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Release 2.15 #656

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0ebe377
Changed version to 2.15.0
ptrendx Apr 20, 2026
f9de736
[PyTorch] Fix cuteDSL kernel incorrect numerics when K is 64 aligned …
ksivaman Apr 21, 2026
8e73f54
Add MXFP8 attention (#2719)
cyanguwa Apr 21, 2026
95edbd4
Fix flash attention version check. (#2910)
bbuschkaemper Apr 22, 2026
a506ec5
Make NS coefficients parameter 2D in Python API (#2904)
vcherepanov-nv Apr 22, 2026
45fb909
[PyTorch] Fix CP A2A F16 when NVTE_FP8_DPA_BWD=1 (#2917)
cyanguwa Apr 23, 2026
4b74684
[PyTorch] Fix FA4 selection when FA3 is unavailable. (#2909)
bbuschkaemper Apr 23, 2026
150525e
Fix the race in the dbias computation in MXFP8 quantization and group…
ptrendx Apr 24, 2026
c9ab18a
Remove uncessary ctype being passed to GroupedGEMMQuant kernel (#2922)
vthumbe1503 Apr 24, 2026
9250b77
[Common] Fix "0" literal for compilation (#2934)
cyanguwa Apr 28, 2026
94958be
[Common, PyTorch] Add triton mHC kernels & pytorch APIs (#2790)
kainzhong Apr 28, 2026
6075536
[PyTorch] Main_Grad buffer isnt overwritten when overwrite_main_grad=…
vthumbe1503 Apr 29, 2026
1460477
Correctly pad scaling factor inverses to satisfy cuteDSL requirements…
ksivaman Apr 29, 2026
a429716
[PyTorch] Fusible ops preserve usages in quantized weight tensors (#2…
timmoon10 May 1, 2026
df68421
[PyTorch] Add workaround for cuteDSL stride requirement for zero-toke…
ksivaman May 1, 2026
e688ae4
[JAX] Calculate seqlens and offsets in O(T) space instead of O(T*T) s…
KshitijLakhani May 1, 2026
10bdccc
[PyTorch] Cleanup `cudnn-frontend` requirements for fused grouped MLP…
ksivaman May 1, 2026
3378ef1
[JAX] Fix bf16 precision loss in TestGroupedDense reference dbias (#2…
tdophung Apr 30, 2026
42b8400
[PyTorch] Guard/document single parameter feature for grouped linear …
ksivaman May 4, 2026
2f9490a
auto-merge basis for release-sync-v2.15-260630 (raw, conflicts present)
VeeraRajasekhar Jun 30, 2026
8d83ffb
Resolve release-sync v2.15 conflicts + port ROCm fused-attn API
VeeraRajasekhar Jun 30, 2026
b20f014
ROCm build fixes for flash_attn TMA and swizzle dynamic smem
VeeraRajasekhar Jun 30, 2026
0853796
Guard new upstream FP8/MXFP8 fused-attn arch heuristics for ROCm
VeeraRajasekhar Jul 1, 2026
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2 changes: 1 addition & 1 deletion 3rdparty/cudnn-frontend
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Submodule cudnn-frontend updated 278 files
2 changes: 1 addition & 1 deletion build_tools/VERSION.txt
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@@ -1 +1 @@
2.15.0.dev0
2.15.0
4 changes: 2 additions & 2 deletions ci/pytorch.sh
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Expand Up @@ -56,7 +56,7 @@ run_test_config(){
test $_fus_attn = auto -o $_fus_attn = ck -o $_fus_attn = aotriton && NVTE_FLASH_ATTN=0 NVTE_CPU_OFFLOAD_V1=1 run 3 test_cpu_offloading_v1.py
run_default_fa 1 test_fused_rope.py
run_default_fa 1 test_fused_router.py
run_default_fa 1 test_fusible_ops.py
NVTE_GROUPED_LINEAR_SINGLE_PARAM=1 run_default_fa 1 test_fusible_ops.py
run_default_fa 1 test_gemm_autotune.py
run 1 test_gqa.py
run 1 test_jit.py
Expand All @@ -66,7 +66,7 @@ run_test_config(){
run_default_fa 1 test_nvfp4_fsdp2_hooks.py
run_default_fa 1 test_permutation.py
run_default_fa 1 test_recipe.py
run 1 test_sanity.py
NVTE_GROUPED_LINEAR_SINGLE_PARAM=1 run 1 test_sanity.py
run_default_fa 3 test_sanity_hipified_cast_transpose.py
run_default_fa 1 test_sanity_import.py
run_default_fa 1 test_torch_compile.py
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10 changes: 10 additions & 0 deletions docs/api/pytorch.rst
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Expand Up @@ -230,6 +230,16 @@ Operation fuser

