()
| 289 | |
| 290 | |
| 291 | def test_conv2d(): |
| 292 | remote_obj, tracker = remote() |
| 293 | |
| 294 | def create_model() -> tvm.IRModule: |
| 295 | @tvm.script.ir_module |
| 296 | class Module: |
| 297 | @R.function |
| 298 | def main( |
| 299 | i0: R.Tensor((1, 3, 224, 224), "float32"), |
| 300 | i1: R.Tensor((64, 3, 3, 3), "float32"), |
| 301 | i2: R.Tensor((1, 64, 1, 1), "float32"), |
| 302 | ): |
| 303 | with R.dataflow(): |
| 304 | t0 = R.nn.conv2d(i0, i1, strides=(1, 1), padding=(1, 1)) |
| 305 | t0 = R.add(i2, t0) |
| 306 | R.output(t0) |
| 307 | return t0 |
| 308 | |
| 309 | return Module |
| 310 | |
| 311 | mod = create_model() |
| 312 | verify( |
| 313 | remote_obj, |
| 314 | tracker, |
| 315 | mod, |
| 316 | inputs=[ |
| 317 | np.random.random(size=(1, 3, 224, 224)).astype("float32"), |
| 318 | np.random.random(size=(64, 3, 3, 3)).astype("float32"), |
| 319 | np.random.random(size=(1, 64, 1, 1)).astype("float32"), |
| 320 | ], |
| 321 | ) |
| 322 | |
| 323 | |
| 324 | def test_max_pool2d(): |
nothing calls this directly
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