Comments (2)
PR #78 addresses the first 3 points:
- Add a test config for running a small number of random samples for all available op tests
- Add option to specify hard-coded list of shapes (eg. for edge cases)
- Remove old path of running tests via standalone python scripts
Take a look at:
python_api_testing/sweep_tests/test_configs/multi_op_tests/pytorch_all_op_sweep_test.yaml
(sweep of all ops; should run in ~45 mins)python_api_testing/sweep_tests/test_configs/test_config_example.yaml
(examples of tests with hardcoded shapes)
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PR #92 adds README.
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Related Issues (20)
- MCW Op Migration Blockers
- Implement floor op
- Implement mod op
- Implement shift op
- Implement trunc op
- API Request to fetch a single device-shard from multi-device tensor
- Port ttnn reduction operations to C++
- Add infra for dry run, regex, hang handling, out of L1 errors and tracking perf on sweep tests
- [Blackhole bringup] Disable L1 mem cache HOT 1
- [Blackhole bringup] Writing GO signal in stream registers
- [Blackhole bringup] Wider addresses in NOC cmd buffer programming sequence HOT 1
- [Blackhole bringup] Remove IRAM specific paths for NCRISC
- [Blackhole bringup] Account for 64B DRAM read alignment and 16B DRAM write alignment
- [Blackhole bringup] Investigate workaround for ETH iCache flush
- Port ttnn creation ops to C++
- Add forward support for GEI op
- ttnn implementation for segformer_b0 model
- shared eltwise support for bfloat8_t data type.
- EQI forward op
- LEI forward op
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