abergeron commented on a change in pull request #4303: [TOPI][Relay][OP] Add a
strided_set operation.
URL: https://github.com/apache/incubator-tvm/pull/4303#discussion_r351452864
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File path: topi/tests/python/test_topi_transform.py
##########
@@ -342,6 +342,52 @@ def check_device(device):
for device in ["llvm", "opencl", "sdaccel", "aocl_sw_emu"]:
check_device(device)
+def verify_strided_set(in_shape, v_shape, begin, end, strides=None):
+ A = tvm.placeholder(shape=in_shape, name="A")
+ V = tvm.placeholder(shape=v_shape, name="V")
+ b = tvm.placeholder(shape=(len(begin),), name="b", dtype='int32')
+ e = tvm.placeholder(shape=(len(end),), name="e", dtype='int32')
+ if strides is not None:
+ st = tvm.placeholder(shape=(len(strides),), name="st", dtype='int32')
+ B = topi.strided_set(A, V, b, e, st) + 1
+ else:
+ B = topi.strided_set(A, V, b, e) + 1
+
+ def check_device(device):
+ ctx = tvm.context(device, 0)
+ if not ctx.exist:
+ print("Skip because %s is not enabled" % device)
+ return
+ print("Running on target: %s" % device)
+ with tvm.target.create(device):
+ s = topi.generic.schedule_injective(B)
+
+ if strides is not None:
+ foo = tvm.build(s, [A, V, b, e, st, B], device, name="stride_set")
+ s_np = np.asarray(strides).astype('int32')
+ s_nd = tvm.nd.array(s_np, ctx)
+ else:
+ foo = tvm.build(s, [A, V, b, e, B], device, name="stride_set")
+ x_np = np.random.uniform(size=in_shape).astype(A.dtype)
+ v_np = np.random.uniform(size=v_shape).astype(V.dtype)
+ b_np = np.asarray(begin).astype('int32')
+ e_np = np.asarray(end).astype('int32')
+ out_npy = topi.testing.strided_set_python(
+ x_np, v_np, begin, end, strides) + 1
Review comment:
It mirrors the +1 in topi expression above. As to why this does +1 at all,
I don't know, but strided_slice does that so I did the same.
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