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Triton 3.6 pin update (#168096)
Required for release 2.10 Rocm wheel build fix provided by: #169369 Pull Request resolved: #168096 Approved by: https://github.com/njriasan, https://github.com/malfet, https://github.com/huydhn
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bfeb066872bc1e8b2d2bc0a3b295b99dd77206e7
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5261b27331eb1dd09df9ec1bd6acc21cbb184481

.ci/docker/triton_version.txt

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3.5.1
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3.6.0

.github/scripts/amd/package_triton_wheel.sh

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@@ -87,6 +87,7 @@ done
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cp -r $ROCM_HOME/include/hip $TRITON_ROCM_DIR/include
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cp -r $ROCM_HOME/include/roctracer $TRITON_ROCM_DIR/include
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cp -r $ROCM_HOME/include/hsa $TRITON_ROCM_DIR/include
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cp -r $ROCM_HOME/include/hipblas-common $TRITON_ROCM_DIR/include
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# Copy linker
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mkdir -p $TRITON_ROCM_DIR/llvm/bin

benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_inductor_timm_training.csv

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convnextv2_nano.fcmae_ft_in22k_in1k,pass,7
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convnextv2_nano.fcmae_ft_in22k_in1k,fail_accuracy,7
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test/inductor/test_cooperative_reductions.py

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from torch.testing._internal.common_utils import (
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instantiate_parametrized_tests,
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parametrize,
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slowTest,
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)
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from torch.testing._internal.inductor_utils import GPU_TYPE, HAS_GPU
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@@ -198,6 +199,7 @@ def fn(x, y):
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self.assertEqual(before.count("if rsplit_id == ("), 0)
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self.assertEqual(after.count("if rsplit_id == ("), 6)
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@slowTest
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@parametrize("bs", [1, 2, 5, 15])
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@parametrize("count", [1024**2 + 1, 1024**2 - 1, 1024])
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def test_non_power_of_2(self, bs, count):

test/test_sparse.py

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@@ -12,7 +12,7 @@
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load_tests, TEST_NUMPY, TEST_SCIPY, IS_WINDOWS, gradcheck, coalescedonoff, \
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DeterministicGuard, first_sample, TEST_WITH_CROSSREF, TEST_WITH_ROCM, skipIfTorchDynamo, \
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parametrize, subtest, is_coalesced_indices, suppress_warnings, instantiate_parametrized_tests, \
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skipIfCrossRef
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skipIfCrossRef, slowTest
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from torch.testing._internal.common_cuda import TEST_CUDA
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from torch.testing._internal.common_mps import mps_ops_modifier
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from numbers import Number
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f' contiguous_indices{contiguous_indices}, contiguous_values={contiguous_values}')
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assert not untested_combinations, untested_combinations
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@slowTest
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@all_sparse_layouts('layout', include_strided=False)
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def test_constructor_autograd(self, device, layout):
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@@ -5490,6 +5491,7 @@ def test_sparse_mask(self, mask_layout, device, dtype):
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result = mask.to_dense().sparse_mask(mask)
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self.assertEqual(result, mask)
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@slowTest
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@all_sparse_layouts('layout', include_strided=False)
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@parametrize("masked", [subtest(False, name='nonmasked'), subtest(True, name='masked')])
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@parametrize("fast_mode", [subtest(False, name='slow'), subtest(True, name='fast')])

test/test_sparse_csr.py

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from torch.testing._internal.common_utils import \
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(TEST_WITH_TORCHINDUCTOR, TEST_WITH_ROCM, TEST_CUDA_CUDSS, TEST_SCIPY, TEST_NUMPY, TEST_MKL, IS_WINDOWS, TestCase,
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run_tests, load_tests, coalescedonoff, parametrize, subtest, skipIfTorchDynamo,
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skipIfRocmVersionLessThan, IS_FBCODE, IS_REMOTE_GPU, suppress_warnings)
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skipIfRocmVersionLessThan, IS_FBCODE, IS_REMOTE_GPU, suppress_warnings, slowTest)
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from torch.testing._internal.common_device_type import \
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(ops, instantiate_device_type_tests, dtypes, OpDTypes, dtypesIfCUDA, onlyCPU, onlyCUDA, skipCUDAIfNoSparseGeneric,
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precisionOverride, skipMeta, skipCUDAIf, skipCUDAIfRocm, skipCPUIfNoMklSparse, largeTensorTest)
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@parametrize("blocksize", [2, '2x3', 16, '16x32', 32, 64])
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@onlyCUDA
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@slowTest
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@dtypes(torch.half, torch.bfloat16, torch.float)
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@dtypesIfCUDA(torch.half, *[torch.bfloat16] if SM80OrLater else [], torch.float)
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@unittest.skipIf(IS_FBCODE and IS_REMOTE_GPU, "Test requires Triton")

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