how to get llvm ir from tensorflow dataset?

[aifight]

Hello, Thanks for your impressive paper and remarkable code! I'm starting from compiling tensorflow source code to learn your algorithm better, but I'm stuck in comiling c++ code to llvm ir. Could you tell me how to compile tensorflow source code to llvm ir?

For now, I've downloaded tensorflow source code and put it in path: "/data/sjd/project/sometest/llvmtest/tensorflow-c-source/tensorflow/"

Then, I entered the path:"/data/sjd/project/sometest/llvmtest/tensorflow-c-source/tensorflow/tensorflow/cc/gradients"
I invoke command clang -I/data/sjd/project/sometest/llvmtest/tensorflow-c-source/tensorflow -I/data/sjd/project/sometest/llvmtest/tensorflow-c-source/tensorflow/third_party/eigen3 -S -emit-llvm image_grad.cc to get llvm ir, but I got error below:

In file included from /data/sjd/project/sometest/llvmtest/tensorflow-c-source/tensorflow/third_party/eigen3/unsupported/Eigen/CXX11/Tensor:1:
In file included from /data/sjd/project/sometest/llvmtest/tensorflow-c-source/tensorflow/third_party/eigen3/unsupported/Eigen/CXX11/Tensor:1:
/data/sjd/project/sometest/llvmtest/tensorflow-c-source/tensorflow/third_party/eigen3/unsupported/Eigen/CXX11/Tensor:1:10: error: #include nested too deeply
#include "unsupported/Eigen/CXX11/Tensor"

In file included from image_grad.cc:17:
In file included from /data/sjd/project/sometest/llvmtest/tensorflow-c-source/tensorflow/tensorflow/cc/framework/grad_op_registry.h:21:
In file included from /data/sjd/project/sometest/llvmtest/tensorflow-c-source/tensorflow/tensorflow/cc/framework/ops.h:21:
In file included from /data/sjd/project/sometest/llvmtest/tensorflow-c-source/tensorflow/tensorflow/core/framework/tensor.h:22:
In file included from /data/sjd/project/sometest/llvmtest/tensorflow-c-source/tensorflow/tensorflow/core/framework/allocator.h:23:
In file included from /data/sjd/project/sometest/llvmtest/tensorflow-c-source/tensorflow/tensorflow/core/framework/numeric_types.h:19:
In file included from /usr/lib/gcc/x86_64-linux-gnu/5.5.0/../../../../include/c++/5.5.0/complex:44:
/usr/lib/gcc/x86_64-linux-gnu/5.5.0/../../../../include/c++/5.5.0/cmath:1096:11: error: no member named 'acoshf' in the global namespace; did you mean 'acosh'?
using ::acoshf;
~~^
/usr/include/x86_64-linux-gnu/bits/mathcalls.h:88:13: note: 'acosh' declared here
__MATHCALL (acosh,, (Mdouble __x));
^

[tbennun]

Trying to compile a large project such as TensorFlow manually can be very messy. What we did to obtain the full compilation commands was:

• Follow the "Build from Source" instructions: https://www.tensorflow.org/install/source
  • Set clang as the compiler (so that flags are set properly)
• After compilation, read the build log file generated by bazel
  • grep the file for lines with "clang"
  • Add the -S -emit-llvm and -o flags

Hope this helps.

[tbennun]

@aifight did it help?

[aifight]

@tbennun Thanks for your instruction! I'm doing somethins more urgent recently, I'll try this method later