codeislife99 commented on a change in pull request #7442:
URL: https://github.com/apache/tvm/pull/7442#discussion_r576393102
##########
File path: tests/python/frontend/tensorflow/test_forward.py
##########
@@ -1812,6 +1812,109 @@ def test_forward_sparse_dense_matmul():
)
+#######################################################################
+# SparseFillEmptyRows
+# ------------
+
+
+def _test_sparse_fill_empty_rows(indices_np, values_np, dense_shape_np,
default_value_int, use_dyn):
+ with tf.Graph().as_default():
+ if use_dyn:
+ indices = tf.placeholder(shape=(None, None),
dtype=indices_np.dtype, name="indices")
+ values = tf.placeholder(shape=(None), dtype=values_np.dtype,
name="values")
+ dense_shape = tf.placeholder(
+ shape=(None), dtype=dense_shape_np.dtype, name="dense_shape"
+ )
+ else:
+ indices = tf.placeholder(shape=indices_np.shape,
dtype=indices_np.dtype, name="indices")
+ values = tf.placeholder(shape=values_np.shape,
dtype=values_np.dtype, name="values")
+ dense_shape = tf.placeholder(
+ shape=dense_shape_np.shape, dtype=dense_shape_np.dtype,
name="dense_shape"
+ )
+
+ default_value = tf.placeholder(shape=(), dtype=values_np.dtype,
name="default_value")
+ sp_input = tf.sparse.SparseTensor(indices=indices, values=values,
dense_shape=dense_shape)
+ _ = tf.sparse.fill_empty_rows(sp_input, default_value,
name="sparse_fill_empty_rows")
+ compare_tf_with_tvm(
+ [indices_np, values_np, dense_shape_np, default_value_int],
+ [indices.name, values.name, dense_shape.name, default_value.name],
+ [
+ "sparse_fill_empty_rows/SparseFillEmptyRows:0",
+ "sparse_fill_empty_rows/SparseFillEmptyRows:1",
+ "sparse_fill_empty_rows/SparseFillEmptyRows:2",
+ ],
+ mode="vm",
+ )
+
+
[email protected](
+ "sparse_indices_np, sparse_values_np, dense_shape_np, default_value_int",
+ [
+ (
+ np.array([[1, 1], [0, 3], [0, 1], [2, 0], [3, 1]], dtype=np.int64),
Review comment:
So this is a valid test case.
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