| """Test code for transposed convolution.""" |
| 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 |
| |
| from common import get_all_backend |
| |
| def verify_conv2d_transpose_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((in_channel, num_filter, kernel, kernel), name='W') |
| |
| a_shape = get_const_tuple(A.shape) |
| w_shape = get_const_tuple(W.shape) |
| dtype = A.dtype |
| |
| @memoize("topi.tests.test_topi_conv2d_transpose.verify_conv2d_transpose_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_transpose_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): |
| B = topi.nn.conv2d_transpose_nchw(A, W, [stride, stride], [padding, padding], A.dtype) |
| C = topi.nn.relu(B) |
| s1 = topi.generic.schedule_conv2d_transpose_nchw([B]) |
| s2 = topi.generic.schedule_conv2d_transpose_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) |
| |
| func1 = tvm.build(s1, [A, W, B], device) |
| func2 = tvm.build(s2, [A, W, C], device) |
| func1(a, w, b) |
| func2(a, w, c) |
| tvm.testing.assert_allclose(b.asnumpy(), b_np, rtol=1e-5) |
| tvm.testing.assert_allclose(c.asnumpy(), c_np, rtol=1e-5) |
| |
| for device in get_all_backend(): |
| check_device(device) |
| |
| |
| def test_conv2d_transpose_nchw(): |
| verify_conv2d_transpose_nchw(1, 3, 224, 32, 3, 1, 0) |
| verify_conv2d_transpose_nchw(1, 3, 224, 32, 3, 2, 1) |
| verify_conv2d_transpose_nchw(1, 32, 32, 128, 5, 1, 0) |
| verify_conv2d_transpose_nchw(1, 32, 32, 128, 5, 2, 1) |
| |
| |
| if __name__ == "__main__": |
| test_conv2d_transpose_nchw() |
