-out/host/genfiles/external/zlib_archive -iquote bazel-out/host/bin/external/zlib_archive -iquote external/com_googlesource_code_re2 -iquote bazel-out/host/genfiles/external/com_googlesource_code_re2 -iquote bazel-out/host/bin/external/com_googlesource_code_re2 -iquote external/farmhash_archive -iquote bazel-out/host/genfiles/external/farmhash_archive -iquote bazel-out/host/bin/external/farmhash_archive -iquote external/fft2d -iquote bazel-out/host/genfiles/external/fft2d -iquote bazel-out/host/bin/external/fft2d -iquote external/highwayhash -iquote bazel-out/host/genfiles/external/highwayhash -iquote bazel-out/host/bin/external/highwayhash -iquote external/double_conversion -iquote bazel-out/host/genfiles/external/double_conversion -iquote bazel-out/host/bin/external/double_conversion -iquote external/snappy -iquote bazel-out/host/genfiles/external/snappy -iquote bazel-out/host/bin/external/snappy -iquote external/hwloc -iquote bazel-out/host/genfiles/external/hwloc -iquote bazel-out/host/bin/external/hwloc -isystem third_party/mlu/include -isystem bazel-out/host/genfiles/third_party/mlu/include -isystem bazel-out/host/bin/third_party/mlu/include -isystem external/nsync/public -isystem bazel-out/host/genfiles/external/nsync/public -isystem bazel-out/host/bin/external/nsync/public -isystem external/eigen_archive -isystem bazel-out/host/genfiles/external/eigen_archive -isystem bazel-out/host/bin/external/eigen_archive -isystem external/gif_archive/lib -isystem bazel-out/host/genfiles/external/gif_archive/lib -isystem bazel-out/host/bin/external/gif_archive/lib -isystem external/protobuf_archive/src -isystem bazel-out/host/genfiles/external/protobuf_archive/src -isystem bazel-out/host/bin/external/protobuf_archive/src -isystem external/zlib_archive -isystem bazel-out/host/genfiles/external/zlib_archive -isystem bazel-out/host/bin/external/zlib_archive -isystem external/farmhash_archive/src -isystem bazel-out/host/genfiles/external/farmhash_archive/src -isystem bazel-out/host/bin/external/farmhash_archive/src -isystem external/double_conversion -isystem bazel-out/host/genfiles/external/double_conversion -isystem bazel-out/host/bin/external/double_conversion -isystem external/hwloc/hwloc -isystem bazel-out/host/genfiles/external/hwloc/hwloc -isystem bazel-out/host/bin/external/hwloc/hwloc -isystem external/hwloc/include -isystem bazel-out/host/genfiles/external/hwloc/include -isystem bazel-out/host/bin/external/hwloc/include -g0 -g0 -DEIGEN_AVOID_STL_ARRAY -Iexternal/gemmlowp -Wno-sign-compare -fno-exceptions '-ftemplate-depth=900' '-DCAMBRICON_MLU=1' -msse3 -DTENSORFLOW_MONOLITHIC_BUILD -pthread -Werror '-Wno-error=unused-function' '-Wno-error=return-type' -fno-canonical-system-headers -Wno-builtin-macro-redefined '-D__DATE_="redacted"' '-D__TIMESTAMP__="redacted"' '-D__TIME__="redacted"' -c tensorflow/stream_executor/mlu/mlu_api/lib_ops/mlu_lib_ops.cc -o bazel-out/host/bin/tensorflow/stream_executor/mlu/_objs/mlu_api_lib_ops/mlu_lib_ops.pic.o)
Execution platform: @bazel_tools//platforms:host_platform
In file included from tensorflow/stream_executor/mlu/mlu_api/lib_ops/mlu_lib_ops.cc:17:0:
