### TensorFlow-GPU 1.14.0 Compatible Numpy Version For ensuring compatibility between TensorFlow and other libraries such as NumPy, it is important to consider the environment setup at the time of TensorFlow's release. Specifically regarding TensorFlow-GPU 1.14.0, this version was released with support for specific versions of dependencies including Python and CUDA. The error encountered when attempting to use `import tensorflow` indicates that TensorFlow is not installed in the current Python environment[^1]. However, focusing on finding a compatible NumPy version specifically for TensorFlow-GPU 1.14.0 involves understanding typical dependency requirements around its release period. Typically, TensorFlow 1.x series, which includes version 1.14.0, works well with NumPy versions up to 1.16.x. This range provides stability without introducing breaking changes from newer releases of NumPy that might affect TensorFlow operations. Therefore, installing a NumPy version within this range should ensure compatibility: ```bash pip install numpy==1.16.4 ``` Additionally, since TensorFlow-GPU 1.14.0 can be installed via pre-built wheels targeting specific Python environments like shown here for Python 3.7 using Windows AMD64 architecture[^2], maintaining consistency across all package versions helps prevent potential conflicts during installation or runtime usage. To verify successful integration after setting up these components, one could run simple tests involving both TensorFlow and NumPy functionalities together to confirm interoperability.