codeislife99 commented on a change in pull request #7562:
URL: https://github.com/apache/tvm/pull/7562#discussion_r585912110
##########
File path: tests/python/relay/test_op_level3.py
##########
@@ -1515,6 +1516,95 @@ def verify_sparse_reshape(
)
[email protected]_gpu
[email protected](
+ "data_np, indices_np, num_segments",
+ [
+ (
+ np.array([5, 1, 7, 2, 3, 4], dtype=np.float32),
+ np.array([0, 0, 1, 1, 0, 1], dtype=np.int32),
+ None,
+ ),
+ (
+ np.array([[1, 2, 3, 4], [-1, -2, -3, -4], [5, 6, 7, 8]],
dtype=np.float64),
+ np.array([0, 0, 1], dtype=np.int32),
+ None,
+ ),
+ (
+ np.random.random((6, 4, 5)),
+ np.array([2, 0, 1, 0, 3, 2], dtype=np.int32),
+ None,
+ ),
+ (
+ np.array([[[1, 7]], [[3, 8]], [[2, 9]]], dtype=np.float32),
+ np.array([0, 0, 1], dtype=np.int32),
+ None,
+ ),
+ (
+ np.random.random((9, 4, 5, 7)),
+ np.array([5, 0, 1, 0, 3, 6, 8, 7, 7], dtype=np.int32),
+ 9,
+ ),
+ ],
+)
[email protected]("use_dyn", [True, False])
+def test_segment_sum(data_np, indices_np, num_segments, use_dyn):
+ def ref_segment_sum(
+ data: np.ndarray,
+ indices: np.ndarray,
+ num_segments: Optional[int] = None,
+ ):
+ """
+ This function calculates the expected output of sparseshape operator
given the inputs.
Review comment:
Done.
##########
File path: tests/python/relay/test_op_level3.py
##########
@@ -1515,6 +1516,95 @@ def verify_sparse_reshape(
)
[email protected]_gpu
[email protected](
+ "data_np, indices_np, num_segments",
+ [
+ (
+ np.array([5, 1, 7, 2, 3, 4], dtype=np.float32),
+ np.array([0, 0, 1, 1, 0, 1], dtype=np.int32),
+ None,
+ ),
+ (
+ np.array([[1, 2, 3, 4], [-1, -2, -3, -4], [5, 6, 7, 8]],
dtype=np.float64),
+ np.array([0, 0, 1], dtype=np.int32),
+ None,
+ ),
+ (
+ np.random.random((6, 4, 5)),
+ np.array([2, 0, 1, 0, 3, 2], dtype=np.int32),
+ None,
+ ),
+ (
+ np.array([[[1, 7]], [[3, 8]], [[2, 9]]], dtype=np.float32),
+ np.array([0, 0, 1], dtype=np.int32),
+ None,
+ ),
+ (
+ np.random.random((9, 4, 5, 7)),
+ np.array([5, 0, 1, 0, 3, 6, 8, 7, 7], dtype=np.int32),
+ 9,
+ ),
+ ],
+)
[email protected]("use_dyn", [True, False])
+def test_segment_sum(data_np, indices_np, num_segments, use_dyn):
+ def ref_segment_sum(
+ data: np.ndarray,
+ indices: np.ndarray,
+ num_segments: Optional[int] = None,
+ ):
+ """
+ This function calculates the expected output of sparseshape operator
given the inputs.
+ """
+ if not num_segments:
+ num_segments = np.unique(indices).shape[0]
+
+ result = np.zeros((num_segments,) + data.shape[1:], data.dtype)
+ for i, index in enumerate(indices):
+ result[index] += data[i]
+ return result
+
+ def verify_segment_sum(
+ data_np: np.ndarray, indices_np: np.ndarray, num_segments:
Optional[int]
+ ):
+ """
+ This function verifies the relay output of sparse_reshape with its
expected output.
Review comment:
Done.
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