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  1. .gitattributes +18 -0
  2. build/torch210-cu126-x86_64-linux/__init__.py +26 -0
  3. build/torch210-cu126-x86_64-linux/_layer_norm_cuda_fe2bb66.abi3.so +3 -0
  4. build/torch210-cu126-x86_64-linux/_ops.py +9 -0
  5. build/torch210-cu126-x86_64-linux/layers.py +51 -0
  6. build/torch210-cu126-x86_64-linux/metadata.json +38 -0
  7. build/torch210-cu126-x86_64-linux/metadata.json.sigstore +1 -0
  8. build/torch210-cu126-x86_64-linux/symbols.json +361 -0
  9. build/torch210-cu128-x86_64-linux/__init__.py +26 -0
  10. build/torch210-cu128-x86_64-linux/_layer_norm_cuda_fe2bb66.abi3.so +3 -0
  11. build/torch210-cu128-x86_64-linux/_ops.py +9 -0
  12. build/torch210-cu128-x86_64-linux/layers.py +51 -0
  13. build/torch210-cu128-x86_64-linux/metadata.json +40 -0
  14. build/torch210-cu128-x86_64-linux/metadata.json.sigstore +1 -0
  15. build/torch210-cu128-x86_64-linux/symbols.json +361 -0
  16. build/torch210-cu130-x86_64-linux/__init__.py +26 -0
  17. build/torch210-cu130-x86_64-linux/_layer_norm_cuda_fe2bb66.abi3.so +3 -0
  18. build/torch210-cu130-x86_64-linux/_ops.py +9 -0
  19. build/torch210-cu130-x86_64-linux/layers.py +51 -0
  20. build/torch210-cu130-x86_64-linux/metadata.json +40 -0
  21. build/torch210-cu130-x86_64-linux/metadata.json.sigstore +1 -0
  22. build/torch210-cu130-x86_64-linux/symbols.json +361 -0
  23. build/torch211-cu126-x86_64-linux/__init__.py +26 -0
  24. build/torch211-cu126-x86_64-linux/_layer_norm_cuda_fe2bb66.abi3.so +3 -0
  25. build/torch211-cu126-x86_64-linux/_ops.py +9 -0
  26. build/torch211-cu126-x86_64-linux/layers.py +51 -0
  27. build/torch211-cu126-x86_64-linux/metadata.json +38 -0
  28. build/torch211-cu126-x86_64-linux/metadata.json.sigstore +1 -0
  29. build/torch211-cu126-x86_64-linux/symbols.json +361 -0
  30. build/torch211-cu128-x86_64-linux/__init__.py +26 -0
  31. build/torch211-cu128-x86_64-linux/_layer_norm_cuda_fe2bb66.abi3.so +3 -0
  32. build/torch211-cu128-x86_64-linux/_ops.py +9 -0
  33. build/torch211-cu128-x86_64-linux/layers.py +51 -0
  34. build/torch211-cu128-x86_64-linux/metadata.json +40 -0
  35. build/torch211-cu128-x86_64-linux/metadata.json.sigstore +1 -0
  36. build/torch211-cu128-x86_64-linux/symbols.json +361 -0
  37. build/torch211-cu130-x86_64-linux/__init__.py +26 -0
  38. build/torch211-cu130-x86_64-linux/_layer_norm_cuda_fe2bb66.abi3.so +3 -0
  39. build/torch211-cu130-x86_64-linux/_ops.py +9 -0
  40. build/torch211-cu130-x86_64-linux/layers.py +51 -0
  41. build/torch211-cu130-x86_64-linux/metadata.json +40 -0
  42. build/torch211-cu130-x86_64-linux/metadata.json.sigstore +1 -0
  43. build/torch211-cu130-x86_64-linux/symbols.json +361 -0
  44. build/torch212-cu126-x86_64-linux/__init__.py +26 -0
  45. build/torch212-cu126-x86_64-linux/_layer_norm_cuda_fe2bb66.abi3.so +3 -0
  46. build/torch212-cu126-x86_64-linux/_ops.py +9 -0
  47. build/torch212-cu126-x86_64-linux/layers.py +51 -0
  48. build/torch212-cu126-x86_64-linux/metadata.json +38 -0
  49. build/torch212-cu126-x86_64-linux/metadata.json.sigstore +1 -0
  50. build/torch212-cu126-x86_64-linux/symbols.json +361 -0
.gitattributes CHANGED
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+ build/torch210-cu126-x86_64-linux/_layer_norm_cuda_fe2bb66.abi3.so filter=lfs diff=lfs merge=lfs -text
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+ build/torch210-cu128-x86_64-linux/_layer_norm_cuda_fe2bb66.abi3.so filter=lfs diff=lfs merge=lfs -text
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+ build/torch211-cu126-x86_64-linux/_layer_norm_cuda_fe2bb66.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch210-cu126-x86_64-linux/__init__.py ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import torch
2
+ import torch.nn as nn
3
+
4
+ from ._ops import ops
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+
6
+ from . import layers
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+
8
+ def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
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+ return ops.dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm)
10
+
11
+ def dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm):
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+ return ops.dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm)
13
+
14
+ def dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm):
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+ return ops.dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm)
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+
17
+ def dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm):
18
+ return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
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+
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+ __all__ = [
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+ "layers",
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+ "dropout_add_ln_fwd",
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+ "dropout_add_ln_bwd",
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+ "dropout_add_ln_parallel_residual_fwd",
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+ "dropout_add_ln_parallel_residual_bwd",
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+ ]
build/torch210-cu126-x86_64-linux/_layer_norm_cuda_fe2bb66.abi3.so ADDED
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build/torch210-cu126-x86_64-linux/_ops.py ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
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+ import torch
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+ from . import _layer_norm_cuda_fe2bb66
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+ ops = torch.ops._layer_norm_cuda_fe2bb66
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+
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+ def add_op_namespace_prefix(op_name: str):
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+ """
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+ Prefix op by namespace.
