byte arrays of variable lengths. Each element of a Tensor is a byte array
DT_BOOL
tf.bool
Boolean value true or false
DT_COMPLEX64
tf.complex64
Complex number made of two 32 bits floating points: real and imaginary parts
DT_COMPLEX128
tf.complex128
Complex number made of two 64 bits floating points: real and imaginary parts
DT_QINT8
tf.qint8
Signed integer of 8bits used in quantized Ops.
DT_QINT32
tf.qint32
Signed integer of 32bits used in quantized Ops.
DT_QUINT8
tf.quint8
unsigned integer of 8bits used in quantized Ops.
Arithmetic Operators in tensorflow
TensorFlow gives various operations to perform basic arithmetic operators to your graph.
Operator
Description
tf.add(x,y,name=None)
Returns tensor with x + y element-wise.
tf.subtract(x,y,name=none)
Returns tensor with x - y element-wise.
tf.multiply(x,y,name=none)
Returns tensor x * y element-wise.
tf.scalar_mul(scalar,x)
Multiplies scalar with tensor (scalor*x) and returns multiplied tensor.
tf.div(x,y,name=none)
Divides x / y elementwise and returns tensor
tf.divide(x,y,name=none)
Computes Python style division of x by y
tf.truediv(x,y,name=none)
This function converts integer into floating point and then divides. This operator is generated by normal x / y division in Python 3
tf.floordiv(x,y,name=none)
Divides x / y elementwise, rounding toward the most negative integer.
tf.realdiv(x,y,name=none)
Returns x / y element-wise for real types.If x and y are reals, this will return the floating-point division.
tf.truncatemod(x,y,name=none)
Returns element-wise remainder of division.
tf.cross(x,y,name=none)
Compute the pairwise cross product.x and y must be the same shape; they can either be simple 3-element vectors, or any shape where the innermost dimension is 3. In the latter case, each pair of corresponding 3-element vectors is cross-multiplied independently.