Kernels:
Trusted publisher
Uploaded using `kernel-builder`.
Browse files- .gitattributes +6 -0
- build/torch210-cpu-x86_64-linux/_ops.py +3 -3
- build/torch210-cpu-x86_64-linux/{_rmsnorm_cpu_59ac2f9.abi3.so → _rmsnorm_cpu_5fe9dbb.abi3.so} +1 -1
- build/torch210-cpu-x86_64-linux/metadata.json +6 -6
- build/torch210-cpu-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch210-cpu-x86_64-linux/symbols.json +4 -4
- build/torch211-cpu-x86_64-linux/_ops.py +3 -3
- build/torch211-cpu-x86_64-linux/{_rmsnorm_cpu_59ac2f9.abi3.so → _rmsnorm_cpu_5fe9dbb.abi3.so} +1 -1
- build/torch211-cpu-x86_64-linux/metadata.json +6 -6
- build/torch211-cpu-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch211-cpu-x86_64-linux/symbols.json +4 -4
- build/torch212-cpu-x86_64-linux/_ops.py +3 -3
- build/torch212-cpu-x86_64-linux/{_rmsnorm_cpu_59ac2f9.abi3.so → _rmsnorm_cpu_5fe9dbb.abi3.so} +1 -1
- build/torch212-cpu-x86_64-linux/metadata.json +6 -6
- build/torch212-cpu-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch212-cpu-x86_64-linux/symbols.json +4 -4
- build/torch213-cpu-x86_64-linux/_ops.py +3 -3
- build/{torch214-cpu-x86_64-linux/_rmsnorm_cpu_59ac2f9.abi3.so → torch213-cpu-x86_64-linux/_rmsnorm_cpu_5fe9dbb.abi3.so} +1 -1
- build/torch213-cpu-x86_64-linux/metadata.json +6 -6
- build/torch213-cpu-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch213-cpu-x86_64-linux/symbols.json +4 -4
- build/torch214-cpu-x86_64-linux/_ops.py +3 -3
- build/{torch215-cpu-x86_64-linux/_rmsnorm_cpu_59ac2f9.abi3.so → torch214-cpu-x86_64-linux/_rmsnorm_cpu_5fe9dbb.abi3.so} +1 -1
- build/torch214-cpu-x86_64-linux/metadata.json +6 -6
- build/torch214-cpu-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch214-cpu-x86_64-linux/symbols.json +4 -4
- build/torch215-cpu-x86_64-linux/_ops.py +3 -3
- build/{torch213-cpu-x86_64-linux/_rmsnorm_cpu_59ac2f9.abi3.so → torch215-cpu-x86_64-linux/_rmsnorm_cpu_5fe9dbb.abi3.so} +1 -1
- build/torch215-cpu-x86_64-linux/metadata.json +6 -6
- build/torch215-cpu-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch215-cpu-x86_64-linux/symbols.json +4 -4
.gitattributes
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@@ -167,3 +167,9 @@ build/torch212-xpu20253-x86_64-linux/_rmsnorm_xpu_5fe9dbb.abi3.so filter=lfs dif
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build/torch213-xpu20260-x86_64-linux/_rmsnorm_xpu_5fe9dbb.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch214-xpu20261-x86_64-linux/_rmsnorm_xpu_5fe9dbb.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch215-xpu20261-x86_64-linux/_rmsnorm_xpu_5fe9dbb.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-xpu20260-x86_64-linux/_rmsnorm_xpu_5fe9dbb.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch214-xpu20261-x86_64-linux/_rmsnorm_xpu_5fe9dbb.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch215-xpu20261-x86_64-linux/_rmsnorm_xpu_5fe9dbb.abi3.so filter=lfs diff=lfs merge=lfs -text
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+
build/torch210-cpu-x86_64-linux/_rmsnorm_cpu_5fe9dbb.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch211-cpu-x86_64-linux/_rmsnorm_cpu_5fe9dbb.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cpu-x86_64-linux/_rmsnorm_cpu_5fe9dbb.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cpu-x86_64-linux/_rmsnorm_cpu_5fe9dbb.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch214-cpu-x86_64-linux/_rmsnorm_cpu_5fe9dbb.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch215-cpu-x86_64-linux/_rmsnorm_cpu_5fe9dbb.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch210-cpu-x86_64-linux/_ops.py
CHANGED
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@@ -1,9 +1,9 @@
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import torch
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from . import
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ops = torch.ops.
