Kernels
danieldk HF Staff commited on
Commit
e5dce58
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1 Parent(s): 64a7ea9

Build uploaded using `kernels`.

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Files changed (43) hide show
  1. build/torch210-cxx11-cpu-x86_64-linux/{_megablocks_660971e.abi3.so → _megablocks_cpu_dd32462.abi3.so} +2 -2
  2. build/torch210-cxx11-cpu-x86_64-linux/_ops.py +3 -3
  3. build/torch210-cxx11-cpu-x86_64-linux/layers.py +1 -1
  4. build/torch210-cxx11-cpu-x86_64-linux/metadata.json +1 -0
  5. build/torch210-cxx11-cu126-x86_64-linux/{_megablocks_660971e.abi3.so → _megablocks_cuda_dd32462.abi3.so} +2 -2
  6. build/torch210-cxx11-cu126-x86_64-linux/_ops.py +3 -3
  7. build/torch210-cxx11-cu126-x86_64-linux/layers.py +1 -1
  8. build/torch210-cxx11-cu126-x86_64-linux/metadata.json +16 -2
  9. build/torch210-cxx11-cu128-x86_64-linux/{_megablocks_660971e.abi3.so → _megablocks_cuda_dd32462.abi3.so} +2 -2
  10. build/torch210-cxx11-cu128-x86_64-linux/_ops.py +3 -3
  11. build/torch210-cxx11-cu128-x86_64-linux/layers.py +1 -1
  12. build/torch210-cxx11-cu128-x86_64-linux/metadata.json +19 -2
  13. build/torch210-cxx11-cu130-x86_64-linux/{_megablocks_660971e.abi3.so → _megablocks_cuda_dd32462.abi3.so} +2 -2
  14. build/torch210-cxx11-cu130-x86_64-linux/_ops.py +3 -3
  15. build/torch210-cxx11-cu130-x86_64-linux/layers.py +1 -1
  16. build/torch210-cxx11-cu130-x86_64-linux/metadata.json +16 -2
  17. build/torch210-cxx11-xpu20253-x86_64-linux/{_megablocks_660971e.abi3.so → _megablocks_xpu_dd32462.abi3.so} +2 -2
  18. build/torch210-cxx11-xpu20253-x86_64-linux/_ops.py +3 -3
  19. build/torch210-cxx11-xpu20253-x86_64-linux/layers.py +1 -1
  20. build/torch210-cxx11-xpu20253-x86_64-linux/metadata.json +1 -0
  21. build/torch29-cxx11-cpu-x86_64-linux/{_megablocks_660971e.abi3.so → _megablocks_cpu_dd32462.abi3.so} +2 -2
  22. build/torch29-cxx11-cpu-x86_64-linux/_ops.py +3 -3
  23. build/torch29-cxx11-cpu-x86_64-linux/layers.py +1 -1
  24. build/torch29-cxx11-cpu-x86_64-linux/metadata.json +1 -0
  25. build/torch29-cxx11-cu126-x86_64-linux/_megablocks_660971e.abi3.so +0 -3
  26. build/torch29-cxx11-cu126-x86_64-linux/_megablocks_cuda_dd32462.abi3.so +3 -0
  27. build/torch29-cxx11-cu126-x86_64-linux/_ops.py +3 -3
  28. build/torch29-cxx11-cu126-x86_64-linux/layers.py +1 -1
  29. build/torch29-cxx11-cu126-x86_64-linux/metadata.json +16 -2
  30. build/torch29-cxx11-cu128-x86_64-linux/_megablocks_660971e.abi3.so +0 -3
  31. build/torch29-cxx11-cu128-x86_64-linux/_megablocks_cuda_dd32462.abi3.so +3 -0
  32. build/torch29-cxx11-cu128-x86_64-linux/_ops.py +3 -3
  33. build/torch29-cxx11-cu128-x86_64-linux/layers.py +1 -1
  34. build/torch29-cxx11-cu128-x86_64-linux/metadata.json +19 -2
  35. build/torch29-cxx11-cu130-x86_64-linux/_megablocks_660971e.abi3.so +0 -3
  36. build/torch29-cxx11-cu130-x86_64-linux/_megablocks_cuda_dd32462.abi3.so +3 -0
  37. build/torch29-cxx11-cu130-x86_64-linux/_ops.py +3 -3
  38. build/torch29-cxx11-cu130-x86_64-linux/layers.py +1 -1
  39. build/torch29-cxx11-cu130-x86_64-linux/metadata.json +16 -2
  40. build/torch29-cxx11-xpu20252-x86_64-linux/{_megablocks_660971e.abi3.so → _megablocks_xpu_dd32462.abi3.so} +2 -2
  41. build/torch29-cxx11-xpu20252-x86_64-linux/_ops.py +3 -3
  42. build/torch29-cxx11-xpu20252-x86_64-linux/layers.py +1 -1
  43. build/torch29-cxx11-xpu20252-x86_64-linux/metadata.json +1 -0
build/torch210-cxx11-cpu-x86_64-linux/{_megablocks_660971e.abi3.so → _megablocks_cpu_dd32462.abi3.so} RENAMED
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build/torch210-cxx11-cpu-x86_64-linux/_ops.py CHANGED
@@ -1,9 +1,9 @@
1
  import torch
2
- from . import _megablocks_660971e
3
- ops = torch.ops._megablocks_660971e
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
- return f"_megablocks_660971e::{op_name}"
 
