|
53 | 53 | "import collections" |
54 | 54 | ] |
55 | 55 | }, |
| 56 | + { |
| 57 | + "cell_type": "code", |
| 58 | + "execution_count": null, |
| 59 | + "metadata": {}, |
| 60 | + "outputs": [], |
| 61 | + "source": [ |
| 62 | + "#| hide\n", |
| 63 | + "from fastcore.test import test_fail" |
| 64 | + ] |
| 65 | + }, |
56 | 66 | { |
57 | 67 | "cell_type": "markdown", |
58 | 68 | "metadata": {}, |
|
217 | 227 | "check_tf_installed()" |
218 | 228 | ] |
219 | 229 | }, |
| 230 | + { |
| 231 | + "cell_type": "markdown", |
| 232 | + "metadata": {}, |
| 233 | + "source": [ |
| 234 | + "## Seed Generator" |
| 235 | + ] |
| 236 | + }, |
| 237 | + { |
| 238 | + "cell_type": "code", |
| 239 | + "execution_count": null, |
| 240 | + "metadata": {}, |
| 241 | + "outputs": [], |
| 242 | + "source": [ |
| 243 | + "#| export\n", |
| 244 | + "class Generator:\n", |
| 245 | + " def __init__(\n", |
| 246 | + " self, \n", |
| 247 | + " *, \n", |
| 248 | + " generator: jrand.Array | torch.Generator = None,\n", |
| 249 | + " ):\n", |
| 250 | + " self._seed = None\n", |
| 251 | + " self._jax_generator = None\n", |
| 252 | + " self._torch_generator = None\n", |
| 253 | + "\n", |
| 254 | + " if generator is None:\n", |
| 255 | + " self._seed = get_config().global_seed\n", |
| 256 | + " elif isinstance(generator, jax.Array):\n", |
| 257 | + " self._jax_generator = generator\n", |
| 258 | + " elif isinstance(generator, torch.Generator):\n", |
| 259 | + " self._torch_generator = generator\n", |
| 260 | + " else:\n", |
| 261 | + " raise ValueError(f\"generator=`{generator}` is invalid. Must be either a `jax.random.PRNGKey` or a `torch.Generator`.\")\n", |
| 262 | + " \n", |
| 263 | + " if self._seed is None and self._torch_generator is not None:\n", |
| 264 | + " self._seed = self._torch_generator.initial_seed()\n", |
| 265 | + "\n", |
| 266 | + " def seed(self) -> int:\n", |
| 267 | + " \"\"\"The initial seed of the generator\"\"\"\n", |
| 268 | + " if self._seed is None:\n", |
| 269 | + " raise ValueError(\"The seed is not specified. Please set the seed using `manual_seed()` or pass a generator.\")\n", |
| 270 | + " return self._seed\n", |
| 271 | + " \n", |
| 272 | + " def manual_seed(self, seed: int) -> Generator:\n", |
| 273 | + " \"\"\"Set the seed for the generator. This will override the initial seed and the generator.\"\"\"\n", |
| 274 | + " \n", |
| 275 | + " if self._jax_generator is not None:\n", |
| 276 | + " self._jax_generator = jrand.PRNGKey(seed)\n", |
| 277 | + " if self._torch_generator is not None:\n", |
| 278 | + " self._torch_generator = torch.Generator().manual_seed(seed)\n", |
| 279 | + " self._seed = seed\n", |
| 280 | + " return self\n", |
| 281 | + " \n", |
| 282 | + " def jax_generator(self) -> jax.Array:\n", |
| 283 | + " \"\"\"The JAX generator\"\"\"\n", |
| 284 | + " if self._jax_generator is None:\n", |
| 285 | + " self._jax_generator = jrand.PRNGKey(self._seed)\n", |
| 286 | + " return self._jax_generator\n", |
| 287 | + " \n", |
| 288 | + " def torch_generator(self) -> torch.Generator:\n", |
| 289 | + " \"\"\"The PyTorch generator\"\"\"\n", |
| 290 | + " check_pytorch_installed()\n", |
| 291 | + " if self._torch_generator is None and self._seed is not None:\n", |
| 292 | + " self._torch_generator = torch.Generator().manual_seed(self._seed)\n", |
| 293 | + " if self._torch_generator is None:\n", |
| 294 | + " raise ValueError(\"Neither pytorch generator or seed is specified.\")\n", |
| 295 | + " return self._torch_generator" |
| 296 | + ] |
| 297 | + }, |
| 298 | + { |
| 299 | + "cell_type": "code", |
| 300 | + "execution_count": null, |
| 301 | + "metadata": {}, |
| 302 | + "outputs": [], |
| 303 | + "source": [ |
| 304 | + "# Example of using the generator\n", |
| 305 | + "g = Generator()\n", |
| 306 | + "assert g.seed() == get_config().global_seed\n", |
| 307 | + "assert jnp.array_equal(g.jax_generator(), jax.random.PRNGKey(get_config().global_seed)) \n", |
| 308 | + "assert g.torch_generator().initial_seed() == get_config().global_seed\n", |
| 309 | + "\n", |
| 310 | + "# Examples of using the generator when passing a `jax.random.PRNGKey` or `torch.Generator`\n", |
| 311 | + "g_jax = Generator(generator=jax.random.PRNGKey(123))\n", |
| 312 | + "assert jnp.array_equal(g_jax.jax_generator(), jax.random.PRNGKey(123))\n", |
| 313 | + "\n", |
| 314 | + "g_torch = Generator(generator=torch.Generator().manual_seed(123))\n", |
| 315 | + "assert g_torch.torch_generator().initial_seed() == 123\n", |
| 316 | + "assert g_torch.seed() == 123\n", |
| 317 | + "assert jnp.array_equal(g_torch.jax_generator(), jax.random.PRNGKey(123))" |
| 318 | + ] |
| 319 | + }, |
| 320 | + { |
| 321 | + "cell_type": "code", |
| 322 | + "execution_count": null, |
| 323 | + "metadata": {}, |
| 324 | + "outputs": [], |
| 325 | + "source": [ |
| 326 | + "#| hide\n", |
| 327 | + "test_fail(g_jax.seed, contains='The seed is not specified')\n", |
| 328 | + "test_fail(g_jax.torch_generator, contains='Neither pytorch generator or seed is specified')" |
| 329 | + ] |
| 330 | + }, |
| 331 | + { |
| 332 | + "cell_type": "code", |
| 333 | + "execution_count": null, |
| 334 | + "metadata": {}, |
| 335 | + "outputs": [], |
| 336 | + "source": [ |
| 337 | + "# Example of using `manual_seed` to set the seed\n", |
| 338 | + "g_jax.manual_seed(456)\n", |
| 339 | + "assert g_jax.seed() == 456\n", |
| 340 | + "assert jnp.array_equal(g_jax.jax_generator(), jax.random.PRNGKey(456))\n", |
| 341 | + "assert g_jax.torch_generator().initial_seed() == 456\n", |
| 342 | + "\n", |
| 343 | + "g_torch.manual_seed(789)\n", |
| 344 | + "assert g_torch.seed() == 789\n", |
| 345 | + "assert g_torch.torch_generator().initial_seed() == 789\n", |
| 346 | + "assert jnp.array_equal(g_torch.jax_generator(), jax.random.PRNGKey(789))" |
| 347 | + ] |
| 348 | + }, |
220 | 349 | { |
221 | 350 | "cell_type": "markdown", |
222 | 351 | "metadata": {}, |
|
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