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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"
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import torch
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+
from . import _rmsnorm_cpu_5fe9dbb
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ops = torch.ops._rmsnorm_cpu_5fe9dbb
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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"_rmsnorm_cpu_5fe9dbb::{op_name}"
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build/torch210-cpu-x86_64-linux/{_rmsnorm_cpu_59ac2f9.abi3.so → _rmsnorm_cpu_5fe9dbb.abi3.so}
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build/torch210-cpu-x86_64-linux/metadata.json
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@@ -1,6 +1,6 @@
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"name": "rmsnorm",
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build/torch210-cpu-x86_64-linux/metadata.json.sigstore
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build/torch210-cpu-x86_64-linux/symbols.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"schema_version": 1,
|
| 3 |
-
"module": "
|
| 4 |
"functions": [
|
| 5 |
{
|
| 6 |
"name": "apply_rms_norm",
|
| 7 |
"qualname": "apply_rms_norm",
|
| 8 |
-
"module": "
|
| 9 |
"kind": "function",
|
| 10 |
"doc": null,
|
| 11 |
"signature": {
|
|
@@ -35,7 +35,7 @@
|
|
| 35 |
{
|
| 36 |
"name": "apply_rms_norm_backward",
|
| 37 |
"qualname": "apply_rms_norm_backward",
|
| 38 |
-
"module": "
|
| 39 |
"kind": "function",
|
| 40 |
"doc": null,
|
| 41 |
"signature": {
|
|
@@ -97,7 +97,7 @@
|
|
| 97 |
{
|
| 98 |
"name": "RMSNorm",
|
| 99 |
"qualname": "RMSNorm",
|
| 100 |
-
"module": "
|
| 101 |
"kind": "class",
|
| 102 |
"doc": "RMSNorm module that uses the optimized LigerRMSNormFunction.\n\nArgs:\n hidden_size (int): The size of the hidden dimension.\n eps (float, optional): The epsilon value for numerical stability. Defaults to 1e-6.\n offset (float, optional): Offset value to shift the weight tensor. Defaults to 0.0.\n casting_mode (str, optional): The casting mode to use. Defaults to \"llama\".\n in_place (bool, optional): Whether to modify dY in-place to store dX during backward. Defaults to True.",
|
| 103 |
"signature": {
|
|
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{
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{
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"module": "_rmsnorm_cpu_5fe9dbb.layers",
|
| 101 |
"kind": "class",
|
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"doc": "RMSNorm module that uses the optimized LigerRMSNormFunction.\n\nArgs:\n hidden_size (int): The size of the hidden dimension.\n eps (float, optional): The epsilon value for numerical stability. Defaults to 1e-6.\n offset (float, optional): Offset value to shift the weight tensor. Defaults to 0.0.\n casting_mode (str, optional): The casting mode to use. Defaults to \"llama\".\n in_place (bool, optional): Whether to modify dY in-place to store dX during backward. Defaults to True.",
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build/torch211-cpu-x86_64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
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| 2 |
-
from . import
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-
ops = torch.ops.
