ChaiBapchya commented on issue #16755: Enabling large tensor support for binary broadcast operators URL: https://github.com/apache/incubator-mxnet/pull/16755#issuecomment-551328930 Build flag ``` python -c "from mxnet.runtime import feature_list; print(feature_list())" [✖ CUDA, ✖ CUDNN, ✖ NCCL, ✖ CUDA_RTC, ✖ TENSORRT, ✔ CPU_SSE, ✔ CPU_SSE2, ✔ CPU_SSE3, ✔ CPU_SSE4_1, ✔ CPU_SSE4_2, ✖ CPU_SSE4A, ✔ CPU_AVX, ✖ CPU_AVX2, ✔ OPENMP, ✖ SSE, ✔ F16C, ✖ JEMALLOC, ✔ BLAS_OPEN, ✖ BLAS_ATLAS, ✖ BLAS_MKL, ✖ BLAS_APPLE, ✔ LAPACK, ✔ MKLDNN, ✔ OPENCV, ✖ CAFFE, ✖ PROFILER, ✔ DIST_KVSTORE, ✖ CXX14, ✔ INT64_TENSOR_SIZE, ✔ SIGNAL_HANDLER, ✖ DEBUG, ✖ TVM_OP] ``` Output of test run ``` ubuntu@ip-172-31-27-86:~/workspace/incubator-mxnet$ nosetests tests/nightly/test_large_array.py:test_binary_broadcast . ---------------------------------------------------------------------- Ran 1 test in 39.432s OK ```
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