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Thank you for all this work!
In the book, Chapter 12, page 209, where a "Hierarchical self-Attention Network" (HAN) model was introduced to handle heterogeneous graphs, the reference [5] (J. Liu, …
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(echomimic_v2) Z:\AI\echomimic_v2-main>python app.py
A matching Triton is not available, some optimizations will not be enabled
Traceback (most recent call last):
File "Z:\Users\Administrator\min…
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Hi @lucidrains,
Thanks for creating this wonderful package as well as `x-transformers`. I wanted to understand why rotary embeddings seem to be slower for me than absolute positional embeddings. I'm …
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# attention
q = q * self.scale # Normalization.
attn_logits = torch.einsum('bnd,bld->bln', q, k)
attn = self.softmax(attn_logits)
attn…
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### 🚀 The feature, motivation and pitch
Llama3.2 vision (Mllama) models requires model runner as "Enocoder_Decoder_Model_Runner"
which includes:
1. prepare "encoder_seq_lens" and "encoder_seq_len…
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## Description
I'm benchmarking naive FlashAttention in `Jax` vs. the Pallas's version of [`FA3`](https://github.com/jax-ml/jax/blob/7b9914d711593dca8725d46aa1dadb2194284519/jax/experimental/pallas…
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在运行demo阶段，无论是通过transformer还是modelscope方法，模型自动下载到.cache/hugggingface下，并且报错AssertionError: Only Support Self-Attention Currently
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hi, I want to know more about self attention in your work. Why this attention is necessary in your transformer working for stereo depth estimation? How self attention contribute to depth estimation?Wh…
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### 🐛 Describe the bug
Hi, I was testing FlexAttention by comparing its output with that of `nn.MultiheadAttention` and `torch.nn.functional.scaled_dot_product_attention`. In the end, I tracked down …
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您的论文中：
但是您的代码：
class MultiHeadSelfAttention(nn.Module):
def __init__(self, dim, num_heads):
s…