Update CHANGELOG.md for 6.4 #3847
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causten
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pfultz2,
pragupta,
kahmed10,
shivadbhavsar,
TedThemistokleous,
ahsan-ca and
a team
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## release/rocm-rel-6.4 #3847 +/- ##
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Coverage 92.33% 92.33%
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Files 519 519
Lines 22261 22261
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Hits 20555 20555
Misses 1706 1706 ☔ View full report in Codecov by Sentry. |
ahsan-ca
requested changes
Feb 26, 2025
Co-authored-by: Ahsan Saghir <[email protected]>
Co-authored-by: Ahsan Saghir <[email protected]>
Co-authored-by: Ahsan Saghir <[email protected]>
Co-authored-by: Ahsan Saghir <[email protected]>
ahsan-ca
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Feb 26, 2025
pragupta
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Feb 26, 2025
spolifroni-amd
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Feb 26, 2025
Co-authored-by: Ahsan Saghir <[email protected]>
Co-authored-by: spolifroni-amd <[email protected]>
spolifroni-amd
approved these changes
Feb 28, 2025
| * Fixed multistream execution with larger models (#3757) | ||
| * Peephole LSTM Error (#3768) | ||
| * Fixed BertSquad example that could include a broken tokenizers package (#3556) | ||
| * Fixed Attention fusion ito not error with a shape mismatch when a trailing pointwise contains a literal (#3758) |
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Is this a typo or is it something that needs to be in quotes/preformatted text?
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| * Support for gfx1200 and gfx1201 | ||
| * hipBLASLt support for contiguous transpose GEMM fusion and GEMM pointwise fusions for improved performance | ||
| * Support for hardware specific FP8 datatypes (FP8 OCP and FP8 FNUZ) |
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Because below everything starts with "added", this either needs to start with "added" or nothing needs to start with "added". It's easier to add "added" to these three lines
| * Included the min/max/median of the `perf` run as part of the summary report | ||
| * Enable non-packed inputs for `rocMLIR` | ||
| * Always output a packed type for q/dq after determining non-packed tensors were inefficient | ||
| * Even if using NHWC, MIGraphX will always convert group convolutions to NCHW for best performance |
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Suggested change
| * Even if using NHWC, MIGraphX will always convert group convolutions to NCHW for best performance | |
| * MIGraphX will always convert group convolutions to NCHW for best performance, including when using NHWC. |
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Changes made for 6.4. Review for spelling, punctuation and accuracy