"""Example code to do conv2d.""" import os import numpy as np import tvm import topi import topi.testing from tvm.contrib.pickle_memoize import memoize from topi.util import get_const_tuple def verify_conv2d(batch, in_size, in_channel, num_filter, kernel, stride, padding): in_height = in_width = in_size with tvm.target.rasp(): A = tvm.placeholder((batch, in_channel, in_height, in_width), name='A') W = tvm.placeholder((num_filter, in_channel, kernel, kernel), name='W') B = topi.nn.conv2d(A, W, stride, padding) s = topi.generic.schedule_conv2d_nchw([B]) a_shape = get_const_tuple(A.shape) w_shape = get_const_tuple(W.shape) dtype = A.dtype @memoize("topi.tests.test_topi_conv2d.verify_conv2d") def get_ref_data(): a_np = np.random.uniform(size=a_shape).astype(dtype) w_np = np.random.uniform(size=w_shape).astype(dtype) b_np = topi.testing.conv2d_nchw_python(a_np, w_np, stride, padding) return a_np, w_np, b_np a_np, w_np, b_np = get_ref_data() ctx = tvm.cpu(0) a = tvm.nd.array(a_np, ctx) w = tvm.nd.array(w_np, ctx) b = tvm.nd.array(np.zeros(get_const_tuple(B.shape), dtype=B.dtype), ctx) func = tvm.build(s, [A, W, B], "llvm") func(a, w, b) np.testing.assert_allclose(b.asnumpy(), b_np, rtol=1e-5) def test_conv2d(): verify_conv2d(1, 56, 64, 64, 3, 1, 1) if __name__ == "__main__": test_conv2d()