[rocm7.0_internal_testing] Use different package versions for py3.9 (#2269)

Fixes SWDEV-536456

Fixes error post-#2256:
```
00:12:44.248  #22 155.3 ERROR: Ignored the following versions that require a different python version: 0.52.0 Requires-Python >=3.6,<3.9; 0.52.0rc3 Requires-Python >=3.6,<3.9; 0.61.0 Requires-Python >=3.10; 0.61.0rc1 Requires-Python >=3.10; 0.61.0rc2 Requires-Python >=3.10; 0.61.1rc1 Requires-Python >=3.10; 0.61.2 Requires-Python >=3.10; 3.3 Requires-Python >=3.10; 3.3rc0 Requires-Python >=3.10; 3.4 Requires-Python >=3.10; 3.4.1 Requires-Python >=3.10; 3.4.2 Requires-Python >=3.10; 3.4rc0 Requires-Python >=3.10; 3.5 Requires-Python >=3.11; 3.5rc0 Requires-Python >=3.11; 8.2.0 Requires-Python >=3.10; 8.2.1 Requires-Python >=3.10
00:12:44.248  #22 155.3 ERROR: Could not find a version that satisfies the requirement numba==0.61.2 (from versions: 0.1, 0.2, 0.3, 0.5.0, 0.6.0, 0.7.0, 0.7.1, 0.7.2, 0.8.0, 0.8.1, 0.9.0, 0.10.0, 0.10.1, 0.11.0, 0.12.0, 0.12.1, 0.12.2, 0.13.0, 0.13.2, 0.13.3, 0.13.4, 0.14.0, 0.15.1, 0.16.0, 0.17.0, 0.18.1, 0.18.2, 0.19.1, 0.19.2, 0.20.0, 0.21.0, 0.22.0, 0.22.1, 0.23.0, 0.23.1, 0.24.0, 0.25.0, 0.26.0, 0.27.0, 0.28.1, 0.29.0, 0.30.0, 0.30.1, 0.31.0, 0.32.0, 0.33.0, 0.34.0, 0.35.0, 0.36.1, 0.36.2, 0.37.0, 0.38.0, 0.38.1, 0.39.0, 0.40.0, 0.40.1, 0.41.0, 0.42.0, 0.42.1, 0.43.0, 0.43.1, 0.44.0, 0.44.1, 0.45.0, 0.45.1, 0.46.0, 0.47.0, 0.48.0, 0.49.0, 0.49.1rc1, 0.49.1, 0.50.0rc1, 0.50.0, 0.50.1, 0.51.0rc1, 0.51.0, 0.51.1, 0.51.2, 0.52.0rc2, 0.53.0rc1.post1, 0.53.0rc2, 0.53.0rc3, 0.53.0, 0.53.1, 0.54.0rc2, 0.54.0rc3, 0.54.0, 0.54.1rc1, 0.54.1, 0.55.0rc1, 0.55.0, 0.55.1, 0.55.2, 0.56.0rc1, 0.56.0, 0.56.2, 0.56.3, 0.56.4, 0.57.0rc1, 0.57.0, 0.57.1rc1, 0.57.1, 0.58.0rc1, 0.58.0rc2, 0.58.0, 0.58.1, 0.59.0rc1, 0.59.0, 0.59.1, 0.60.0rc1, 0.60.0)
00:12:44.248  #22 155.3 ERROR: No matching distribution found for numba==0.61.2
```

Validation: 
* Docker image:
http://rocm-ci.amd.com/job/mainline-framework-pytorch-internal-cs9-ci/132
* Wheels:
http://rocm-ci.amd.com/job/mainline-pytorch_internal-manylinux-wheels/102/

From
`registry-sc-harbor.amd.com/framework/compute-rocm-dkms-no-npi-hipclang:16180_ubuntu22.04_py3.9_pytorch_lw_rocm7.0_IT_py3.9_a11d94ad`:
```
root@f43861a0a856:/# pip list | egrep "numpy|pandas"
numpy                   2.0.2
pandas                  2.2.3
root@f43861a0a856:/# python
Python 3.9.23 (main, Jun  4 2025, 08:55:38) 
[GCC 11.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> import numpy
>>> import pandas
root@f43861a0a856:/data/pytorch-micro-benchmarking# HIP_VISIBLE_DEVICES=1 python3 micro_benchmarking_pytorch.py --network resnet50
INFO: running forward and backward for warmup.
INFO: running the benchmark..
OK: finished running benchmark..
--------------------SUMMARY--------------------------
Microbenchmark for network : resnet50
Num devices: 1
Dtype: FP32
Mini batch size [img] : 64
Time per mini-batch : 0.11354223489761353
Throughput [img/sec] : 563.6669038416574
```

Author: jithunnair-amd

.ci/docker/requirements-ci.txt

@@ -113,7 +113,8 @@ ninja==1.11.1.3
 #Pinned versions: 1.11.1.3
 #test that import: run_test.py, test_cpp_extensions_aot.py,test_determination.py
 
-numba==0.61.2
+numba==0.60.0 ; python_version == "3.9"
+numba==0.61.2 ; python_version > "3.9"
 #Pinned versions: 0.54.1, 0.49.0, <=0.49.1
 #test that import: test_numba_integration.py
 #For numba issue see https://github.com/pytorch/pytorch/issues/51511
@@ -130,7 +131,8 @@ numba==0.61.2
 #test_nn.py, test_namedtensor.py, test_linalg.py, test_jit_cuda_fuser.py,
 #test_jit.py, test_indexing.py, test_datapipe.py, test_dataloader.py,
 #test_binary_ufuncs.py
-numpy==2.1.2
+numpy==2.0.2 ; python_version == "3.9"
+numpy==2.1.2 ; python_version > "3.9"
 
 pandas==2.2.3
 #onnxruntime
@@ -242,8 +244,8 @@ scikit-image==0.22.0 ; python_version >= "3.10"
 #Pinned versions: 0.20.3
 #test that import:
 
-scipy==1.10.1 ; python_version <= "3.11"
-scipy==1.14.1 ; python_version >= "3.12"
+scipy==1.13.1 ; python_version == "3.9"
+scipy==1.14.1 ; python_version > "3.9"
 # Pin SciPy because of failing distribution tests (see #60347)
 #Description: scientific python
 #Pinned versions: 1.10.1

requirements.txt

@@ -9,7 +9,8 @@ jinja2
 lintrunner ; platform_machine != "s390x"
 networkx
 ninja
-numpy==2.1.2
+numpy==2.0.2 ; python_version == "3.9"
+numpy==2.1.2 ; python_version > "3.9"
 optree>=0.13.0
 packaging
 psutil