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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Java API DataBuffers.of uses buffer incorrectly","articleBody":"Hi, \r\n\r\nI am seeing this behavior when creating a Tensor using a buffer that is created by wrapping an array. \r\nThe example below can reproduce the issue:\r\n\r\n```\r\n// create an buffer by wrapping an array but buffer start from position 3 and length is 4\r\nfinal IntBuffer src = IntBuffer.wrap(new int[]{0, 1, 2, 3, 4, 5, 6, 7, 8}, 3, 4).asReadOnlyBuffer();\r\nfinal org.tensorflow.Tensor tensor = TInt32.tensorOf(Shape.of(4), DataBuffers.of(src));\r\n\r\nfinal int[] value = new int[4];\r\ntensor.asRawTensor().data().asInts().read(value);\r\nassertArrayEquals(new int[]{0, 1, 2, 3}, value); // This is not really a correct behavior, it is not honoring the buffer offset when wrapping the array, it just takes the first 4 elements\r\n//assertArrayEquals(new int[]{3, 4, 5, 6}, value); // This should be the desired result\r\n```\r\n\r\nSystem info:\r\nJava `8`\r\ntensorflow-java (tensorflow-core-api) `0.4.1`","author":{"url":"https://github.com/fyang996","@type":"Person","name":"fyang996"},"datePublished":"2022-08-31T23:48:19.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":1},"url":"https://github.com/9/java-ndarray/issues/9"}