Function sparseToDense

Converts a sparse representation into a dense tensor.

Builds an array dense with shape outputShape such that:

// If sparseIndices is scalar dense[i] = (i == sparseIndices ? sparseValues : defaultValue)

// If sparseIndices is a vector, then for each i dense[sparseIndices[i]] = sparseValues[i]

// If sparseIndices is an n by d matrix, then for each i in [0, n) dense[sparseIndices[i][0], ..., sparseIndices[i][d-1]] = sparseValues[i] All other values in dense are set to defaultValue. If sparseValues is a scalar, all sparse indices are set to this single value.

If indices are repeated the final value is summed over all values for those indices.

const indices = tf.tensor1d([4, 5, 6, 1, 2, 3], 'int32');
const values = tf.tensor1d([10, 11, 12, 13, 14, 15], 'float32');
const shape = [8];
tf.sparseToDense(indices, values, shape).print();
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