jsheng-jian commented on code in PR #11190:
URL: https://github.com/apache/tvm/pull/11190#discussion_r865465324
##########
tests/python/relay/test_op_level3.py:
##########
@@ -1784,23 +1784,6 @@ def test_segment_sum(
)
-def verify_func(target, dev, func, data, ref_res):
- assert isinstance(data, list)
- for kind in ["vm"]:
- mod = tvm.ir.IRModule.from_expr(func)
- op_res = relay.create_executor(kind, mod=mod, device=dev,
target=target).evaluate()(*data)
- if isinstance(op_res, tvm.runtime.container.ADT):
- assert len(op_res) == len(
- ref_res
- ), "Outputs from TVM and Python implementation must be equal "
-
- for op_result, ref_result in zip(op_res, ref_res):
- tvm.testing.assert_allclose(op_result.numpy(), ref_result,
rtol=1e-5)
- else:
- tvm.testing.assert_allclose(op_res.numpy(), ref_res, rtol=1e-5)
- relay.backend.te_compiler.get().clear()
-
-
Review Comment:
Done
##########
python/tvm/relay/op/transform.py:
##########
@@ -1823,3 +1823,40 @@ def invert_permutation(data):
relay.invert_permutation(data) = [2, 4, 3, 0, 1]
"""
return _make.invert_permutation(data)
+
+
+def stft(data, n_fft, hop_length, win_length, window, normalized, onesided):
+ """
+ The STFT computes the Fourier transform of short overlapping windows of
the input.
+ This giving frequency components of the signal as they change over time.
Review Comment:
Fixed.
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