Example #1
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 def test_matmul(self):
     a = np.eye(10)
     b = np.eye(10)
     for i in range(10):
         b[i, i] = i
     a_s = scipy.sparse.coo_matrix(a)
     a_t = tensor.SparseMatrix(a_s, info=GraphInfo('a'))
     b_t = tensor.Constant(b, info=GraphInfo('b'))
     c_t = a_t @ b_t
     with self.test_session() as sess:
         c_t = sess.run(c_t.data)
         np.testing.assert_almost_equal(c_t, a @ b)
Example #2
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 def test_assign_add(self):
     x = tensor.Variable(GraphInfo('x', 'scope', False), initializer=1)
     y = x.assign_add(10)
     with self.variables_initialized_test_session() as sess:
         assert sess.run(x.data) == 1
         assert sess.run(y.data) == 11
         assert sess.run(x.data) == 11
Example #3
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 def create_simple_info(self, name='x'):
     return GraphInfo(name, None, False)
Example #4
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 def test_empty_scope(self):
     info = GraphInfo('x', '', False)
     with info.variable_scope():
         assert tf.get_variable_scope().name == ''
Example #5
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 def test_child(self):
     info = GraphInfo('x', None, False)
     child = info.child_scope('y')
     self.assertNameEqual(child, 'x/y')
Example #6
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 def test_auto_scope(self):
     info = GraphInfo('x', None, False)
     self.assertEqual(info.scope, 'x')
Example #7
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 def test_update(self):
     info = GraphInfo('x', None, False)
     info_u = info.update(name=info.name / 'y')
     self.assertNameEqual(info_u, 'x/y')
Example #8
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 def create_reuseable_info(self, name='x'):
     return GraphInfo(name, None, True)
Example #9
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 def test_construct_by_graph_info_value(self):
     x = tensor.Variable(GraphInfo('x', 'scope', False), initializer=0)
     with self.variables_initialized_test_session() as sess:
         assert sess.run(x.data) == 0
Example #10
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 def test_construct_by_graph_info_name(self):
     x = tensor.Variable(GraphInfo('x', 'scope', False), initializer=0)
     assert x.data.name == 'scope/x:0'
Example #11
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 def test_basic(self):
     x_ = np.array([1.0, 2.0, 3.0], np.float32)
     x = tensor.Variable(GraphInfo('x'), initializer=x_)
     with self.variables_initialized_test_session() as sess:
         self.assertAllEqual(x.eval(), [1.0, 2.0, 3.0])
Example #12
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 def test_construct_with_none_name(self):
     with tf.variable_scope('scope') as scope:
         a = tf.constant(1, name='a')
     t = tensor.Tensor(a, GraphInfo(None, scope, False))
     self.assertNameEqual(t.info, 'scope/a')
     assert t.info.scope == scope
Example #13
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 def test_input_info(self):
     g = Graph(GraphInfo('g', 'g_scope'))
     self.assertNameEqual(g, 'g')
     self.assertNameEqual(g.info, 'g')
     self.assertNameEqual(g.info.scope, 'g_scope')