.. autoapiclass:: transformer_engine.pytorch.ops.SwiGLU

.. autoapifunction:: transformer_engine.pytorch.triton.mhc.mhc_fused_sinkhorn

.. autoapifunction:: transformer_engine.pytorch.triton.mhc.mhc_fused_scale

.. autoapifunction:: transformer_engine.pytorch.triton.mhc.mhc_fused_aggregate

.. autoapifunction:: transformer_engine.pytorch.triton.mhc.mhc_fused_expand_combine

.. autoapifunction:: transformer_engine.pytorch.triton.mhc.mhc_fused_projection

Deprecated functions
--------------------

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2 changes: 1 addition & 1 deletion qa/L0_pytorch_debug_unittest/test.sh
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Expand Up @@ -36,7 +36,7 @@ NVTE_TORCH_COMPILE=0 pytest -v -s --junitxml=$XML_LOG_DIR/test_api_features.xml
pytest -v -s --junitxml=$XML_LOG_DIR/test_perf.xml $TE_PATH/tests/pytorch/debug/test_perf.py --feature_dirs=$NVTE_TEST_NVINSPECT_FEATURE_DIRS --configs_dir=$NVTE_TEST_NVINSPECT_CONFIGS_DIR || test_fail "test_perf.py"

# standard sanity and numerics tests with initialized debug
NVTE_TEST_NVINSPECT_ENABLED=1 NVTE_TEST_NVINSPECT_CONFIG_FILE=$NVTE_TEST_NVINSPECT_DUMMY_CONFIG_FILE NVTE_TEST_NVINSPECT_FEATURE_DIRS=$NVTE_TEST_NVINSPECT_FEATURE_DIRS PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 pytest -v -s --junitxml=$XML_LOG_DIR/test_sanity_2.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "debug test_sanity.py"
NVTE_GROUPED_LINEAR_SINGLE_PARAM=1 NVTE_TEST_NVINSPECT_ENABLED=1 NVTE_TEST_NVINSPECT_CONFIG_FILE=$NVTE_TEST_NVINSPECT_DUMMY_CONFIG_FILE NVTE_TEST_NVINSPECT_FEATURE_DIRS=$NVTE_TEST_NVINSPECT_FEATURE_DIRS PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 pytest -v -s --junitxml=$XML_LOG_DIR/test_sanity_2.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "debug test_sanity.py"
NVTE_TEST_NVINSPECT_ENABLED=1 NVTE_TEST_NVINSPECT_CONFIG_FILE=$NVTE_TEST_NVINSPECT_DUMMY_CONFIG_FILE NVTE_TEST_NVINSPECT_FEATURE_DIRS=$NVTE_TEST_NVINSPECT_FEATURE_DIRS PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 NVTE_FUSED_ATTN=0 pytest -v -s --junitxml=$XML_LOG_DIR/test_numerics_2.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "debug test_numerics.py"

if [ "$RET" -ne 0 ]; then
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Empty file modified qa/L0_pytorch_lint/test.sh
100644 → 100755
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8 changes: 5 additions & 3 deletions qa/L0_pytorch_unittest/test.sh
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Expand Up @@ -24,7 +24,7 @@ mkdir -p "$XML_LOG_DIR"

pip3 install pytest==8.2.1 || error_exit "Failed to install pytest"

