tkonolige commented on a change in pull request #7148:
URL: https://github.com/apache/tvm/pull/7148#discussion_r548054955
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File path: python/tvm/topi/x86/sparse.py
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@@ -28,15 +28,17 @@ def schedule_sparse_dense(outs):
def _callback(op):
simd_width = get_fp32_len()
- if op.tag == "sparse_dense_csrmm" and op != outs[0].op:
- (_, v_i) = s[op].op.axis
- s[op].vectorize(v_i)
- (y_o, y_i) = s[outs[0].op].split(s[outs[0].op].op.axis[1], 2 *
simd_width)
- s[op].compute_at(s[outs[0]], y_o)
- s[outs[0].op].vectorize(y_i)
- if op.tag == "sparse_dense_bsrmm":
+ if op.tag == "sparse_dense_csrmm_v2" or op.tag ==
"sparse_dense_csrmm_v1":
+ (y_o, y_i) = s[op].split(s[op].op.axis[1], 2)
+ fused = s[op].fuse(s[op].op.axis[0], y_o)
+ s[op].parallel(fused)
+ s[op].vectorize(y_i)
+ elif op.tag == "sparse_dense_bsrmm_v2" or op.tag ==
"sparse_dense_bsrmm_v1":
Review comment:
Yeah, lets do "sparse_dense_bsrmm_v2" -->
"sparse_dense_bsrmm_sparse_rhs".
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