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2 changed files with 6 additions and 6 deletions
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@ -27,10 +27,10 @@ def _forward_kernel(e, g, h, n_elements, BLOCK_SIZE : tl.constexpr,):
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# f = 1/2 * e * (1 + erf(1/sqrt(2) * e))
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# h = f * up
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e_row = tl.load(e + offsets, mask = mask, other = 0).to(tl.float32)
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g_row = tl.load(g + offsets, mask = mask, other = 0).to(tl.float32)
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g_row = tl.load(g + offsets, mask = mask, other = 0)#.to(tl.float32)
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f_row = 0.5 * e_row * (tl.math.erf(tl.math.rsqrt(2.0) * e_row) + 1.0)
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# f_row = f_row.to(g_row.dtype) # Exact copy from HF
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f_row = f_row.to(g_row.dtype) # Exact copy from HF
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h_row = f_row * g_row
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# Store h
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@ -64,16 +64,16 @@ def _backward_kernel(DW, e, g, n_elements, BLOCK_SIZE : tl.constexpr,):
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offsets = block_idx*BLOCK_SIZE + tl.arange(0, BLOCK_SIZE)
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mask = offsets < n_elements
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DW_row = tl.load(DW + offsets, mask = mask, other = 0).to(tl.float32)
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DW_row = tl.load(DW + offsets, mask = mask, other = 0)#.to(tl.float32)
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e_row = tl.load(e + offsets, mask = mask, other = 0).to(tl.float32)
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g_row = tl.load(g + offsets, mask = mask, other = 0).to(tl.float32)
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g_row = tl.load(g + offsets, mask = mask, other = 0)#.to(tl.float32)
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# Break e_row away for re-use
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# f = 1/2 * e * (1 + erf(1/sqrt(2) * e))
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f_partial_row = 0.5 * (tl.math.erf(tl.math.rsqrt(2.0) * e_row) + 1.0)
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f_row = f_partial_row * e_row
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# f_row = f_row.to(DW_row.dtype)
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f_row = f_row.to(DW_row.dtype)
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# h = f * g
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h_row = f_row * g_row
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# df = DW * f
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@ -1400,7 +1400,7 @@ class FastLlamaModel:
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(down_proj.base_layer if hasattr(down_proj, "base_layer") else down_proj).bias is None:
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# https://stackoverflow.com/questions/50599045/python-replacing-a-function-within-a-class-of-a-module
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layer.mlp.forward = types.MethodType(apply_lora_mlp, layer.mlp)
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# layer.mlp.forward = types.MethodType(apply_lora_mlp, layer.mlp)
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n_mlp += 1
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else:
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logger.warning_once(
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