[GitHub] [tvm] ANSHUMAN87 commented on a change in pull request #7635: [Autoscheduler][Sparse] Add sparse dense end to end model tuning support for x86/arm cpu & Some bug fix

[GitBox <gi...@apache.org>]

ANSHUMAN87 commented on a change in pull request #7635:
URL: https://github.com/apache/tvm/pull/7635#discussion_r593640056



##########
File path: python/tvm/relay/analysis/sparse_dense.py
##########
@@ -92,6 +98,23 @@ def process_params(expr, params, block_size, sparsity_threshold):
             params[name + ".data"] = tvm.nd.array(sparse_weight.data)
             params[name + ".indices"] = tvm.nd.array(sparse_weight.indices)
             params[name + ".indptr"] = tvm.nd.array(sparse_weight.indptr)
+
+            prefix = "sparse_dense_bsr_%d_%d_%d_%d_%.2f_" % (
+                w_np.shape[0],
+                w_np.shape[1],
+                block_size[0],
+                block_size[1],
+                1 - sparsity,
+            )
+            register_task_input_buffer(
+                "default", prefix + "W_data", tvm.runtime.ndarray.array(sparse_weight.data)

Review comment:
       Lets not hard-code it, we can use the {name + ".data", name + ".indices", name + ".indptr"}




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