1
  import torch
2
+ from . import _megablocks_cpu_dd32462
3
+ ops = torch.ops._megablocks_cpu_dd32462
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
+ return f"_megablocks_cpu_dd32462::{op_name}"
build/torch210-cxx11-cpu-x86_64-linux/layers.py CHANGED
@@ -39,7 +39,7 @@ def _install_meta_kernels():
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
- print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
 
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
+ # print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
build/torch210-cxx11-cpu-x86_64-linux/metadata.json CHANGED
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build/torch210-cxx11-cu126-x86_64-linux/{_megablocks_660971e.abi3.so → _megablocks_cuda_dd32462.abi3.so} RENAMED
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build/torch210-cxx11-cu126-x86_64-linux/_ops.py CHANGED
@@ -1,9 +1,9 @@
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  import torch
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- from . import _megablocks_660971e
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- ops = torch.ops._megablocks_660971e
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5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
- return f"_megablocks_660971e::{op_name}"
 
1
  import torch
2
+ from . import _megablocks_cuda_dd32462
3
+ ops = torch.ops._megablocks_cuda_dd32462
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
+ return f"_megablocks_cuda_dd32462::{op_name}"
build/torch210-cxx11-cu126-x86_64-linux/layers.py CHANGED
@@ -39,7 +39,7 @@ def _install_meta_kernels():
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
- print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
 
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
+ # print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
build/torch210-cxx11-cu126-x86_64-linux/metadata.json CHANGED
@@ -1,4 +1,18 @@
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build/torch210-cxx11-cu128-x86_64-linux/{_megablocks_660971e.abi3.so → _megablocks_cuda_dd32462.abi3.so} RENAMED
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build/torch210-cxx11-cu128-x86_64-linux/_ops.py CHANGED
@@ -1,9 +1,9 @@
1
  import torch
2
- from . import _megablocks_660971e
3
- ops = torch.ops._megablocks_660971e
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
- return f"_megablocks_660971e::{op_name}"
 
1
  import torch
2
+ from . import _megablocks_cuda_dd32462
3
+ ops = torch.ops._megablocks_cuda_dd32462
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
+ return f"_megablocks_cuda_dd32462::{op_name}"
build/torch210-cxx11-cu128-x86_64-linux/layers.py CHANGED
@@ -39,7 +39,7 @@ def _install_meta_kernels():
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
- print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
 
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
+ # print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
build/torch210-cxx11-cu128-x86_64-linux/metadata.json CHANGED
@@ -1,4 +1,21 @@
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  "version": 1,
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- "python-depends": []
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build/torch210-cxx11-cu130-x86_64-linux/{_megablocks_660971e.abi3.so → _megablocks_cuda_dd32462.abi3.so} RENAMED
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build/torch210-cxx11-cu130-x86_64-linux/_ops.py CHANGED
@@ -1,9 +1,9 @@
1
  import torch
2
- from . import _megablocks_660971e
3
- ops = torch.ops._megablocks_660971e
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
- return f"_megablocks_660971e::{op_name}"
 
1
  import torch
2
+ from . import _megablocks_cuda_dd32462
3
+ ops = torch.ops._megablocks_cuda_dd32462
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
+ return f"_megablocks_cuda_dd32462::{op_name}"
build/torch210-cxx11-cu130-x86_64-linux/layers.py CHANGED
@@ -39,7 +39,7 @@ def _install_meta_kernels():
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
- print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
 
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
+ # print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
build/torch210-cxx11-cu130-x86_64-linux/metadata.json CHANGED
@@ -1,4 +1,18 @@
1
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build/torch210-cxx11-xpu20253-x86_64-linux/{_megablocks_660971e.abi3.so → _megablocks_xpu_dd32462.abi3.so} RENAMED
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build/torch210-cxx11-xpu20253-x86_64-linux/_ops.py CHANGED
@@ -1,9 +1,9 @@
1
  import torch
2
- from . import _megablocks_660971e
3
- ops = torch.ops._megablocks_660971e
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
- return f"_megablocks_660971e::{op_name}"
 
1
  import torch
2
+ from . import _megablocks_xpu_dd32462
3
+ ops = torch.ops._megablocks_xpu_dd32462
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
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build/torch210-cxx11-xpu20253-x86_64-linux/layers.py CHANGED
@@ -39,7 +39,7 @@ def _install_meta_kernels():
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
- print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
 
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
+ # print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
build/torch210-cxx11-xpu20253-x86_64-linux/metadata.json CHANGED
@@ -1,4 +1,5 @@
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build/torch29-cxx11-cpu-x86_64-linux/{_megablocks_660971e.abi3.so → _megablocks_cpu_dd32462.abi3.so} RENAMED
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3
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4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
- return f"_megablocks_660971e::{op_name}"
 