tensorflow/stream_executor/mlu/mlu_api/lib_ops/mlu_lib_ops.cc: In function 'tensorflow::Status stream_executor::mlu::lib::CreatePowerDifferenceOp(MLUBaseOp**, MLUTensor*, MLUTensor*, int, MLUTensor*, int)':
tensorflow/stream_executor/mlu/mlu_api/lib_ops/mlu_lib_ops.cc:1924:96: error: cannot convert 'MLUTensor** {aka cnmlTensor**}' to 'cnmlPluginPowerDifferenceOpParam_t {aka cnmlPluginPowerDifferenceOpParam*}' for argument '2' to 'cnmlStatus_t cnmlCreatePluginPowerDifferenceOp(cnmlBaseOp**, cnmlPluginPowerDifferenceOpParam_t, cnmlTensor**, int, cnmlTensor**, int)'
CNML_RETURN_STATUS(cnmlCreatePluginPowerDifferenceOp(op, inputs_ptr, input3, outputs_ptr, len));
^
./tensorflow/stream_executor/mlu/mlu_api/lib_ops/util.h:135:29: note: in definition of macro 'TF_CNML_CHECK'
MLUStatus mlu_status = (VA_ARGS);
^
tensorflow/stream_executor/mlu/mlu_api/lib_ops/mlu_lib_ops.cc:1924:3: note: in expansion of macro 'CNML_RETURN_STATUS'
CNML_RETURN_STATUS(cnmlCreatePluginPowerDifferenceOp(op, inputs_ptr, input3, outputs_ptr, len));
^
tensorflow/stream_executor/mlu/mlu_api/lib_ops/mlu_lib_ops.cc: In function 'tensorflow::Status stream_executor::mlu::lib::ComputePowerDifferenceOp(MLUBaseOp*, MLUCnrtQueue*, void*, void*, void*)':
tensorflow/stream_executor/mlu/mlu_api/lib_ops/mlu_lib_ops.cc:1933:76: error: invalid conversion from 'void**' to 'cnmlTensor**' [-fpermissive]
op, inputs_ptr, outputs_ptr, queue));
^
./tensorflow/stream_executor/mlu/mlu_api/lib_ops/util.h:135:29: note: in definition of macro 'TF_CNML_CHECK'
MLUStatus mlu_status = (VA_ARGS);
^
tensorflow/stream_executor/mlu/mlu_api/lib_ops/mlu_lib_ops.cc:1932:3: note: in expansion of macro 'CNML_RETURN_STATUS'
CNML_RETURN_STATUS(cnmlComputePluginPowerDifferenceOpForward(
^
tensorflow/stream_executor/mlu/mlu_api/lib_ops/mlu_lib_ops.cc:1933:76: error: invalid conversion from 'MLUCnrtQueue* {aka cnrtQueue*}' to 'int' [-fpermissive]
op, inputs_ptr, outputs_ptr, queue));
^
./tensorflow/stream_executor/mlu/mlu_api/lib_ops/util.h:135:29: note: in definition of macro 'TF_CNML_CHECK'
MLUStatus mlu_status = (VA_ARGS);
^
tensorflow/stream_executor/mlu/mlu_api/lib_ops/mlu_lib_ops.cc:1932:3: note: in expansion of macro 'CNML_RETURN_STATUS'
CNML_RETURN_STATUS(cnmlComputePluginPowerDifferenceOpForward(
^
tensorflow/stream_executor/mlu/mlu_api/lib_ops/mlu_lib_ops.cc:1933:76: error: too few arguments to function 'cnmlStatus_t cnmlComputePluginPowerDifferenceOpForward(cnmlBaseOp_t, cnmlTensor**, void**, int, cnmlTensor**, void**, int, cnrtQueue_t, void*)'
op, inputs_ptr, outputs_ptr, queue));
^
./tensorflow/stream_executor/mlu/mlu_api/lib_ops/util.h:135:29: note: in definition of macro 'TF_CNML_CHECK'
MLUStatus mlu_status = (VA_ARGS);
^
tensorflow/stream_executor/mlu/mlu_api/lib_ops/mlu_lib_ops.cc:1932:3: note: in expansion of macro 'CNML_RETURN_STATUS'
CNML_RETURN_STATUS(cnmlComputePluginPowerDifferenceOpForward(
^
In file included from ./tensorflow/core/platform/mlu.h:7:0,
from tensorflow/stream_executor/mlu/mlu_api/lib_ops/mlu_lib_ops.cc:16:
./third_party/mlu/include/cnplugin.h:1649:14: note: declared here
cnmlStatus_t cnmlComputePluginPowerDifferenceOpForward(
^
Target //tensorflow/tools/pip_package:build_pip_package failed to build
INFO: Elapsed time: 673.792s, Critical Path: 73.37s
INFO: 2561 processes: 2561 local.
FAILED: Build did NOT complete successfully

