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[PyTorch Debug] Support log fp8 tensor stats for blockwise recipe #1905

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[PyTorch Debug] Support log fp8 tensor stats for blockwise recipe #1905

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[PyTorch Debug] Support log fp8 tensor stats for blockwise
lengerfulluse Jun 27, 2025
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[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jun 27, 2025
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13 changes: 12 additions & 1 deletion transformer_engine/debug/features/log_fp8_tensor_stats.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,8 +15,12 @@
from transformer_engine.debug.features.utils.stats_buffer import STATS_BUFFERS
from transformer_engine.pytorch.tensor import QuantizedTensor
from transformer_engine.pytorch.tensor.float8_tensor import Float8Tensor
from transformer_engine.pytorch.tensor.float8_blockwise_tensor import Float8BlockwiseQTensor
from transformer_engine.pytorch.tensor.mxfp8_tensor import MXFP8Tensor
from transformer_engine.pytorch.tensor._internal.float8_tensor_base import Float8TensorBase
from transformer_engine.pytorch.tensor._internal.float8_blockwise_tensor_base import (
Float8BlockwiseQTensorBase,
)
from transformer_engine.pytorch.tensor._internal.mxfp8_tensor_base import MXFP8TensorBase
from transformer_engine.debug.pytorch.debug_state import TEDebugState

Expand Down Expand Up @@ -110,7 +114,14 @@ def inspect_tensor_postquantize(
API call used to collect the data about the tensor after process_tensor()/quantization.
"""

assert type(tensor) in [Float8Tensor, Float8TensorBase, MXFP8Tensor, MXFP8TensorBase], (
assert type(tensor) in [
Float8Tensor,
Float8TensorBase,
MXFP8Tensor,
MXFP8TensorBase,
Float8BlockwiseQTensor,
Float8BlockwiseQTensorBase,
], (
f"[NVTORCH INSPECT ERROR] Tensor {tensor_name} must be a quantized tensor when using"
" log_fp8_tensor_stats. Use log_tensor_stats for high precision tensors."
)
Expand Down