P5: In-place RoPE — no x.clone(), no empty_like allocation
Eliminates 183 kernel launches per decoded token from pointless memcpy. Operates on rope dims in-place via views instead of cloning the full tensor and allocating an empty_like buffer.
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@@ -65,15 +65,25 @@ def build_rope_cache(max_pos, rope_dim, device, theta=10000., rope_type="default
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return torch.cos(angles).to(device), torch.sin(angles).to(device)
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def _apply_rope(x, pos, cos, sin, rope_dim, inverse=False):
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"""In-place RoPE — mutates x, no full clone, no empty_like allocation.
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P5: Eliminates x.clone() + empty_like per RoPE call.
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Old: 183 calls/token × 128KB clone = 23MB pointless memcpy + 183 kernel launches.
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New: Operates on the rope dims in-place, one slice copy back.
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"""
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T, nh, hd = x.shape; nope = hd - rope_dim
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if pos.device != cos.device: pos = pos.to(cos.device)
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c, s = cos[pos].unsqueeze(1), sin[pos].unsqueeze(1)
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xr = x[:, :, nope:].float(); ev, od = xr[..., 0::2], xr[..., 1::2]
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if inverse: rev, rod = ev*c + od*s, -ev*s + od*c
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else: rev, rod = ev*c - od*s, ev*s + od*c
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out = x.clone(); ro = torch.empty_like(xr)
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ro[..., 0::2], ro[..., 1::2] = rev, rod
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out[:, :, nope:] = ro.bfloat16(); return out
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xr = x[:, :, nope:] # view, not copy
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ev = xr[..., 0::2].clone() # need original ev for the mix
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od = xr[..., 1::2] # view; will be overwritten below
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if inverse:
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xr[..., 0::2] = (ev * c + od * s).bfloat16()
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xr[..., 1::2] = (-ev * s + od * c).bfloat16()
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else:
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xr[..., 0::2] = (ev * c - od * s).bfloat16()
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xr[..., 1::2] = (ev * s + od * c).bfloat16()
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return x # mutated in place
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# =====================================================================
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# Weight loading
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