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+ """
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+ return f"_layer_norm_cuda_fe2bb66::{op_name}"
build/torch210-cu126-x86_64-linux/layers.py ADDED
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+ import torch
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+ import torch.nn as nn
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+
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+ from ._ops import ops
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+
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+
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+ class LayerNorm(nn.Module):
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+ weight: torch.Tensor
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+ variance_epsilon: float
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+
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+ def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
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+ output = ops.dropout_add_ln_fwd(
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+ hidden_states.view(-1, hidden_states.shape[-1]),
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+ gamma = self.weight,
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+ beta = None,
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+ rowscale = None,
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+ colscale = None,
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+ x0_subset = None,
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+ z_subset = None,
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+ dropout_p = 0,
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+ epsilon = self.variance_epsilon,
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+ rowscale_const = 1.0,
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+ z_numrows = hidden_states.shape[1],
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+ gen = None,
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+ residual_in_fp32 = False,
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+ is_rms_norm = False,
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+ )
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+ return output[0].view(hidden_states.shape)
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+
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+ class LlamaRMSNorm(nn.Module):
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+ weight: torch.Tensor
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+ variance_epsilon: float
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+
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+ def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
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+ output = ops.dropout_add_ln_fwd(
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+ hidden_states.view(-1, hidden_states.shape[-1]),
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+ gamma = self.weight,
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+ beta = None,
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+ rowscale = None,
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+ colscale = None,
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+ x0_subset = None,
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+ z_subset = None,
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+ dropout_p = 0,
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+ epsilon = self.variance_epsilon,
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+ rowscale_const = 1.0,
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+ z_numrows = hidden_states.shape[1],
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+ gen = None,
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+ residual_in_fp32 = False,
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+ is_rms_norm = True,
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+ )
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+ return output[0].view(hidden_states.shape)
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+ import torch
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+ import torch.nn as nn
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+
4
+ from ._ops import ops
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+
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+ from . import layers
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+
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+ def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
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+ return ops.dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm)
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+
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+
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+
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+ return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
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+ __all__ = [
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+ "dropout_add_ln_fwd",
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+ "dropout_add_ln_bwd",
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+ "dropout_add_ln_parallel_residual_fwd",
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+
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+ def add_op_namespace_prefix(op_name: str):
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+ is_rms_norm = True,
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+ )
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+ return output[0].view(hidden_states.shape)
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+ import torch
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+ import torch.nn as nn
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+
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+
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+ from . import layers
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+
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+
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+ return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
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+ is_rms_norm = True,
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+ )
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+ return output[0].view(hidden_states.shape)
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+ import torch
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+ import torch.nn as nn
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+
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+
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+ from . import layers
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+
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+ def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
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+ return ops.dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm)
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+
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+
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+
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+ return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
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+ "dropout_add_ln_parallel_residual_fwd",
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build/torch211-cu126-x86_64-linux/_ops.py ADDED
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+ import torch
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+
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+ def add_op_namespace_prefix(op_name: str):
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+ weight: torch.Tensor
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+ variance_epsilon: float
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+ gen = None,
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+ residual_in_fp32 = False,
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+ is_rms_norm = True,
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+ )
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+ return output[0].view(hidden_states.shape)
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+ import torch
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+ import torch.nn as nn
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+
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+ from ._ops import ops
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+
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+ from . import layers
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+
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+ def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
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+
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+
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+ return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
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+ "dropout_add_ln_parallel_residual_fwd",
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+ is_rms_norm = True,
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+ )
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+ return output[0].view(hidden_states.shape)
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+ import torch.nn as nn
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+
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+
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+ is_rms_norm = True,
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+ )
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+ return output[0].view(hidden_states.shape)
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+ import torch
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+ import torch.nn as nn
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+
4
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+
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+ from . import layers
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+
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+ def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
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+
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+ return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
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+
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+ def add_op_namespace_prefix(op_name: str):
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+ is_rms_norm = True,
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+ )
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+ return output[0].view(hidden_states.shape)
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