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| 4 |
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| 5 |
def add_op_namespace_prefix(op_name: str):
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| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _rmsnorm_cpu_5fe9dbb
|
| 3 |
+
ops = torch.ops._rmsnorm_cpu_5fe9dbb
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
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| 9 |
+
return f"_rmsnorm_cpu_5fe9dbb::{op_name}"
|
build/torch211-cpu-x86_64-linux/{_rmsnorm_cpu_59ac2f9.abi3.so → _rmsnorm_cpu_5fe9dbb.abi3.so}
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|
build/torch211-cpu-x86_64-linux/symbols.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"schema_version": 1,
|
| 3 |
-
"module": "
|
| 4 |
"functions": [
|
| 5 |
{
|
| 6 |
"name": "apply_rms_norm",
|
| 7 |
"qualname": "apply_rms_norm",
|
| 8 |
-
"module": "
|
| 9 |
"kind": "function",
|
| 10 |
"doc": null,
|
| 11 |
"signature": {
|
|
@@ -35,7 +35,7 @@
|
|
| 35 |
{
|
| 36 |
"name": "apply_rms_norm_backward",
|
| 37 |
"qualname": "apply_rms_norm_backward",
|
| 38 |
-
"module": "
|
| 39 |
"kind": "function",
|
| 40 |
"doc": null,
|
| 41 |
"signature": {
|
|
@@ -97,7 +97,7 @@
|
|
| 97 |
{
|
| 98 |
"name": "RMSNorm",
|
| 99 |
"qualname": "RMSNorm",
|
| 100 |
-
"module": "
|
| 101 |
"kind": "class",
|
| 102 |
"doc": "RMSNorm module that uses the optimized LigerRMSNormFunction.\n\nArgs:\n hidden_size (int): The size of the hidden dimension.\n eps (float, optional): The epsilon value for numerical stability. Defaults to 1e-6.\n offset (float, optional): Offset value to shift the weight tensor. Defaults to 0.0.\n casting_mode (str, optional): The casting mode to use. Defaults to \"llama\".\n in_place (bool, optional): Whether to modify dY in-place to store dX during backward. Defaults to True.",
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{
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| 36 |
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build/torch212-cpu-x86_64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
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| 1 |
import torch
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from . import
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ops = torch.ops.
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| 4 |
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| 5 |
def add_op_namespace_prefix(op_name: str):
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| 6 |
"""
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| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
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|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _rmsnorm_cpu_5fe9dbb
|
| 3 |
+
ops = torch.ops._rmsnorm_cpu_5fe9dbb
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
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| 8 |
"""
|
| 9 |
+
return f"_rmsnorm_cpu_5fe9dbb::{op_name}"
|
build/torch212-cpu-x86_64-linux/{_rmsnorm_cpu_59ac2f9.abi3.so → _rmsnorm_cpu_5fe9dbb.abi3.so}
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|
build/torch212-cpu-x86_64-linux/symbols.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"schema_version": 1,
|
| 3 |
-
"module": "
|
| 4 |
"functions": [
|
| 5 |
{
|
| 6 |
"name": "apply_rms_norm",
|
| 7 |
"qualname": "apply_rms_norm",
|
| 8 |
-
"module": "
|
| 9 |
"kind": "function",
|
| 10 |
"doc": null,
|
| 11 |
"signature": {
|
|
@@ -35,7 +35,7 @@
|
|
| 35 |
{
|
| 36 |
"name": "apply_rms_norm_backward",
|
| 37 |
"qualname": "apply_rms_norm_backward",
|
| 38 |
-
"module": "
|
| 39 |
"kind": "function",
|
| 40 |
"doc": null,
|
| 41 |
"signature": {
|
|
@@ -97,7 +97,7 @@
|
|
| 97 |
{
|
| 98 |
"name": "RMSNorm",
|
| 99 |
"qualname": "RMSNorm",
|
| 100 |
-
"module": "
|
| 101 |
"kind": "class",
|
| 102 |
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build/torch213-cpu-x86_64-linux/_ops.py
CHANGED
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@@ -1,9 +1,9 @@
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| 1 |
import torch
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from . import
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ops = torch.ops.
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| 4 |
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| 5 |
def add_op_namespace_prefix(op_name: str):
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| 6 |
"""
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| 7 |
Prefix op by namespace.
