1. 14 Oct, 2023 2 commits
  2. 13 Oct, 2023 2 commits
  3. 12 Oct, 2023 2 commits
  4. 11 Oct, 2023 2 commits
  5. 10 Oct, 2023 1 commit
  6. 06 Oct, 2023 3 commits
  7. 05 Oct, 2023 1 commit
  8. 04 Oct, 2023 1 commit
  9. 03 Oct, 2023 2 commits
  10. 28 Sep, 2023 2 commits
    • Charlie Lin's avatar
      Fix shapes check for allocate (#2258) · 5b53552d
      Charlie Lin authored
      5b53552d
    • Umang Yadav's avatar
      Add options to set tolerances inside MIGraphX driver (#2213) · 69d8d789
      Umang Yadav authored
      MIGraphX verification by default uses normalized RMS error as the basis for the verification.  This change adds some logic to allow migraphx to do "np.allclose" type of elementwise verification using atol and rtol.
      
      Commit also includes changes to consistently pass "gold" or "expected" results as the second argument for "verify_range()" calls.  Default RMS tolerance inside driver is set to 0.001 which IMO is high for FP32 compared to what we had earlier. Need better defaults
      69d8d789
  11. 27 Sep, 2023 3 commits
  12. 24 Sep, 2023 2 commits
  13. 23 Sep, 2023 1 commit
  14. 21 Sep, 2023 3 commits
  15. 20 Sep, 2023 1 commit
  16. 19 Sep, 2023 1 commit
  17. 17 Sep, 2023 1 commit
  18. 16 Sep, 2023 3 commits
  19. 15 Sep, 2023 1 commit
  20. 14 Sep, 2023 2 commits
    • Paul Fultz II's avatar
    • Brian Pickrell's avatar
      added rand_uniform operation closes #1958 (#2051) · fbd12bd3
      Brian Pickrell authored
      New op that populates a shape with random numbers with a uniform distribution. The rand_uniform op. can implement the Onnx RandomUniform instruction, and can also create the random number sequence necessary to implement Multinomial. (At this time, our Onnx Multinomial parsing generates a random sequence of numbers when parsing as a workaround, so that the resulting program uses the same "random" set every time.)
      
      Arguments: shape, seed. Shape is required; can be static or dynamic. Seed is still optional in this version. If it's not given at inference time, use the value in the creation attribute seed. Update: deleted A boolean use_auto_seed causes any given seed to be ignored.
      fbd12bd3
  21. 13 Sep, 2023 1 commit
  22. 12 Sep, 2023 1 commit
  23. 11 Sep, 2023 1 commit
  24. 10 Sep, 2023 1 commit