1
  import torch
2
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3
+ ops = torch.ops._megablocks_cpu_dd32462
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
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build/torch29-cxx11-cpu-x86_64-linux/layers.py CHANGED
@@ -39,7 +39,7 @@ def _install_meta_kernels():
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
- print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
 
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
+ # print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
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1
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5
  def add_op_namespace_prefix(op_name: str):
6
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7
  Prefix op by namespace.
8
  """
9
- return f"_megablocks_660971e::{op_name}"
 
1
  import torch
2
+ from . import _megablocks_cuda_dd32462
3
+ ops = torch.ops._megablocks_cuda_dd32462
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
+ return f"_megablocks_cuda_dd32462::{op_name}"
build/torch29-cxx11-cu126-x86_64-linux/layers.py CHANGED
@@ -39,7 +39,7 @@ def _install_meta_kernels():
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
- print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
 
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
+ # print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
build/torch29-cxx11-cu126-x86_64-linux/metadata.json CHANGED
@@ -1,4 +1,18 @@
1
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2
  "version": 1,
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- "python-depends": []
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- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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build/torch29-cxx11-cu128-x86_64-linux/_megablocks_660971e.abi3.so DELETED
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build/torch29-cxx11-cu128-x86_64-linux/_megablocks_cuda_dd32462.abi3.so ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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build/torch29-cxx11-cu128-x86_64-linux/_ops.py CHANGED
@@ -1,9 +1,9 @@
1
  import torch
2
- from . import _megablocks_660971e
3
- ops = torch.ops._megablocks_660971e
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
- return f"_megablocks_660971e::{op_name}"
 
1
  import torch
2
+ from . import _megablocks_cuda_dd32462
3
+ ops = torch.ops._megablocks_cuda_dd32462
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
+ return f"_megablocks_cuda_dd32462::{op_name}"
build/torch29-cxx11-cu128-x86_64-linux/layers.py CHANGED
@@ -39,7 +39,7 @@ def _install_meta_kernels():
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
- print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
 
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
+ # print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
build/torch29-cxx11-cu128-x86_64-linux/metadata.json CHANGED
@@ -1,4 +1,21 @@
1
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2
  "version": 1,
3
- "python-depends": []
4
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build/torch29-cxx11-cu130-x86_64-linux/_megablocks_660971e.abi3.so DELETED
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build/torch29-cxx11-cu130-x86_64-linux/_megablocks_cuda_dd32462.abi3.so ADDED
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build/torch29-cxx11-cu130-x86_64-linux/_ops.py CHANGED
@@ -1,9 +1,9 @@
1
  import torch
2
- from . import _megablocks_660971e
3
- ops = torch.ops._megablocks_660971e
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
- return f"_megablocks_660971e::{op_name}"
 
1
  import torch
2
+ from . import _megablocks_cuda_dd32462
3
+ ops = torch.ops._megablocks_cuda_dd32462
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
+ return f"_megablocks_cuda_dd32462::{op_name}"
build/torch29-cxx11-cu130-x86_64-linux/layers.py CHANGED
@@ -39,7 +39,7 @@ def _install_meta_kernels():
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
- print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
 
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
+ # print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
build/torch29-cxx11-cu130-x86_64-linux/metadata.json CHANGED
@@ -1,4 +1,18 @@
1
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2
  "version": 1,
3
- "python-depends": []
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build/torch29-cxx11-xpu20252-x86_64-linux/{_megablocks_660971e.abi3.so → _megablocks_xpu_dd32462.abi3.so} RENAMED
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build/torch29-cxx11-xpu20252-x86_64-linux/_ops.py CHANGED
@@ -1,9 +1,9 @@
1
  import torch
2
- from . import _megablocks_660971e
3
- ops = torch.ops._megablocks_660971e
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
- return f"_megablocks_660971e::{op_name}"
 
1
  import torch
2
+ from . import _megablocks_xpu_dd32462
3
+ ops = torch.ops._megablocks_xpu_dd32462
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
+ return f"_megablocks_xpu_dd32462::{op_name}"
build/torch29-cxx11-xpu20252-x86_64-linux/layers.py CHANGED
@@ -39,7 +39,7 @@ def _install_meta_kernels():
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
- print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
 
39
 
40
  def sort_with_meta(x, end_bit=None):
41
  if torch.compiler.is_compiling():
42
+ # print("Using meta kernel for sort")
43
  # Meta implementation - return tensors with correct shape/dtype/device
44
  return torch.empty_like(x), torch.empty_like(x)
45
  # print("Using original sort kernel")
build/torch29-cxx11-xpu20252-x86_64-linux/metadata.json CHANGED
@@ -1,4 +1,5 @@
1
  {
2
  "version": 1,
 
3
  "python-depends": []
4
  }
 
1
  {
2
  "version": 1,
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4
  "python-depends": []
5
  }