|
| 8 |
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| 9 |
-
return f"
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|
|
| 1 |
import torch
|
| 2 |
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from . import _rmsnorm_cpu_5fe9dbb
|
| 3 |
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ops = torch.ops._rmsnorm_cpu_5fe9dbb
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
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| 8 |
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build/{torch214-cpu-x86_64-linux/_rmsnorm_cpu_59ac2f9.abi3.so → torch213-cpu-x86_64-linux/_rmsnorm_cpu_5fe9dbb.abi3.so}
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build/torch213-cpu-x86_64-linux/symbols.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"schema_version": 1,
|
| 3 |
-
"module": "
|
| 4 |
"functions": [
|
| 5 |
{
|
| 6 |
"name": "apply_rms_norm",
|
| 7 |
"qualname": "apply_rms_norm",
|
| 8 |
-
"module": "
|
| 9 |
"kind": "function",
|
| 10 |
"doc": null,
|
| 11 |
"signature": {
|
|
@@ -35,7 +35,7 @@
|
|
| 35 |
{
|
| 36 |
"name": "apply_rms_norm_backward",
|
| 37 |
"qualname": "apply_rms_norm_backward",
|
| 38 |
-
"module": "
|
| 39 |
"kind": "function",
|
| 40 |
"doc": null,
|
| 41 |
"signature": {
|
|
@@ -97,7 +97,7 @@
|
|
| 97 |
{
|
| 98 |
"name": "RMSNorm",
|
| 99 |
"qualname": "RMSNorm",
|
| 100 |
-
"module": "
|
| 101 |
"kind": "class",
|
| 102 |
"doc": "RMSNorm module that uses the optimized LigerRMSNormFunction.\n\nArgs:\n hidden_size (int): The size of the hidden dimension.\n eps (float, optional): The epsilon value for numerical stability. Defaults to 1e-6.\n offset (float, optional): Offset value to shift the weight tensor. Defaults to 0.0.\n casting_mode (str, optional): The casting mode to use. Defaults to \"llama\".\n in_place (bool, optional): Whether to modify dY in-place to store dX during backward. Defaults to True.",
|
| 103 |
"signature": {
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|
|
|
| 1 |
{
|
| 2 |
"schema_version": 1,
|
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{
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| 38 |
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"doc": "RMSNorm module that uses the optimized LigerRMSNormFunction.\n\nArgs:\n hidden_size (int): The size of the hidden dimension.\n eps (float, optional): The epsilon value for numerical stability. Defaults to 1e-6.\n offset (float, optional): Offset value to shift the weight tensor. Defaults to 0.0.\n casting_mode (str, optional): The casting mode to use. Defaults to \"llama\".\n in_place (bool, optional): Whether to modify dY in-place to store dX during backward. Defaults to True.",
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build/torch214-cpu-x86_64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
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| 1 |
import torch
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from . import
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ops = torch.ops.
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| 4 |
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| 5 |
def add_op_namespace_prefix(op_name: str):
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| 6 |
"""
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| 7 |
Prefix op by namespace.
|
| 8 |
"""
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| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _rmsnorm_cpu_5fe9dbb
|
| 3 |
+
ops = torch.ops._rmsnorm_cpu_5fe9dbb
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
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| 8 |
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build/{torch215-cpu-x86_64-linux/_rmsnorm_cpu_59ac2f9.abi3.so → torch214-cpu-x86_64-linux/_rmsnorm_cpu_5fe9dbb.abi3.so}
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|
build/torch214-cpu-x86_64-linux/symbols.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"schema_version": 1,
|
| 3 |
-
"module": "
|
| 4 |
"functions": [
|
| 5 |
{
|
| 6 |
"name": "apply_rms_norm",
|
| 7 |
"qualname": "apply_rms_norm",
|
| 8 |
-
"module": "
|
| 9 |
"kind": "function",
|
| 10 |
"doc": null,
|
| 11 |
"signature": {
|
|
@@ -35,7 +35,7 @@
|
|
| 35 |
{
|
| 36 |
"name": "apply_rms_norm_backward",
|
| 37 |
"qualname": "apply_rms_norm_backward",
|
| 38 |
-
"module": "
|
| 39 |
"kind": "function",
|
| 40 |
"doc": null,
|
| 41 |
"signature": {
|
|
@@ -97,7 +97,7 @@
|
|
| 97 |
{
|
| 98 |
"name": "RMSNorm",
|
| 99 |
"qualname": "RMSNorm",
|
| 100 |
-
"module": "
|
| 101 |
"kind": "class",
|
| 102 |
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build/torch215-cpu-x86_64-linux/_ops.py
CHANGED
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@@ -1,9 +1,9 @@
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| 1 |
import torch
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from . import
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ops = torch.ops.
