I deleted everything(environments and downloaded pytorch files). Then re-downloaded pytorch and created a new environment with another name. Still getting error messages. The new build log is on the link 1.
Before starting building, I ran some commands and the results are as follows:
./bin/x86_64/linux/release/bandwidthTest
[CUDA Bandwidth Test] - Starting…
Running on…
Device 0: Quadro K4200
Quick Mode
Host to Device Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes)	Bandwidth(GB/s)
32000000			6.1
Device to Host Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes)	Bandwidth(GB/s)
32000000			6.6
Device to Device Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes)	Bandwidth(GB/s)
32000000			136.5
Result = PASS
NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.
./bin/x86_64/linux/release/deviceQuery
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: “Quadro K4200”
CUDA Driver Version / Runtime Version          10.1 / 10.1
CUDA Capability Major/Minor version number:    3.0
Total amount of global memory:                 4034 MBytes (4230086656 bytes)
( 7) Multiprocessors, (192) CUDA Cores/MP:     1344 CUDA Cores
GPU Max Clock rate:                            784 MHz (0.78 GHz)
Memory Clock rate:                             2700 Mhz
Memory Bus Width:                              256-bit
L2 Cache Size:                                 524288 bytes
Maximum Texture Dimension Size (x,y,z)         1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
Maximum Layered 1D Texture Size, (num) layers  1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers  2D=(16384, 16384), 2048 layers
Total amount of constant memory:               65536 bytes
Total amount of shared memory per block:       49152 bytes
Total number of registers available per block: 65536
Warp size:                                     32
Maximum number of threads per multiprocessor:  2048
Maximum number of threads per block:           1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch:                          2147483647 bytes
Texture alignment:                             512 bytes
Concurrent copy and kernel execution:          Yes with 2 copy engine(s)
Run time limit on kernels:                     Yes
Integrated GPU sharing Host Memory:            No
Support host page-locked memory mapping:       Yes
Alignment requirement for Surfaces:            Yes
Device has ECC support:                        Disabled
Device supports Unified Addressing (UVA):      Yes
Device supports Compute Preemption:            No
Supports Cooperative Kernel Launch:            No
Supports MultiDevice Co-op Kernel Launch:      No
Device PCI Domain ID / Bus ID / location ID:   0 / 4 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.1, CUDA Runtime Version = 10.1, NumDevs = 1
Result = PASS
nvcc -V
nvcc: NVIDIA ® Cuda compiler driver
Copyright © 2005-2019 NVIDIA Corporation
Built on Fri_Feb__8_19:08:17_PST_2019
Cuda compilation tools, release 10.1, V10.1.105