* fix: make Tensor.rand produce correct values for float16
Due to precision loss when casting to float16, the data distribution created by custom_random isnt correctly in the interval ]0, 1[, but instead in the interval ]0, 1], which causes the Tensor.randn to incorrectly generate values of infinity.
The solution uses a scaling value to make sure the values stay under 1, when using half precision.
Closes#3611
* update implementation to truncate to closest f16 value to 1
* chore: fix whitespace
* test larger distribution
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Co-authored-by: chenyu <chenyu@fastmail.com>
be more specific about invalid kernel opt, used that in test_linearizer_failures.
make BEAM kernel search work even with assertion disabled.
`BEAM=2 python3 -O examples/llama.py --temperature=0 --count=10 --prompt="Hello." --timing`
* add FUZZ_NTH to fuzz_linearizer
also update tests in test_linearizer_failures to not just run on METAL
* update failures for HIP/HSA
* test_failure_21 LLVM PADTO
* working PolynomialDecayWithWarmup + tests.......
add lars_util.py, oops
* keep lars_util.py as intact as possible, simplify our interface
* whitespace
* clean up
* clean up
* asserts
* test polylr for full resnet training run
* add comment
* rename
* fix do_optim
* don't cast lr
* info
* calculate from train_files
* skip it
included non-reduce kernel and kernel with variables. green msg when everything passed
it's possible that creating rawbufs failed due to memory error, included that in failure cases
* Fix bug in login functionality
* Remove HSA backend test and add bfloat16 dtype tests that run in CI
* Skip tests on HIPCPU
* skip tests causing segfault on LLVM backend
* Exclude bfloat16 tests causing segfaults in LLVM backend
* move bf16 cast tests to only test on HIP
need to remove SUB since it's possible to have (const - (const - const)) in test/test_ops.py::TestOps::test_cos,
in which case cannot remove the parens of children
* lars optimizer + tests
* fix skip list!
* use id to compare in skip list
* go back to using set
* Tensor(bool) * Tensor(bool) is and
* don't lint external/mlperf_resnet
* whitespace
* add external_test_optim to opencl tests
* give mlperf task a name
* mlperf under onnx
* remove track_gnorm
* contiguous instead of realize
* assert momentum and weight decay positive
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Co-authored-by: chenyu <chenyu@fastmail.com>
* hip bf16
* remu dev mac
* Revert "remu dev mac"
This reverts commit 465069a0dc3c7f2045f3348b312a1dcbf1587acd.
* skip disk tests in CI
* bring float8 back
* this mem fault still happening
* smaller
* that print doesn't work
* overflows test
* hip doesn't uses_ptr_arithmetic
* only with locals
* test overflow new name
* it's not ptr arith
* simpler
* simple repro
* old compiler
* simpler
* put that back
1. Tensor.to should return self if device == self.device. This was not the case if provided with non-canonical name of self.device.
2. Tensor.to result was missing graph, even though requires_grad and grad were propagated .
Add corresponding tests.
* explicitly create_lt_node when used in shapetracker
leave regular __lt__ and cmps for symbolic shape cmp
* hmm it fixed that?
* LtNode.substitute uses create_lt_node
