[rocm7.0_internal_testing] upgrading numpy (#2256)

Relates to: ROCm/builder#82

Validation:
http://rocm-ci.amd.com/job/mainline-pytorch_internal-manylinux-wheels/98/

Using
`registry-sc-harbor.amd.com/framework/compute-rocm-dkms-no-npi-hipclang:16180_ubuntu24.04_py3.12_pytorch_lw_rocm7.0_IT_upgrade_numpy_452f3df6`:
```
root@d92befdbb2a6:/# pip list | egrep "numpy|pandas"
numpy                   2.1.2
pandas                  2.2.3
root@d92befdbb2a6:/# python3
Python 3.12.3 (main, Feb  4 2025, 14:48:35) [GCC 13.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas
>>> import torch
>>> import numpy
>>> exit()
root@d92befdbb2a6:/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 : 0.11369450092315674
Throughput [img/sec] : 562.9120096428937
```

---------

Co-authored-by: Jithun Nair <[email protected]>
(cherry picked from commit cf32479)

Author: 2 people

.ci/docker/requirements-ci.txt

@@ -117,12 +117,10 @@ ninja==1.11.1.4
 #Pinned versions: 1.11.1.4
 #test that import: run_test.py, test_cpp_extensions_aot.py,test_determination.py
 
-numba==0.49.0 ; python_version < "3.9"
-numba==0.55.2 ; python_version == "3.9"
-numba==0.55.2 ; python_version == "3.10" and platform_machine != "s390x"
-numba==0.60.0 ; python_version == "3.12" and platform_machine != "s390x"
+numba==0.60.0 ; python_version == "3.9"
+numba==0.61.2 ; python_version > "3.9"
 #Description: Just-In-Time Compiler for Numerical Functions
-#Pinned versions: 0.55.2, 0.60.0
+#Pinned versions: 0.61.2, 0.60.0
 #test that import: test_numba_integration.py
 #Need release > 0.61.2 for s390x due to https://github.com/numba/numba/pull/10073
 
@@ -138,12 +136,10 @@ numba==0.60.0 ; python_version == "3.12" and platform_machine != "s390x"
 #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==1.22.4; python_version == "3.10"
-numpy==1.26.2; python_version == "3.11" or python_version == "3.12"
-numpy==2.1.2; python_version >= "3.13"
+numpy==2.0.2; python_version == "3.9"
+numpy==2.1.2; python_version >= "3.9"
 
-pandas==2.0.3; python_version < "3.13"
-pandas==2.2.3; python_version >= "3.13"
+pandas==2.2.3
 
 #onnxruntime
 #Description: scoring engine for Open Neural Network Exchange (ONNX) models

requirements-build.txt

@@ -2,7 +2,7 @@
 setuptools>=70.1.0
 cmake>=3.27
 ninja
-numpy
+numpy==2.1.2
 packaging
 pyyaml
 requests