Introduce tf.linalg namespace.

Ops are named tf.linalg.cholesky etc. Old aliases like tf.cholesky still work.
Notice that most ops were renamed to be more in line with the (more or less) equivalent numpy function.

PiperOrigin-RevId: 166511987

tensorflow/python/BUILD

@@ -64,6 +64,7 @@ py_library(
         ":initializers_ns",
         ":io_ops",
         ":lib",
+        ":linalg_ns",
         ":math_ops",
         ":nn",
         ":platform",
@@ -1629,6 +1630,18 @@ py_library(
     ],
 )
 
+py_library(
+    name = "linalg_ns",
+    srcs = ["ops/linalg_ns.py"],
+    srcs_version = "PY2AND3",
+    deps = [
+        ":array_ops",
+        ":linalg_ops",
+        ":math_ops",
+        ":special_math_ops",
+    ],
+)
+
 py_library(
     name = "linalg_grad",
     srcs = ["ops/linalg_grad.py"],

tensorflow/python/__init__.py

@@ -73,6 +73,7 @@ from tensorflow.python.ops.standard_ops import *
 
 # Namespaces
 from tensorflow.python.ops import initializers_ns as initializers
+from tensorflow.python.ops import linalg_ns as linalg
 
 # pylint: enable=wildcard-import
 
@@ -228,6 +229,8 @@ _allowed_symbols.extend([
     'gfile',
     'graph_util',
     'image',
+    'initializers',
+    'linalg',
     'logging',
     'losses',
     'metrics',
@@ -245,7 +248,6 @@ _allowed_symbols.extend([
     'user_ops',
     'layers',
     'profiler',
-    'initializers',
 ])
 
 # Variables framework.versions:

tensorflow/python/ops/linalg_ns.py

@@ -0,0 +1,62 @@
+# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+"""Public API for tf.linalg namespace."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+from tensorflow.python.ops import array_ops
+from tensorflow.python.ops import linalg_ops
+from tensorflow.python.ops import math_ops
+from tensorflow.python.ops import special_math_ops
+
+# Linear algebra ops.
+band_part = array_ops.matrix_band_part
+cholesky = linalg_ops.cholesky
+cholesky_solve = linalg_ops.cholesky_solve
+det = linalg_ops.matrix_determinant
+diag = array_ops.matrix_diag
+diag_part = array_ops.matrix_diag_part
+eigh = linalg_ops.self_adjoint_eig
+eigvalsh = linalg_ops.self_adjoint_eigvals
+einsum = special_math_ops.einsum
+eye = linalg_ops.eye
+inv = linalg_ops.matrix_inverse
+lstsq = linalg_ops.matrix_solve_ls
+norm = linalg_ops.norm
+qr = linalg_ops.qr
+set_diag = array_ops.matrix_set_diag
+solve = linalg_ops.matrix_solve
+svd = linalg_ops.svd
+tensordot = math_ops.tensordot
+trace = math_ops.trace
+transpose = array_ops.matrix_transpose
+triangular_solve = linalg_ops.matrix_triangular_solve
+
+# Additional aliases for consistency with root namespace for ops whose names
+# changed significantly when moving to the linalg namespace.
+self_adjoint_eig = linalg_ops.self_adjoint_eig
+self_adjoint_eigvals = linalg_ops.self_adjoint_eigvals
+solve_ls = linalg_ops.matrix_solve_ls
+
+# Seal API.
+del absolute_import
+del array_ops
+del division
+del linalg_ops
+del math_ops
+del print_function
+del special_math_ops

tensorflow/tools/api/golden/tensorflow.linalg.pbtxt

@@ -0,0 +1,99 @@
+path: "tensorflow.linalg"
+tf_module {
+  member_method {
+    name: "band_part"
+    argspec: "args=[\'input\', \'num_lower\', \'num_upper\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "cholesky"
+    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "cholesky_solve"
+    argspec: "args=[\'chol\', \'rhs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "det"
+    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "diag"
+    argspec: "args=[\'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "diag_part"
+    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "eigh"
+    argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "eigvalsh"
+    argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "einsum"
+    argspec: "args=[\'equation\'], varargs=inputs, keywords=kwargs, defaults=None"
+  }
+  member_method {
+    name: "eye"
+    argspec: "args=[\'num_rows\', \'num_columns\', \'batch_shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'float32\'>\", \'None\'], "
+  }
+  member_method {
+    name: "inv"
+    argspec: "args=[\'input\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "lstsq"
+    argspec: "args=[\'matrix\', \'rhs\', \'l2_regularizer\', \'fast\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'True\', \'None\'], "
+  }
+  member_method {
+    name: "norm"
+    argspec: "args=[\'tensor\', \'ord\', \'axis\', \'keep_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'euclidean\', \'None\', \'False\', \'None\'], "
+  }
+  member_method {
+    name: "qr"
+    argspec: "args=[\'input\', \'full_matrices\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "self_adjoint_eig"
+    argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "self_adjoint_eigvals"
+    argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "set_diag"
+    argspec: "args=[\'input\', \'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "solve"
+    argspec: "args=[\'matrix\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
+  }
+  member_method {
+    name: "solve_ls"
+    argspec: "args=[\'matrix\', \'rhs\', \'l2_regularizer\', \'fast\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'True\', \'None\'], "
+  }
+  member_method {
+    name: "svd"
+    argspec: "args=[\'tensor\', \'full_matrices\', \'compute_uv\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], "
+  }
+  member_method {
+    name: "tensordot"
+    argspec: "args=[\'a\', \'b\', \'axes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "trace"
+    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "transpose"
+    argspec: "args=[\'a\', \'name\'], varargs=None, keywords=None, defaults=[\'matrix_transpose\'], "
+  }
+  member_method {
+    name: "triangular_solve"
+    argspec: "args=[\'matrix\', \'rhs\', \'lower\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'False\', \'None\'], "
+  }
+}

tensorflow/tools/api/golden/tensorflow.pbtxt

@@ -368,6 +368,10 @@ tf_module {
     name: "layers"
     mtype: "<type \'module\'>"
   }
+  member {
+    name: "linalg"
+    mtype: "<type \'module\'>"
+  }
   member {
     name: "logging"
     mtype: "<type \'module\'>"