CPU的错误率是5.xxxx0-6

是TensorBoard吗？
还是什么别的软件，感觉特别直观，能够分享下呢~

作者您好，首先感谢您作业和章节的分享！
然后我看完您的实验一banc算子的实现代码，并且按照您的代码 bash mask.sh编译后， 运行power_diff_test 得到的err rate =100% 我有些疑惑，我想请教您以下2个问题：

1. __bang_mul(temp_nram,temp_nram,temp_nram,ONELINE);
   我认为应该设置一个temp 和一个res
   temp = input1 - input2
   res = input1 - input2
   如果只用temp的话
   temp = input1-input2
   temp =temp * temp
   函数改成__bang_mul(res,temp_nram,res,ONELINE);这样？
   res = res * temp
2. __bang_active_abs(temp_nram,temp_nram,ONELINE);请问为什么要绝对值呢？
   if x < y ，(x-y)^3 不是负的吗？
   希望不吝赐教 谢谢！

WARNING:tensorflow:From power_difference_test_bcl.py:10: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

CNML: 7.2.1 c8ada41
CNRT: 4.2.1 fa5e44c
CNML: 7.2.1 c8ada41
CNML: 7.2.1 c8ada41
2020-12-05 05:24:10.892081: I tensorflow/stream_executor/mlu/mlu_stream_executor.cc:470][112186] MLU OP Cache enabled
CNML: 7.2.1 c8ada41
2020-12-05 05:24:10.892249: I tensorflow/core/common_runtime/mlu/mlu_device.cc:396][112186] __LOG_MLU__, Current MLU_Visible_Devices Count: 1
2020-12-05 05:24:10.892410: I tensorflow/core/common_runtime/mlu/mlu_device.cc:115][112186] __LOG_MLU__, save_offline_model: 0
2020-12-05 05:24:10.892487: I tensorflow/core/common_runtime/mlu/mlu_device.cc:121][112186] __LOG_MLU__, core_version: MLU270
2020-12-05 05:24:10.892584: I tensorflow/core/common_runtime/mlu/mlu_device.cc:123][112186] __LOG_MLU__, core_num: 1
Traceback (most recent call last):
  File "power_difference_test_bcl.py", line 36, in <module>
    main()
  File "power_difference_test_bcl.py", line 22, in main
    res = power_difference_op(input_x, input_y, input_pow)
  File "power_difference_test_bcl.py", line 12, in power_difference_op
    out = tf.power_difference()
  File "/opt/AICSE-demo-student/env/tensorflow-v1.10/virtualenv_mlu/local/lib/python2.7/site-packages/tensorflow/python/util/deprecation_wrapper.py", line 106, in __getattr__
    attr = getattr(self._dw_wrapped_module, name)
AttributeError: 'module' object has no attribute 'power_difference'

↑This error appears when executing “
.../online_mlu/power_difference_test_bcl.py”
↓

import numpy as np
import os
import time
os.environ['MLU_VISIBLE_DEVICES']="0"
import tensorflow as tf
np.set_printoptions(suppress=True)
from power_diff_numpy import *

def power_difference_op(input_x, input_y, input_pow):
        with tf.Session() as sess:

                out = tf.power_difference()
                return sess.run(out, feed_dict = {x:input_x, y:input_y, pow:input_pow})

def main():
        value = 256
        input_x = np.random.randn(1,value,value,3)
        input_y = np.random.randn(1,1,1,3)
        input_pow = np.zeros((2))

        start = time.time()
        res = power_difference_op(input_x, input_y, input_pow)
        end = time.time() - start
        print("comput BCL op cost "+ str(end*1000) + "ms" )

        start = time.time()
        output = power_diff_numpy(input_x, input_y,len(input_pow))
        end = time.time()
        res = np.reshape(res,(-1))
        output = np.reshape(output,(-1))
        print("comput op cost "+ str((end-start)*1000) + "ms" )
        err = sum(abs(res - output))/sum(output)
        print("err rate= "+ str(err*100))

if __name__ == '__main__':
        main()

Could you tell me how to fix it? 谢谢