dynamic conv2d for cuda (apache#6598)

TusharKanekiDey · Oct 15, 2020 · 736a844 · 736a844
1 parent e5ef9fc
commit 736a844
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Showing 6 changed files with 41 additions and 11 deletions.
diff --git a/include/tvm/tir/expr.h b/include/tvm/tir/expr.h
@@ -1085,9 +1085,11 @@ class Reduce : public PrimExpr {
 /*! \brief Any shape. */
 class AnyNode : public PrimExprNode {
  public:
-  void VisitAttrs(AttrVisitor* v) {}
+  void VisitAttrs(AttrVisitor* v) { v->Visit("dtype", &dtype); }
 
-  bool SEqualReduce(const AnyNode* other, SEqualReducer equal) const { return true; }
+  bool SEqualReduce(const AnyNode* other, SEqualReducer equal) const {
+    return equal(dtype, other->dtype);
+  }
 
   void SHashReduce(SHashReducer hash_reduce) const {}
 

diff --git a/python/tvm/topi/cuda/conv2d_direct.py b/python/tvm/topi/cuda/conv2d_direct.py
@@ -117,4 +117,6 @@ def schedule_direct_cuda(cfg, s, conv):
 
     N, CO, OH, OW = get_const_tuple(output.shape)
     _, KH, KW, CI = get_const_tuple(kernel.shape)
-    cfg.add_flop(2 * N * OH * OW * CO * CI * KH * KW)
+
+    if isinstance(N, int):
+        cfg.add_flop(2 * N * OH * OW * CO * CI * KH * KW)
diff --git a/python/tvm/topi/cuda/conv2d_nhwc_winograd.py b/python/tvm/topi/cuda/conv2d_nhwc_winograd.py
@@ -302,6 +302,15 @@ def nhwc_winograd_cuda(
     tile_size = _infer_tile_size(data, kernel)
     N, H, W, CI = get_const_tuple(data.shape)
 
+    if isinstance(N, tvm.tir.Any):
+        N = tvm.te.size_var("n")
+
+    if not isinstance(H, int) or not isinstance(W, int):
+        raise RuntimeError(
+            "cuda winograd nhwc conv2d doesn't support dynamic \
+                           input height or width."
+        )
+
     if isinstance(dilation, int):
         dilation_h = dilation_w = dilation
     else:
@@ -330,7 +339,7 @@ def nhwc_winograd_cuda(
     H = (H + pt + pb - KH) // HSTR + 1
     W = (W + pl + pr - KW) // WSTR + 1
     nH, nW = (H + m - 1) // m, (W + m - 1) // m
-    P = N * nH * nW
+    P = N * nH * nW if isinstance(N, int) else nH * nW
 
     # Determine whether the shape is available with tensorcore
     shape_judge = (
@@ -432,7 +441,8 @@ def nhwc_winograd_cuda(
         name="output",
         tag="conv2d_nhwc_winograd",
     )
-    cfg.add_flop(2 * N * CO * H * W * CI * KH * KW)
+    if isinstance(N, int):
+        cfg.add_flop(2 * N * CO * H * W * CI * KH * KW)
     return output
 
 

diff --git a/python/tvm/topi/cuda/conv2d_winograd.py b/python/tvm/topi/cuda/conv2d_winograd.py
@@ -44,6 +44,15 @@ def winograd_cuda(cfg, data, kernel, strides, padding, dilation, out_dtype, pre_
 
     N, CI, H, W = get_const_tuple(data.shape)
 
+    if isinstance(N, tvm.tir.Any):
+        N = tvm.te.size_var("n")
+
+    if not isinstance(H, int) or not isinstance(W, int):
+        raise RuntimeError(
+            "cuda winograd conv2d doesn't support dynamic input\
+                           height or width."
+        )
+
     if isinstance(dilation, int):
         dilation_h = dilation_w = dilation
     else:
@@ -73,7 +82,8 @@ def winograd_cuda(cfg, data, kernel, strides, padding, dilation, out_dtype, pre_
     H = (H + pt + pb - KH) // HSTR + 1
     W = (W + pl + pr - KW) // WSTR + 1
     nH, nW = (H + m - 1) // m, (W + m - 1) // m
-    P = N * nH * nW
+
+    P = N * nH * nW if isinstance(N, int) else nH * nW
 
     # transform kernel
     if not pre_computed:
@@ -141,7 +151,9 @@ def winograd_cuda(cfg, data, kernel, strides, padding, dilation, out_dtype, pre_
         name="output",
         tag="conv2d_nchw_winograd",
     )
-    cfg.add_flop(2 * N * CO * H * W * CI * KH * KW)
+
+    if isinstance(N, int):
+        cfg.add_flop(2 * N * CO * H * W * CI * KH * KW)
 
     return output
 

diff --git a/src/tir/ir/expr.cc b/src/tir/ir/expr.cc
@@ -908,7 +908,11 @@ TVM_STATIC_IR_FUNCTOR(ReprPrinter, vtable)
     });
 
 // Any
-Any::Any() { data_ = make_object<AnyNode>(); }
+Any::Any() {
+  auto n = make_object<AnyNode>();
+  n->dtype = DataType::Int(32);
+  data_ = std::move(n);
+}
 
 TVM_REGISTER_GLOBAL("tir.Any").set_body_typed([]() { return Any(); });
 

diff --git a/tests/python/relay/test_any.py b/tests/python/relay/test_any.py
@@ -444,7 +444,7 @@ def verify_any_conv2d(
 
 
 # TODO(@kevinthesun): Support dynamic input height and width.
-# TODO(@kevinthesun): Support gpu to enable gpu tests.
+@tvm.testing.uses_gpu
 def test_any_conv2d():
     verify_any_conv2d(
         (relay.Any(), 64, 224, 224),
@@ -501,7 +501,7 @@ def verify_any_conv2d_NCHWc(
 
 
 # TODO(@kevinthesun): Support dynamic input height and width.
-# TODO(@kevinthesun): Support gpu to enable gpu tests.
+@tvm.testing.uses_gpu
 def test_any_conv2d_NCHWc():
     verify_any_conv2d_NCHWc(
         (relay.Any(), 8, 224, 224, 8),
@@ -563,7 +563,7 @@ def verify_any_conv2d_transpose_nchw(
 
 
 # TODO(@kevinthesun): Support dynamic input height and width.
-# TODO(@kevinthesun): Support gpu to enable gpu tests.
+@tvm.testing.uses_gpu
 def test_any_conv2d_transpose_nchw():
     verify_any_conv2d_transpose_nchw(
         (relay.Any(), 64, 224, 224),