python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
NVTE_GROUPED_LINEAR_SINGLE_PARAM=1 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_sanity.xml $TE_PATH/tests/pytorch/test_sanity.py || test_fail "test_sanity.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_recipe.xml $TE_PATH/tests/pytorch/test_recipe.py || test_fail "test_recipe.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_deferred_init.xml $TE_PATH/tests/pytorch/test_deferred_init.py || test_fail "test_deferred_init.py"
PYTORCH_JIT=0 NVTE_TORCH_COMPILE=0 NVTE_ALLOW_NONDETERMINISTIC_ALGO=0 NVTE_FUSED_ATTN=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_numerics.xml $TE_PATH/tests/pytorch/test_numerics.py || test_fail "test_numerics.py"
Expand All @@ -37,11 +37,11 @@ python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_quantized_tensor
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8blockwisetensor.xml $TE_PATH/tests/pytorch/test_float8blockwisetensor.py || test_fail "test_float8blockwisetensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_scaling_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_scaling_exact.py || test_fail "test_float8_blockwise_scaling_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_float8_blockwise_gemm_exact.xml $TE_PATH/tests/pytorch/test_float8_blockwise_gemm_exact.py || test_fail "test_float8_blockwise_gemm_exact.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/test_grouped_tensor.xml $TE_PATH/tests/pytorch/test_grouped_tensor.py || test_fail "test_grouped_tensor.py"
NVTE_GROUPED_LINEAR_SINGLE_PARAM=1 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/test_grouped_tensor.xml $TE_PATH/tests/pytorch/test_grouped_tensor.py || test_fail "test_grouped_tensor.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_gqa.xml $TE_PATH/tests/pytorch/test_gqa.py || test_fail "test_gqa.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_optimizer.xml $TE_PATH/tests/pytorch/test_fused_optimizer.py || test_fail "test_fused_optimizer.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_multi_tensor.xml $TE_PATH/tests/pytorch/test_multi_tensor.py || test_fail "test_multi_tensor.py"
NVTE_CUTEDSL_FUSED_GROUPED_MLP=1 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
NVTE_GROUPED_LINEAR_SINGLE_PARAM=1 NVTE_CUTEDSL_FUSED_GROUPED_MLP=1 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fusible_ops.xml $TE_PATH/tests/pytorch/test_fusible_ops.py || test_fail "test_fusible_ops.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_backward_override.xml $TE_PATH/tests/pytorch/test_backward_override.py || test_fail "test_backward_override.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_permutation.xml $TE_PATH/tests/pytorch/test_permutation.py || test_fail "test_permutation.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_parallel_cross_entropy.xml $TE_PATH/tests/pytorch/test_parallel_cross_entropy.py || test_fail "test_parallel_cross_entropy.py"
Expand All @@ -58,6 +58,8 @@ fi
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_checkpoint.xml $TE_PATH/tests/pytorch/test_checkpoint.py || test_fail "test_checkpoint.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_fused_router.xml $TE_PATH/tests/pytorch/test_fused_router.py || test_fail "test_fused_router.py"
python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_partial_cast.xml $TE_PATH/tests/pytorch/test_partial_cast.py || test_fail "test_partial_cast.py"
# Disable autotuning to make unittests faster. In addition, disable TF32 path to fully align with the pytorch reference implementation's precision
NVTE_DISABLE_TRITON_AUTOTUNING=1 NVIDIA_TF32_OVERRIDE=0 python3 -m pytest --tb=auto --junitxml=$XML_LOG_DIR/pytest_test_mhc.xml $TE_PATH/tests/pytorch/test_mhc.py || test_fail "test_mhc.py"

if [ "$RET" -ne 0 ]; then
echo "Error in the following test cases:$FAILED_CASES"
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3 changes: 3 additions & 0 deletions tests/cpp/operator/CMakeLists.txt
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Expand Up @@ -34,6 +34,7 @@ add_executable(test_operator
test_multi_unpadding.cu
test_causal_softmax.cu
test_swizzle.cu
test_multi_swizzle.cu
test_swap_first_dims.cu
test_grouped_gemm.cu #CUDA-only test
../test_common.cu)
Expand All @@ -44,6 +45,8 @@ if(USE_ROCM)
list(REMOVE_ITEM test_cuda_sources
test_cast_float8blockwise.cu
test_grouped_gemm.cu)
# Skip on ROCm for now; TODO: revisit on gfx1250 and re-enable these tests.
list(REMOVE_ITEM test_cuda_sources test_multi_swizzle.cu)
list(APPEND test_cuda_sources
test_dequantize_nvfp4.cu
test_cublaslt_gemm.cu
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