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[FIX] resolve int64/32 for AttrStmtNode #10983

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Merged
merged 5 commits into from
Apr 13, 2022
Merged

[FIX] resolve int64/32 for AttrStmtNode #10983

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e1cb085
resolve int64/32 for AttrStmtNode
ganler Apr 12, 2022
17da5db
rm debug header
ganler Apr 12, 2022
eeaf5ce
refine
ganler Apr 12, 2022
fd40e92
add test case
ganler Apr 13, 2022
c8ae6a4
lint
ganler Apr 13, 2022
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12 changes: 11 additions & 1 deletion src/tir/transforms/narrow_datatype.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -276,7 +276,17 @@ class DataTypeRewriter : public StmtExprMutator {
PrimExpr e = VisitExpr(iv->var);
Var var = Downcast<Var>(e);
if (ivmap_.find(iv) == ivmap_.end()) {
ivmap_[iv] = IterVar(iv->dom, var, iv->iter_type, iv->thread_tag);
Range dom = iv->dom;
if (dom.defined()) {
PrimExpr extend = dom->extent;
if (extend.dtype().is_int() && var.dtype().is_int() &&
var.dtype().bits() != extend.dtype().bits()) {
int bits = std::max(extend.dtype().bits(), var.dtype().bits());
DataType dtype = var.dtype().with_bits(bits);
dom = Range(cast(dtype, dom->min), cast(dtype, extend), dom->span);
}
}
ivmap_[iv] = IterVar(dom, var, iv->iter_type, iv->thread_tag);
}
return AttrStmt(ivmap_[iv], op->attr_key, cast(var.dtype(), op->value), op->body);
}
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17 changes: 17 additions & 0 deletions tests/python/relay/test_op_level10.py
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Original file line number Diff line number Diff line change
Expand Up @@ -229,6 +229,23 @@ def test_broadcast_to():
tvm.testing.assert_allclose(op_res.numpy(), ref_res, rtol=1e-5)


@tvm.testing.uses_gpu
def test_broadcast_to_const_shape_int64():
shape_like = relay.const(np.array([1, 5]), dtype="int64")
x = relay.var("x", shape=(1,), dtype="int64")
z = relay.broadcast_to(x, shape=shape_like)
z = relay.sum(z, axis=0)

f = relay.Function([x], z)

x = np.random.randint(10, size=(1,), dtype="int64")
ref_res = np.broadcast_to(x, (5,))
for target, dev in tvm.testing.enabled_targets():
for kind in ["graph", "debug"]:
op_res = relay.create_executor(kind, device=dev, target=target).evaluate(f)(x)
tvm.testing.assert_allclose(op_res.numpy(), ref_res)


@tvm.testing.uses_gpu
def test_broadcast_to_like():
shape = (4, 1, 6)
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