tests/python/runtime/test_runtime_graph_cuda_graph.py

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import json
import os
import re
import sys
import time

import pytest

import tvm
import tvm.testing
from tvm import te
import numpy as np

from tvm.contrib import utils, graph_executor
from tvm.contrib.cuda_graph import cuda_graph_executor


bx = te.thread_axis("blockIdx.x")
tx = te.thread_axis("threadIdx.x")


@tvm.testing.requires_cudagraph
def test_graph_simple():
    n = 32
    A = te.placeholder((n,), name="A")
    B = te.compute(A.shape, lambda *i: A(*i) + 1.0, name="B")
    s = te.create_schedule(B.op)
    xo, xi = s[B].split(B.op.axis[0], factor=8)
    s[B].bind(xo, bx)
    s[B].bind(xi, tx)

    node0 = {"op": "null", "name": "x", "inputs": []}
    node1 = {
        "op": "tvm_op",
        "name": "add",
        "inputs": [[0, 0, 0]],
        "attrs": {"func_name": "myadd", "flatten_data": "1", "num_inputs": "1", "num_outputs": "1"},
    }
    nodes = [node0, node1]
    arg_nodes = [0]
    node_row_ptr = [0, 1, 2]
    outputs = [[1, 0, 0]]
    shape = (n,)
    attrs = {
        "shape": ["list_shape", [shape, shape]],
        "dltype": ["list_str", ["float32", "float32"]],
        "storage_id": ["list_int", [0, 1]],
    }
    graph = {
        "nodes": nodes,
        "arg_nodes": arg_nodes,
        "node_row_ptr": node_row_ptr,
        "heads": outputs,
        "attrs": attrs,
    }
    graph = json.dumps(graph)

    def check_verify():
        mlib = tvm.build(s, [A, B], "cuda", name="myadd")
        dev = tvm.cuda(0)
        try:
            mod = cuda_graph_executor.create(graph, mlib, dev)
        except ValueError:
            return

        for i in range(3):
            a = np.random.uniform(size=(n,)).astype(A.dtype)
            mod.run(x=a)  # The first run captured a CUDA graph
            out = mod.get_output(0, tvm.nd.empty((n,)))
            np.testing.assert_equal(out.numpy(), a + 1)

        # capture / run CUDA graph manually
        mod.capture_cuda_graph()
        a = np.random.uniform(size=(n,)).astype(A.dtype)
        mod.set_input(x=a)
        mod.run_cuda_graph()
        out = mod.get_output(0, tvm.nd.empty((n,)))
        np.testing.assert_equal(out.numpy(), a + 1)

    check_verify()


if __name__ == "__main__":
    test_graph_simple()