"""Example code to do convolution. Copied from topi/tests/python/test_topi_conv2d_nchw.py. Should be removed once we fix OpenGL testing on Jenkins.""" import os import numpy as np import tvm import topi from tvm.contrib.pickle_memoize import memoize from topi.util import get_const_tuple def verify_conv2d_nchw(batch, in_channel, in_size, num_filter, kernel, stride, padding): in_height = in_width = in_size 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_nchw(A, W, stride, padding) C = topi.nn.relu(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_con2d_nchw") 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) c_np = np.maximum(b_np, 0) return a_np, w_np, b_np, c_np a_np, w_np, b_np, c_np = get_ref_data() def check_device(device): ctx = tvm.context(device, 0) if not ctx.exist: print("Skip because %s is not enabled" % device) return print("Running on target: %s" % device) with tvm.target.create(device): s1 = topi.generic.schedule_conv2d_nchw([B]) s2 = topi.generic.schedule_conv2d_nchw([C]) 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) c = tvm.nd.array(np.zeros(get_const_tuple(C.shape), dtype=C.dtype), ctx) with tvm.build_config(auto_unroll_max_step=1400, unroll_explicit=(device != "cuda")): func1 = tvm.build(s1, [A, W, B], device, name="conv2d_%d_%d_%d_%d_%d_%d_%d" % (batch, in_channel, in_size, num_filter, kernel, stride, padding)) func2 = tvm.build(s2, [A, W, C], device, name="relu_%d_%d_%d_%d_%d_%d_%d" % (batch, in_channel, in_size, num_filter, kernel, stride, padding)) func1(a, w, b) func2(a, w, c) np.testing.assert_allclose(b.asnumpy(), b_np, rtol=1e-5) np.testing.assert_allclose(c.asnumpy(), c_np, rtol=1e-5) for device in ['opengl']: check_device(device) def test_conv2d_nchw(): # ResNet18 worklaods verify_conv2d_nchw(1, 3, 224, 64, 7, 2, 3) verify_conv2d_nchw(1, 64, 56, 64, 3, 1, 1) verify_conv2d_nchw(1, 64, 56, 64, 1, 1, 0) verify_conv2d_nchw(1, 64, 56, 128, 3, 2, 1) verify_conv2d_nchw(1, 64, 56, 128, 1, 2, 0) verify_conv2d_nchw(1, 128, 28, 128, 3, 1, 1) verify_conv2d_nchw(1, 128, 28, 256, 3, 2, 1) verify_conv2d_nchw(1, 128, 28, 256, 1, 2, 0) verify_conv2d_nchw(1, 256, 14, 256, 3, 1, 1) verify_conv2d_nchw(1, 256, 14, 512, 3, 2, 1) verify_conv2d_nchw(1, 256, 14, 512, 1, 2, 0) verify_conv2d_nchw(1, 512, 7, 512, 3, 1, 1) # Vgg16 workloads verify_conv2d_nchw(1, 128, 122, 128, 3, 1, 1) # Super resolution workloads verify_conv2d_nchw(1, 1, 224, 64, 5, 1, 2) verify_conv2d_nchw(1, 64, 224, 64, 3, 1, 1) verify_conv2d_nchw(1, 64, 224, 32, 3, 1, 1) verify_conv2d_nchw(1, 32, 224, 9, 3, 1, 1) if __name__ == "__main__": test_conv2d_nchw()