Defined in tensorflow/_api/v1/math/__init__.py.
Basic arithmetic operators.
See the python/math_ops guide.
Functions
abs(...): Computes the absolute value of a tensor.
accumulate_n(...): Returns the element-wise sum of a list of tensors.
acos(...): Computes acos of x element-wise.
acosh(...): Computes inverse hyperbolic cosine of x element-wise.
add(...): Returns x + y element-wise.
add_n(...): Adds all input tensors element-wise.
angle(...): Returns the element-wise argument of a complex (or real) tensor.
argmax(...): Returns the index with the largest value across axes of a tensor. (deprecated arguments)
argmin(...): Returns the index with the smallest value across axes of a tensor. (deprecated arguments)
asin(...): Computes asin of x element-wise.
asinh(...): Computes inverse hyperbolic sine of x element-wise.
atan(...): Computes atan of x element-wise.
atan2(...): Computes arctangent of y/x element-wise, respecting signs of the arguments.
atanh(...): Computes inverse hyperbolic tangent of x element-wise.
bessel_i0(...): Computes the Bessel i0 function of x element-wise.
bessel_i0e(...): Computes the Bessel i0e function of x element-wise.
bessel_i1(...): Computes the Bessel i1 function of x element-wise.
bessel_i1e(...): Computes the Bessel i1e function of x element-wise.
betainc(...): Compute the regularized incomplete beta integral \(I_x(a, b)\).
bincount(...): Counts the number of occurrences of each value in an integer array.
ceil(...): Returns element-wise smallest integer not less than x.
confusion_matrix(...): Computes the confusion matrix from predictions and labels.
conj(...): Returns the complex conjugate of a complex number.
cos(...): Computes cos of x element-wise.
cosh(...): Computes hyperbolic cosine of x element-wise.
count_nonzero(...): Computes number of nonzero elements across dimensions of a tensor. (deprecated arguments)
cumprod(...): Compute the cumulative product of the tensor x along axis.
cumsum(...): Compute the cumulative sum of the tensor x along axis.
digamma(...): Computes Psi, the derivative of Lgamma (the log of the absolute value of
divide(...): Computes Python style division of x by y.
equal(...): Returns the truth value of (x == y) element-wise.
erf(...): Computes the Gauss error function of x element-wise.
erfc(...): Computes the complementary error function of x element-wise.
exp(...): Computes exponential of x element-wise. \(y = e^x\).
expm1(...): Computes exponential of x - 1 element-wise.
floor(...): Returns element-wise largest integer not greater than x.
floordiv(...): Divides x / y elementwise, rounding toward the most negative integer.
greater(...): Returns the truth value of (x > y) element-wise.
greater_equal(...): Returns the truth value of (x >= y) element-wise.
igamma(...): Compute the lower regularized incomplete Gamma function P(a, x).
igammac(...): Compute the upper regularized incomplete Gamma function Q(a, x).
imag(...): Returns the imaginary part of a complex (or real) tensor.
in_top_k(...): Says whether the targets are in the top K predictions.
invert_permutation(...): Computes the inverse permutation of a tensor.
is_finite(...): Returns which elements of x are finite.
is_inf(...): Returns which elements of x are Inf.
is_nan(...): Returns which elements of x are NaN.
is_non_decreasing(...): Returns True if x is non-decreasing.
is_strictly_increasing(...): Returns True if x is strictly increasing.
l2_normalize(...): Normalizes along dimension axis using an L2 norm. (deprecated arguments)
lbeta(...): Computes \(ln(|Beta(x)|)\), reducing along the last dimension.
less(...): Returns the truth value of (x < y) element-wise.
less_equal(...): Returns the truth value of (x <= y) element-wise.
lgamma(...): Computes the log of the absolute value of Gamma(x) element-wise.
log(...): Computes natural logarithm of x element-wise.
log1p(...): Computes natural logarithm of (1 + x) element-wise.
log_sigmoid(...): Computes log sigmoid of x element-wise.
log_softmax(...): Computes log softmax activations. (deprecated arguments)
logical_and(...): Returns the truth value of x AND y element-wise.
