def testDuplicatedAddNRewriter(self):
x = npr.randn(4, 3)
y = npr.randn(3)
z = npr.randn(1, 3)
expr = self._rewriter_test_helper(
lambda x, y, z: tracers.add_n(x, y, z, y),
rewrites.replace_duplicated_addn, x, y, z)
self.assertIsInstance(expr, tracers.GraphExpr)
self.assertEqual(expr.expr_node.fun.__name__, 'add_n')
self.assertEqual(len(expr.expr_node.parents), 3)
self.assertTrue(
all([
parent.fun.__name__ in ('multiply', 'env_lookup')
for parent in expr.expr_node.parents
]))
def testAddNRewriter(self):
x = npr.randn(4, 3)
y = npr.randn(3)
z = npr.randn(1, 3)
expr = self._rewriter_test_helper(
lambda x, y, z: x + tracers.add_n(y, z), rewrites.replace_add_addn,
x, y, z)
self.assertIsInstance(expr, tracers.GraphExpr)
self.assertEqual(expr.expr_node.fun.__name__, 'add_n')
expr = self._rewriter_test_helper(
lambda x, y, z: tracers.add_n(x, y) + z, rewrites.replace_add_addn,
x, y, z)
self.assertIsInstance(expr, tracers.GraphExpr)
self.assertEqual(expr.expr_node.fun.__name__, 'add_n')
expr = self._rewriter_test_helper(
lambda x, y, z: tracers.add_n(tracers.add_n(x, y), z),
rewrites.replace_addn_addn, x, y, z)
self.assertIsInstance(expr, tracers.GraphExpr)
self.assertEqual(expr.expr_node.fun.__name__, 'add_n')
self.assertTrue(
all([
parent.fun.__name__ == 'env_lookup'
for parent in expr.expr_node.parents
]))
expr = self._rewriter_test_helper(
lambda x, y, z: tracers.add_n(x, tracers.add_n(y, z), z),
rewrites.replace_addn_addn, x, y, z)
self.assertIsInstance(expr, tracers.GraphExpr)
self.assertEqual(expr.expr_node.fun.__name__, 'add_n')
self.assertTrue(
all([
parent.fun.__name__ == 'env_lookup'
for parent in expr.expr_node.parents
]))
def fun(x, a, b):
return tracers.logdet(
tracers.add_n(np.einsum(',ab->ab', x, a),
np.einsum(',ab->ab', x, b)))
def fun(x, a, b):
return np.linalg.inv(
tracers.add_n(np.einsum(',ab->ab', x, a),
np.einsum(',ab->ab', x, b)))
def fun(x, a, b):
return tracers.add_n(np.einsum(',a->a', x, a),
np.einsum(',a->a', x, b))**3
def fun(a, x, y, z):
return np.log(
tracers.add_n(np.einsum(',a->', a, x), np.einsum(',a->', a, y),
np.einsum(',a->', a, z)))
def fun(x, y, z):
return x * tracers.add_n(y, z)
def fun(x, y, z):
return np.einsum('ij,j->i', x, tracers.add_n(y, z))
def f(x):
return tracers.add_n(np.einsum(',i->i', x, np.ones(3)),
np.einsum(',j->j', x, 2. * np.ones(3)))