Methods
# inner addition(tensorA, tensorB) → {Tensor}
Adds two tf.Tensors element-wise, A + B. Supports broadcasting.
Parameters:
Name | Type | Description |
---|---|---|
tensorA |
Tensor
|
The first tf.Tensor to add. |
tensorB |
Tensor
|
The second tf.Tensor to add. Must have the same type as TensorA. |
tf.add(tensorA, tensorB)
Tensor
# inner division(tensorA, tensorB) → {Tensor}
Divides two tf.Tensors element-wise, A / B. Supports broadcasting.
Parameters:
Name | Type | Description |
---|---|---|
tensorA |
Tensor
|
The first tensor as the numerator. |
tensorB |
Tensor
|
The second tensor as the denominator. Must have the same dtype as TensorA. |
tf.div(tensorA, tensorB)
Tensor
# inner multiplication(tensorA, tensorB) → {Tensor}
Multiplies two tf.Tensors element-wise, A * B. Supports broadcasting.
Parameters:
Name | Type | Description |
---|---|---|
tensorA |
Tensor
|
The first tensor to multiply. |
tensorB |
Tensor
|
The second tf.Tensor to multiply. Must have the same dtype as TensorA. |
tf.mul(tensorA, tensorB)
Tensor
# inner subtraction(tensorA, tensorB) → {Tensor}
Subtracts two tf.Tensors element-wise, A - B. Supports broadcasting.
Parameters:
Name | Type | Description |
---|---|---|
tensorA |
Tensor
|
The first tf.Tensor to subtract from. |
tensorB |
Tensor
|
The second tf.Tensor to be subtracted. Must have the same dtype as TensorA. |
tf.sub(tensorA, tensorB)
Tensor