module TensorFlow::Linalg

Public Class Methods

cholesky(input) click to toggle source

def band_part end

# File lib/tensorflow/linalg.rb, line 10
def cholesky(input)
  RawOps.cholesky(input: input)
end
cross(a, b) click to toggle source

def cholesky_solve end

# File lib/tensorflow/linalg.rb, line 17
def cross(a, b)
  RawOps.cross(a: a, b: b)
end
diag(diagonal) click to toggle source

def det end

# File lib/tensorflow/linalg.rb, line 24
def diag(diagonal)
  RawOps.diag(diagonal: diagonal)
end
diag_part(input) click to toggle source
# File lib/tensorflow/linalg.rb, line 28
def diag_part(input)
  RawOps.diag_part(input: input)
end
eye(num_rows, num_columns: nil) click to toggle source

def expm end

# File lib/tensorflow/linalg.rb, line 44
def eye(num_rows, num_columns: nil)
  num_columns ||= num_rows
  zeros = TensorFlow.zeros([num_rows, num_columns])
  ones = TensorFlow.ones([num_rows])
  RawOps.matrix_set_diag(input: zeros, diagonal: ones)
end
inv(x) click to toggle source

def global_norm end

# File lib/tensorflow/linalg.rb, line 54
def inv(x)
  RawOps.inv(x: x)
end
lu(input, output_idx_type: nil) click to toggle source

def lstsq end

# File lib/tensorflow/linalg.rb, line 70
def lu(input, output_idx_type: nil)
  RawOps.lu(input: input, output_idx_type: output_idx_type)
end
matmul(a, b, transpose_a: false, transpose_b: false) click to toggle source
# File lib/tensorflow/linalg.rb, line 74
def matmul(a, b, transpose_a: false, transpose_b: false)
  RawOps.mat_mul(a: a, b: b, transpose_a: transpose_a, transpose_b: transpose_b)
end
qr(input, full_matrices: nil) click to toggle source

def normalize end

# File lib/tensorflow/linalg.rb, line 90
def qr(input, full_matrices: nil)
  RawOps.qr(input: input, full_matrices: full_matrices)
end
svd(input, compute_uv: nil, full_matrices: nil) click to toggle source

def sqrtm end

# File lib/tensorflow/linalg.rb, line 106
def svd(input, compute_uv: nil, full_matrices: nil)
  RawOps.svd(input: input, compute_uv: compute_uv, full_matrices: full_matrices)
end
tridiagonal_solve(diagonals, rhs, partial_pivoting: nil) click to toggle source

def tridiagonal_matmul end

# File lib/tensorflow/linalg.rb, line 128
def tridiagonal_solve(diagonals, rhs, partial_pivoting: nil)
  RawOps.tridiagonal_solve(diagonals: diagonals, rhs: rhs, partial_pivoting: partial_pivoting)
end