“893c1b01d809e753403521cc89137d75f79e3e13”上不存在“paddle/fluid/inference/api/paddle_pass_builder.h”
  1. 21 10月, 2019 1 次提交
  2. 14 10月, 2019 1 次提交
  3. 15 8月, 2018 1 次提交
  4. 26 7月, 2018 2 次提交
  5. 07 5月, 2018 1 次提交
  6. 24 2月, 2018 1 次提交
  7. 13 2月, 2018 1 次提交
    • X
      Run Python OP tests in a single Python process to improve test time. (#8362) · cde6241a
      Xin Pan 提交于
      Currently, our tests run with 2 GPUs, the init time is absurdly long:
      about 4s for each process.  Currently, we run each OP test on
      different processes. This PR:
      
      1. create cmake function py_test_modules which will generate the
      Makefile that runs a list of Python unittest module in a single Python
      process.
      
      2. move all "python unittest compatible" (e.g., used the unittest
      package, not just a regular python file). from fluid/tests to
      fluid/tests/unittests.
      
      3. cmake now will run all OP tests in fluid/tests/unittests in a
      single process, except the time-consuming tests, they are separated
      into different processes to utilize parallelism. Please make sure to
      use the unittest package if you put the python test file in
      fluid/tests/unittests
      
      4. remove all exit(0) from fluid/tests/unittests/*.py, exit(0) is used
      to disable unittest, we can not do it when running all tests in a
      single process since it will terminate the process without running the
      other tests. Instead, the test is disabled in
      fluid/tests/unittests/CMakeLists.txt. FIXME is added for each disabled
      item. Please disable the unittest from
      fluid/tests/unittests/CMakeLists.txt, instead of adding exit(0) to the
      Python file, for all Python file in fluid/tests/unittests/.
      
      5. add an option WITH_FAST_BUNDLE_TEST. When OFF, will run the unit
      tests in separate process so that they can be tested individually.
      cde6241a
  8. 12 2月, 2018 1 次提交
  9. 21 1月, 2018 2 次提交
  10. 19 1月, 2018 1 次提交
  11. 18 1月, 2018 1 次提交
  12. 17 1月, 2018 1 次提交
  13. 15 1月, 2018 1 次提交
    • D
      Feature/hooks (#7513) · b9b75377
      dzhwinter 提交于
      * add copyright hook
      
      * add copyright hook
      
      * refine copyright hook
      
      * "test copyright hook"
      
      * fix check style
      
      * fix ci
      b9b75377
  14. 14 11月, 2017 1 次提交
  15. 18 10月, 2017 1 次提交
    • M
      MatMul operator (#4856) · 16489827
      Markus Kliegl 提交于
      * initial matmul operator
      
      Similar to np.matmul, but also has transpose_X and transpose_Y flags,
      and only supports tensors from rank 1 to 3 inclusive.
      
      For GPU, uses cublas?gemmStridedBatched. For CPU, uses
      cblas_?gemm_batch if available via MKL; otherwise a simple serial
      implementation that loops over the batch dimension is employed for now.
      16489827