logical_not(...): Returns the truth value of NOT x element-wise.
logical_or(...): Returns the truth value of x OR y element-wise.
logical_xor(...): x ^ y = (x | y) & ~(x & y).
maximum(...): Returns the max of x and y (i.e. x > y ? x : y) element-wise.
minimum(...): Returns the min of x and y (i.e. x < y ? x : y) element-wise.
multiply(...): Returns x * y element-wise.
negative(...): Computes numerical negative value element-wise.
not_equal(...): Returns the truth value of (x != y) element-wise.
polygamma(...): Compute the polygamma function \(\psi^{(n)} (x)\).
polyval(...): Computes the elementwise value of a polynomial.
pow(...): Computes the power of one value to another.
real(...): Returns the real part of a complex (or real) tensor.
reciprocal(...): Computes the reciprocal of x element-wise.
reduce_all(...): Computes the "logical and" of elements across dimensions of a tensor. (deprecated arguments)
reduce_any(...): Computes the "logical or" of elements across dimensions of a tensor. (deprecated arguments)
reduce_logsumexp(...): Computes log(sum(exp(elements across dimensions of a tensor))). (deprecated arguments)
reduce_max(...): Computes the maximum of elements across dimensions of a tensor. (deprecated arguments)
reduce_mean(...): Computes the mean of elements across dimensions of a tensor.
reduce_min(...): Computes the minimum of elements across dimensions of a tensor. (deprecated arguments)
reduce_prod(...): Computes the product of elements across dimensions of a tensor. (deprecated arguments)
reduce_std(...): Computes the standard deviation of elements across dimensions of a tensor.
reduce_sum(...): Computes the sum of elements across dimensions of a tensor. (deprecated arguments)
reduce_variance(...): Computes the variance of elements across dimensions of a tensor.
rint(...): Returns element-wise integer closest to x.
round(...): Rounds the values of a tensor to the nearest integer, element-wise.
rsqrt(...): Computes reciprocal of square root of x element-wise.
scalar_mul(...): Multiplies a scalar times a Tensor or IndexedSlices object.
segment_max(...): Computes the maximum along segments of a tensor.
segment_mean(...): Computes the mean along segments of a tensor.
segment_min(...): Computes the minimum along segments of a tensor.
segment_prod(...): Computes the product along segments of a tensor.
segment_sum(...): Computes the sum along segments of a tensor.
sigmoid(...): Computes sigmoid of x element-wise.
sign(...): Returns an element-wise indication of the sign of a number.
sin(...): Computes sin of x element-wise.
sinh(...): Computes hyperbolic sine of x element-wise.
softmax(...): Computes softmax activations. (deprecated arguments)
softplus(...): Computes softplus: log(exp(features) + 1).
softsign(...): Computes softsign: features / (abs(features) + 1).
sqrt(...): Computes square root of x element-wise.
square(...): Computes square of x element-wise.
squared_difference(...): Returns (x - y)(x - y) element-wise.
subtract(...): Returns x - y element-wise.
tan(...): Computes tan of x element-wise.
tanh(...): Computes hyperbolic tangent of x element-wise.
top_k(...): Finds values and indices of the k largest entries for the last dimension.
truediv(...): Divides x / y elementwise (using Python 3 division operator semantics).
unsorted_segment_max(...): Computes the maximum along segments of a tensor.
unsorted_segment_mean(...): Computes the mean along segments of a tensor.
unsorted_segment_min(...): Computes the minimum along segments of a tensor.
unsorted_segment_prod(...): Computes the product along segments of a tensor.
unsorted_segment_sqrt_n(...): Computes the sum along segments of a tensor divided by the sqrt(N).
unsorted_segment_sum(...): Computes the sum along segments of a tensor.
xdivy(...): Returns 0 if x == 0, and x / y otherwise, elementwise.
xlogy(...): Returns 0 if x == 0, and x * log(y) otherwise, elementwise.
zero_fraction(...): Returns the fraction of zeros in value.
zeta(...): Compute the Hurwitz zeta function \(\zeta(x, q)\).