提交 a0c5fd83 编写于 作者: T tensor-tang

enable setting initial memory from env

上级 a8c2ff31
...@@ -30,8 +30,9 @@ int main(int argc, char** argv) { ...@@ -30,8 +30,9 @@ int main(int argc, char** argv) {
new_argv.push_back( new_argv.push_back(
strdup("--tryfromenv=fraction_of_gpu_memory_to_use,use_pinned_memory")); strdup("--tryfromenv=fraction_of_gpu_memory_to_use,use_pinned_memory"));
#else #else
new_argv.push_back(strdup("--tryfromenv=use_pinned_memory,use_mkldnn")); new_argv.push_back(strdup(
new_argv.push_back(strdup("--undefok=use_mkldnn")); "--tryfromenv=use_pinned_memory,use_mkldnn,initial_cpu_memory_in_mb"));
new_argv.push_back(strdup("--undefok=use_mkldnn,initial_cpu_memory_in_mb"));
#endif #endif
int new_argc = static_cast<int>(new_argv.size()); int new_argc = static_cast<int>(new_argv.size());
char** new_argv_address = new_argv.data(); char** new_argv_address = new_argv.data();
......
...@@ -117,7 +117,7 @@ def __bootstrap__(): ...@@ -117,7 +117,7 @@ def __bootstrap__():
read_env_flags = [ read_env_flags = [
'use_pinned_memory', 'check_nan_inf', 'benchmark', 'warpctc_dir', 'use_pinned_memory', 'check_nan_inf', 'benchmark', 'warpctc_dir',
'eager_delete_scope', 'use_mkldnn' 'eager_delete_scope', 'use_mkldnn', 'initial_cpu_memory_in_mb'
] ]
if core.is_compiled_with_cuda(): if core.is_compiled_with_cuda():
read_env_flags += [ read_env_flags += [
......
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