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| 4 |
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| 5 |
def add_op_namespace_prefix(op_name: str):
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| 6 |
"""
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| 7 |
Prefix op by namespace.
|
| 8 |
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| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
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from . import _rmsnorm_cpu_5fe9dbb
|
| 3 |
+
ops = torch.ops._rmsnorm_cpu_5fe9dbb
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
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| 8 |
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build/{torch213-cpu-x86_64-linux/_rmsnorm_cpu_59ac2f9.abi3.so → torch215-cpu-x86_64-linux/_rmsnorm_cpu_5fe9dbb.abi3.so}
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|
build/torch215-cpu-x86_64-linux/symbols.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"schema_version": 1,
|
| 3 |
-
"module": "
|
| 4 |
"functions": [
|
| 5 |
{
|
| 6 |
"name": "apply_rms_norm",
|
| 7 |
"qualname": "apply_rms_norm",
|
| 8 |
-
"module": "
|
| 9 |
"kind": "function",
|
| 10 |
"doc": null,
|
| 11 |
"signature": {
|
|
@@ -35,7 +35,7 @@
|
|
| 35 |
{
|
| 36 |
"name": "apply_rms_norm_backward",
|
| 37 |
"qualname": "apply_rms_norm_backward",
|
| 38 |
-
"module": "
|
| 39 |
"kind": "function",
|
| 40 |
"doc": null,
|
| 41 |
"signature": {
|
|
@@ -97,7 +97,7 @@
|
|
| 97 |
{
|
| 98 |
"name": "RMSNorm",
|
| 99 |
"qualname": "RMSNorm",
|
| 100 |
-
"module": "
|
| 101 |
"kind": "class",
|
| 102 |
"doc": "RMSNorm module that uses the optimized LigerRMSNormFunction.\n\nArgs:\n hidden_size (int): The size of the hidden dimension.\n eps (float, optional): The epsilon value for numerical stability. Defaults to 1e-6.\n offset (float, optional): Offset value to shift the weight tensor. Defaults to 0.0.\n casting_mode (str, optional): The casting mode to use. Defaults to \"llama\".\n in_place (bool, optional): Whether to modify dY in-place to store dX during backward. Defaults to True.",
|
| 103 |
"signature": {
|
|
|
|
| 1 |
{
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| 2 |
"schema_version": 1,
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| 3 |
+
"module": "_rmsnorm_cpu_5fe9dbb",
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| 4 |
"functions": [
|
| 5 |
{
|
| 6 |
"name": "apply_rms_norm",
|
| 7 |
"qualname": "apply_rms_norm",
|
| 8 |
+
"module": "_rmsnorm_cpu_5fe9dbb",
|
| 9 |
"kind": "function",
|
| 10 |
"doc": null,
|
| 11 |
"signature": {
|
|
|
|
| 35 |
{
|
| 36 |
"name": "apply_rms_norm_backward",
|
| 37 |
"qualname": "apply_rms_norm_backward",
|
| 38 |
+
"module": "_rmsnorm_cpu_5fe9dbb",
|
| 39 |
"kind": "function",
|
| 40 |
"doc": null,
|
| 41 |
"signature": {
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|
|
|
| 97 |
{
|
| 98 |
"name": "RMSNorm",
|
| 99 |
"qualname": "RMSNorm",
|
| 100 |
+
"module": "_rmsnorm_cpu_5fe9dbb.layers",
|
| 101 |
"kind": "class",
|
| 102 |
"doc": "RMSNorm module that uses the optimized LigerRMSNormFunction.\n\nArgs:\n hidden_size (int): The size of the hidden dimension.\n eps (float, optional): The epsilon value for numerical stability. Defaults to 1e-6.\n offset (float, optional): Offset value to shift the weight tensor. Defaults to 0.0.\n casting_mode (str, optional): The casting mode to use. Defaults to \"llama\".\n in_place (bool, optional): Whether to modify dY in-place to store dX during backward. Defaults to True.",
|
| 103 |
"signature": {
|