tdevries / fast_knn_gpu Goto Github PK
View Code? Open in Web Editor NEWTensorflow and Theano implementations of fast K-nearest neighbour search on GPU. ~3000x faster than sklearn KNeighborsClassifier!
Tensorflow and Theano implementations of fast K-nearest neighbour search on GPU. ~3000x faster than sklearn KNeighborsClassifier!
why the value pred is the knn prediction in your code?
normalized_keys = l2_normalize(x_keys, dim=1)
normalized_query = l2_normalize(x_queries, dim=1)
query_result = T.dot(normalized_keys, normalized_query.T)
pred = T.argmax(query_result, axis=0)
knn = theano.function(inputs=[x_keys, x_queries], outputs=pred)
thanks
another question @TDeVries :
in sklearn KNN we build a model and train the data using : neigh.fit(X_train, Y_train)
then we make predication: pred = neigh.predict(X_test)
but in tensoflow Knn where we build a model and fit the training dataset ???
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