Comments (2)
same issue: Exporting the operator 'quantized::batch_norm2d' to ONNX opset version 17 is not supported
from pytorch.
Same issue here when trying to perform QAT on a MobileNetV2-SSD and trying to convert it to ONNX.
from pytorch.
Related Issues (20)
- DISABLED test_flash_attention_vs_math_ref_grads_batch_size_1_seq_len_q_1024_seq_len_k_1024_head_dim_192_is_causal_True_dropout_p_0_22_float16_scale0_cuda_float16 (__main__.TestSDPACudaOnlyCUDA) HOT 2
- DISABLED test_flash_attention_vs_math_ref_grads_batch_size_1_seq_len_q_1024_seq_len_k_1024_head_dim_16_is_causal_False_dropout_p_0_48_bfloat16_scale0_cuda_bfloat16 (__main__.TestSDPACudaOnlyCUDA) HOT 1
- DISABLED test_flash_attention_vs_math_ref_grads_batch_size_1_seq_len_q_1024_seq_len_k_1024_head_dim_64_is_causal_False_dropout_p_0_48_float16_scale_l1_cuda_float16 (__main__.TestSDPACudaOnlyCUDA) HOT 1
- DISABLED test_flash_attention_vs_math_ref_grads_batch_size_1_seq_len_q_1024_seq_len_k_1024_head_dim_16_is_causal_False_dropout_p_0_0_bfloat16_scale_l1_cuda_bfloat16 (__main__.TestSDPACudaOnlyCUDA) HOT 4
- DISABLED test_flash_attention_vs_math_ref_grads_batch_size_1_seq_len_q_1024_seq_len_k_1024_head_dim_64_is_causal_True_dropout_p_0_48_bfloat16_scale0_cuda_bfloat16 (__main__.TestSDPACudaOnlyCUDA) HOT 1
- DISABLED test_flash_attention_vs_math_ref_grads_batch_size_1_seq_len_q_1024_seq_len_k_1024_head_dim_16_is_causal_True_dropout_p_0_48_bfloat16_scale0_cuda_bfloat16 (__main__.TestSDPACudaOnlyCUDA) HOT 1
- The empty 1D or more D tensor for `mode()` with the deepest `dim` doesn't work HOT 3
- Masked Attention has no effect in ``TransformerEncoderLayer``
- DISABLED test_sdp_math_gradcheck_contiguous_inputs_True_cuda (__main__.TestSDPACUDA) HOT 1
- torch.nonzero with known count to avoid host-device synchronization HOT 2
- FlashAttention IMA HOT 1
- An API to re-enable dynamo-disabled functions HOT 6
- [torch.compile][HF] torch.compile issue tracker for torch.compile on forward method of Meta Llama model HOT 3
- ONNX: wrong operator for ceil_mode Pooling in case of skip the last window HOT 1
- The empty 0D or more D tensor with exceeding `dim`(`dim=100` or `dim=-100`) for `cummin()` works
- The empty 0D or more D tensor with exceeding `dim`(`dim=100` or `dim=-100`) for `cummax()` works HOT 1
- Failing to export ONNX when `GroupNorm` input shape = 2 HOT 1
- The shape of weights in lstm seems to be wrong. HOT 1
- `input` argument of `nan_to_num()` works with `complex` type but `nan`, `posinf` and `neginf` argument don't work with `complex` type
- torch cuda-121 fails to load .so library HOT 2
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from pytorch.