tensorflow sum tensors
@LYu i think that as per python syntax, axis=-1 is the last axis of the tensor, so in this specific case, they are the same. for ND tensors the two are not the same. , The standard way to sum a list of tensors is to use the tf.add_n() operation, which takes a list of tensors (each having the same size and shape) ...,A tensor or variable. axis, An integer, the axis to sum over. keepdims, A boolean, whether to keep the dimensions or ... ,Returns the element-wise sum of a list of tensors. ... inputs, A list of Tensor objects, each with same shape and type. shape, Expected shape of elements of inputs ... , A Tensor . Must have the same type as x . name, A name for the operation (optional).,Adds all input tensors element-wise. ... but it waits for all of its inputs to be ready before beginning to sum. ... Tensor: shape=(2, 2), dtype=int32, numpy= array([[ 7 ... ,Compute the cumulative sum of the tensor x along axis . View aliases. ,If axis has no entries, all dimensions are reduced, and a tensor with a single element is returned. This function is more numerically stable than log(sum(exp(input))) ... ,The reduced tensor, of the same dtype as the input_tensor. Numpy Compatibility. Equivalent to np.sum apart the fact that numpy upcast uint8 and int32 to int64 ... ,Computes a tensor such that o u t p u t i = ∑ j d a t a j where sum is over j such that segment_ids[j] == i . If the sum is empty for a given segment ID i , output[i] = 0 .
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 tensorflow sum tensors 相關參考資料
How to do a column sum in Tensorflow? - Stack Overflow
@LYu i think that as per python syntax, axis=-1 is the last axis of the tensor, so in this specific case, they are the same. for ND tensors the two are not the same. https://stackoverflow.com sum over a list of tensors in tensorflow - Stack Overflow
The standard way to sum a list of tensors is to use the tf.add_n() operation, which takes a list of tensors (each having the same size and shape) ... https://stackoverflow.com tf.keras.backend.sum | TensorFlow Core v2.3.0
A tensor or variable. axis, An integer, the axis to sum over. keepdims, A boolean, whether to keep the dimensions or ... https://www.tensorflow.org tf.math.accumulate_n | TensorFlow Core v2.3.0
Returns the element-wise sum of a list of tensors. ... inputs, A list of Tensor objects, each with same shape and type. shape, Expected shape of elements of inputs ... https://www.tensorflow.org tf.math.add | TensorFlow Core v2.3.0
A Tensor . Must have the same type as x . name, A name for the operation (optional). https://www.tensorflow.org tf.math.add_n | TensorFlow Core v2.3.0
Adds all input tensors element-wise. ... but it waits for all of its inputs to be ready before beginning to sum. ... Tensor: shape=(2, 2), dtype=int32, numpy= array([[ 7 ... https://www.tensorflow.org tf.math.cumsum | TensorFlow Core v2.3.0
Compute the cumulative sum of the tensor x along axis . View aliases. https://www.tensorflow.org tf.math.reduce_logsumexp | TensorFlow Core v2.3.0
If axis has no entries, all dimensions are reduced, and a tensor with a single element is returned. This function is more numerically stable than log(sum(exp(input))) ... https://www.tensorflow.org tf.math.reduce_sum | TensorFlow Core v2.3.0
The reduced tensor, of the same dtype as the input_tensor. Numpy Compatibility. Equivalent to np.sum apart the fact that numpy upcast uint8 and int32 to int64 ... https://www.tensorflow.org tf.math.segment_sum | TensorFlow Core v2.3.0
Computes a tensor such that o u t p u t i = ∑ j d a t a j where sum is over j such that segment_ids[j] == i . If the sum is empty for a given segment ID i , output[i] = 0 . https://www.tensorflow.org |