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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"The method create(float[][][][]) is undefined for the type Tensor (tensorflow-core-api version 0.3)","articleBody":"I am trying to convert an image to Tensor. For that first I convert the buffered image to float[][][][] array as below.\r\n`File inputImage = new File(inputName);\r\n        BufferedImage bufferedImage = ImageIO.read(inputImage);\r\n        int imgHeight = bufferedImage.getHeight();\r\n        int imgWidth = bufferedImage.getWidth();\r\n        int numberOfChannels = bufferedImage.getTransparency();\r\n        float[][][][] floatImage = new float[1][imgHeight][imgWidth][numberOfChannels];\r\n        for(int i = 0; i \u003c imgHeight; i++) {\r\n        \tfor(int j = 0; j \u003c imgWidth; j++) {\r\n        \t\tfor(int k = 0; k \u003c numberOfChannels; k++) {\r\n        \t\t\tfloatImage[0][i][j][k] = (float) (bufferedImage.getData().getSample(i, j, k)/255.0);\r\n        \t\t}\r\n        \t}\r\n        }`\r\nThen, I try to convert the float array to Tensor using `Tensor inputTensor = Tensor.create(floatImage)`.\r\n\r\nIs there a way to convert an buffered image to Tensor? I am using ´tensorflow-core-api´ version ´0.3´.\r\n\r\nNote: Converting the buffered as above takes longer, maybe there is a faster way to do it in Java.","author":{"url":"https://github.com/micosacak","@type":"Person","name":"micosacak"},"datePublished":"2021-03-29T22:49:46.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":7},"url":"https://github.com/258/java/issues/258"}