Use instanttensor == 0.1.8

Signed-off-by: mgoin <mgoin64@gmail.com>

requirements/test/cuda.in

@@ -59,7 +59,7 @@ numba == 0.61.2 # Required for N-gram speculative decoding
 numpy
 runai-model-streamer[s3,gcs,azure]==0.15.7
 fastsafetensors>=0.2.2 # 0.2.2 contains important fixes for multi-GPU mem usage
-instanttensor>=0.1.5
+instanttensor==0.1.8
 pydantic>=2.12 # 2.11 leads to error on python 3.13
 decord==0.6.0; platform_machine == "x86_64"
 terratorch >= 1.2.2 # Required for Prithvi tests

requirements/test/cuda.txt

@@ -401,7 +401,7 @@ inflect==5.6.2
     # via datamodel-code-generator
 iniconfig==2.0.0
     # via pytest
-instanttensor==0.1.5
+instanttensor==0.1.8
     # via -r requirements/test/cuda.in
 isodate==0.7.2
     # via azure-storage-blob

requirements/test/nightly-torch.txt

@@ -44,5 +44,5 @@ numba == 0.61.2 # Required for N-gram speculative decoding
 numpy
 runai-model-streamer[s3,gcs,azure]==0.15.7
 fastsafetensors>=0.2.2
-instanttensor>=0.1.5
+instanttensor==0.1.8
 pydantic>=2.12 # 2.11 leads to error on python 3.13

requirements/test/rocm.in

@@ -57,7 +57,7 @@ numba==0.61.2 # Required for N-gram speculative decoding
 numpy
 runai-model-streamer[s3,gcs,azure]==0.15.7
 fastsafetensors>=0.2.2 # 0.2.2 contains important fixes for multi-GPU mem usage
-instanttensor>=0.1.5
+instanttensor==0.1.8
 pydantic>=2.12 # 2.11 leads to error on python 3.13
 decord==0.6.0
 

requirements/test/rocm.txt

@@ -467,7 +467,7 @@ inflect==7.5.0
     # via datamodel-code-generator
 iniconfig==2.3.0
     # via pytest
-instanttensor==0.1.6
+instanttensor==0.1.8
     # via -r requirements/test/rocm.in
 interegular==0.3.3
     # via lm-format-enforcer

setup.py

@@ -1079,7 +1079,7 @@ setup(
         "bench": ["pandas", "matplotlib", "seaborn", "datasets", "scipy", "plotly"],
         "tensorizer": ["tensorizer==2.10.1"],
         "fastsafetensors": ["fastsafetensors >= 0.2.2"],
-        "instanttensor": ["instanttensor >= 0.1.5"],
+        "instanttensor": ["instanttensor == 0.1.8"],
         "runai": ["runai-model-streamer[s3,gcs,azure] >= 0.15.7"],
         "audio": [
             "av",