Merge branch 'master' of ssh://github.com/tqchen/tvm

python/tvm/__init__.py

@@ -6,3 +6,4 @@ from .expr import Var, const
 from .expr_util import *
 from .tensor import Tensor
 from .domain import RDom, Range, infer_range
+from .split import Split

python/tvm/domain.py

@@ -17,7 +17,7 @@ class Range(object):
         self.extent = _expr_util.simplify(end - begin)
 
     def is_value(self):
-        return isinstance(self.extent, _expr.ConstExpr) and self.extend.value == 1
+        return isinstance(self.extent, _expr.ConstExpr) and self.extent.value == 1
 
     def __str__(self):
         return "(%s, %s)" % (

python/tvm/op.py

@@ -6,7 +6,7 @@ constant_canonical_key = '__constant__'
 def canonical_to_expr(c):
     elements = []
     for k, v in sorted(c.items()):
-        if k == constant_canonical_key:
+        if k == constant_canonical_key and v != 0:
             elements.append(_expr.const(v))
         elif v == 0:
             continue
@@ -87,7 +87,7 @@ class DivOp(BinaryOp):
         if isinstance(erhs, _expr.ConstExpr):
             lhs = lhs.copy()
             for k, v in lhs.items():
-                lhs[k] /= erhs.value
+                lhs[k] /= float(erhs.value)
             return lhs
         elhs = canonical_to_expr(lhs)
         return {elhs / erhs: 1}

python/tvm/split.py

@@ -0,0 +1,22 @@
+from __future__ import absolute_import as _abs
+from . import expr as _expr
+from . import domain as _dom
+from . import tensor as _tensor
+
+
+class Split(object):
+    def __init__(self, dim, factor):
+        self.dim = dim
+        self.factor = factor
+        self.loop_index = _expr.Var('loop_index_%d_' % dim)
+
+    def infer_inner_domain(self, domain):
+        if isinstance(domain, _dom.RDom):
+            domain = domain.domain
+        assert self.dim < len(domain)
+        inner_domain = domain[:]
+        dim_out_range = domain[self.dim]
+        dim_inner_begin = dim_out_range.begin + self.loop_index * self.factor
+        inner_domain[self.dim] = _dom.Range(dim_inner_begin, dim_inner_begin + self.factor)
+        return inner_domain
+

python/tvm/tensor.py

@@ -25,7 +25,6 @@ class Tensor(object):
 
         self.name = name if name else "TensorObj"
         self.inputs = None
-        self.rdom = None
 
     def __call__(self, *indices):
         if len(indices) != self.ndim:

tests/python/test_basic.py

@@ -26,6 +26,6 @@ def test_simplify():
     assert tvm.format_str(tvm.simplify(e4)) == '0'
 
 if __name__ == "__main__":
-    test_simplify()
     test_basic()
     test_bind()
+    test_simplify()

tests/python/test_split.py

@@ -0,0 +1,24 @@
+import tvm
+
+def test_split_dom_infer():
+    A = tvm.Tensor(2, name='A')
+    rd = tvm.RDom(tvm.Range(A.shape[1]))
+    split1 = tvm.Split(0, 64)
+    split2 = tvm.Split(1, 64)
+    split3 = tvm.Split(0, 8)
+    dom = [tvm.Range(A.shape[0]), tvm.Range(A.shape[1])]
+    dom1 = split1.infer_inner_domain(dom)
+    dom2 = split2.infer_inner_domain(dom1)
+    dom3 = split3.infer_inner_domain(dom2)
+    dom4 = split3.infer_inner_domain(rd)
+    i1 = split1.loop_index.name
+    i2 = split2.loop_index.name
+    i3 = split3.loop_index.name
+    assert str(dom1) == "[((%s * 64), ((%s * 64) + 64)), (0, A_shape_1_0)]" % (i1, i1)
+    assert str(dom2) == "[((%s * 64), ((%s * 64) + 64)), ((%s * 64), ((%s * 64) + 64))]" % (i1, i1, i2, i2)
+    assert str(dom3) == "[(((%s * 64) + (%s * 8)), (((%s * 64) + (%s * 8)) + 8)), ((%s * 64), ((%s * 64) + 64))]" % (i1, i3, i1, i3, i2, i2)
+    assert str(dom4) == "[((%s * 8), ((%s * 8) + 8))]" % (i3, i3)
+
+
+if __name__ == "__main__":
+    test_split_dom_infer()