i am using nodejs to deploy a model to web. But when i use these commands in a .min.js file to predict:

let tensor = tf.zeros([1, 80, 80, 3], tf.float32)
let model = await tf.loadGraphModel(modelUrl)
let outputs = await model.predict(tensor)
console.log(outputs)

web console gives error. Could you help me resolve the following error:

webgl_util.js:199 Uncaught (in promise) Error: Requested texture size [-3x6400] is invalid.

at webgl_util.js:199
at fX (gpgpu_util.js:57)
at gpgpu_util.js:89
at e.t.createFloat32MatrixTexture (gpgpu_context.js:141)
at e.t.acquireTexture (texture_manager.js:71)
at t.n.acquireTexture (backend_webgl.js:1072)
at t.n.uploadToGPU (backend_webgl.js:1042)
at t.n.runWebGLProgram (backend_webgl.js:848)
at Object.kernelFunc (StridedSlice.js:72)
at n (engine.js:636)