Python batch_matrix_transpose Examples

Example #1

File: operator_pd_diag.py Project: apollos/tensorflow

 def _batch_matmul(self, x, transpose_x=False):
   if transpose_x:
     x = array_ops.batch_matrix_transpose(x)
   diag_mat = array_ops.expand_dims(self._diag, -1)
   return math_ops.square(diag_mat) * x

Example #2

File: operator_pd_diag.py Project: apollos/tensorflow

 def _batch_sqrt_matmul(self, x, transpose_x=False):
   if transpose_x:
     x = array_ops.batch_matrix_transpose(x)
   diag_mat = array_ops.expand_dims(self._diag, -1)
   return diag_mat * x

Example #3

File: operator_pd_diag.py Project: instadeep/Mobile-ai

 def _batch_sqrt_matmul(self, x, transpose_x=False):
     if transpose_x:
         x = array_ops.batch_matrix_transpose(x)
     diag_mat = array_ops.expand_dims(self._diag, -1)
     return diag_mat * x

Example #4

File: operator_pd_diag.py Project: instadeep/Mobile-ai

 def _batch_matmul(self, x, transpose_x=False):
     if transpose_x:
         x = array_ops.batch_matrix_transpose(x)
     diag_mat = array_ops.expand_dims(self._diag, -1)
     return math_ops.square(diag_mat) * x

Example #5

File: operator_pd_identity.py Project: 10imaging/tensorflow

 def _batch_matmul(self, x, transpose_x=False):
   if transpose_x:
     x = array_ops.batch_matrix_transpose(x)
   self._check_x(x)
   return x

Example #6

 def _batch_matmul(self, x, transpose_x=False):
     if transpose_x:
         x = array_ops.batch_matrix_transpose(x)
     self._check_x(x)
     return x

Example #7

def assert_symmetric(matrix):
  matrix_t = array_ops.batch_matrix_transpose(matrix)
  return control_flow_ops.with_dependencies(
      [check_ops.assert_equal(matrix, matrix_t)], matrix)