Tensorflow：用动态计算的值tens填充张量

Question

计算了这两个张量值，并尝试创建动态形状的张量。E是张量变量的切片，labelLen_l是占位符，tensorval1和tensorval2是维度1的张量。在

num1 = tf.reduce_sum(tf.eye(labelLen_l, dtype=tf.float64)*E, 1) num2 = tf.fill(num1.shape, tensor_val1) num3 = tf.fill(num1.shape, tensor_val2)

上面写着ValueError: Tried to convert 'dims' to a tensor and failed. Error: Cannot convert a partially known TensorShape to a Tensor: <unknown>

我试图计算num1+num2+num3，因此它们的尺寸应该匹配。有什么建议吗？在

Answer 1

你可以用tf.形状为了得到张量形状作为张量类型。在

num2 = tf.fill(num1.shape, tensor_val1)

num3 = tf.fill(num1.shape, tensor_val2)

应该是：

num2 = tf.fill(tf.shape(num1), tensor_val1)
num3 = tf.fill(tf.shape(num1), tensor_val2)