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Fix bugs 1.PartI-DifferentiableForwardModel.ipynb #4

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Fix bugs 1.PartI-DifferentiableForwardModel.ipynb #4

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80 changes: 59 additions & 21 deletions cf_notebooks/1.PartI-DifferentiableForwardModel.ipynb
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Original file line number Diff line number Diff line change
@@ -1,15 +1,5 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/EiffL/Quarks2CosmosDataChallenge/blob/colab/notebooks/PartI-DifferentiableForwardModel.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
Expand Down Expand Up @@ -1084,6 +1074,31 @@
" return {'image':x[...,0], 'psf':example['psf']}"
]
},
{
"cell_type": "code",
"source": [
"def clean_data(example):\n",
" im = example['image']\n",
" psf = example['psf']\n",
" return (tf.math.reduce_all(tf.math.is_finite(im)) and tf.math.reduce_all(tf.math.is_finite(psf)))"
],
"metadata": {
"id": "fS0ysRrE3R_V"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"clean_data(next(iter(dset_cosmos)))"
],
"metadata": {
"id": "VhlG2wid4mI_"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"execution_count": null,
Expand All @@ -1095,6 +1110,7 @@
"# Load COSMOS\n",
"dset_cosmos = tfds.load(\"Cosmos/23.5\", split=tfds.Split.TRAIN,\n",
" data_dir='galsim/tensorflow_datasets')\n",
"dset_cosmos = dset_cosmos.filter(clean_data)\n",
"dset_cosmos = dset_cosmos.cache()\n",
"dset_cosmos = dset_cosmos.repeat()\n",
"dset_cosmos = dset_cosmos.map(preprocess)\n",
Expand All @@ -1103,6 +1119,7 @@
"# Load HSC\n",
"dset_hsc = tfds.load(\"HSC\", split=tfds.Split.TRAIN,\n",
" data_dir='galsim/tensorflow_datasets')\n",
"dset_hsc = dset_hsc.filter(clean_data)\n",
"dset_hsc = dset_hsc.cache()\n",
"dset_hsc = dset_hsc.repeat()\n",
"dset_hsc = dset_hsc.shuffle(10000)\n",
Expand Down Expand Up @@ -1317,14 +1334,25 @@
"outputs": [],
"source": [
"@jax.jit\n",
"def update(params, rng, opt_state):\n",
"def update(params, rng, opt_state, batch):\n",
" loss, grads = jax.value_and_grad(loss_fn)(params, rng, batch)\n",
" updates, opt_state = optimizer.update(grads, opt_state)\n",
" # Apply gradient descent\n",
" params = optax.apply_updates(params, updates)\n",
" return loss, params, opt_state"
]
},
{
"cell_type": "code",
"source": [
"import copy"
],
"metadata": {
"id": "zi0Fqh5RwVhc"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"execution_count": null,
Expand All @@ -1333,12 +1361,20 @@
},
"outputs": [],
"source": [
"last_loop = [0,0,0,0, 0]\n",
"for i in range(10000):\n",
" batch = next(combined_dset)\n",
" loss, params, opt_state = update(params, next(rng_seq), opt_state)\n",
" rng_seed = next(rng_seq)\n",
" loss, params, opt_state = update(params, rng_seed, opt_state, batch)\n",
" if not np.isnan(last_loop[1]):\n",
" last_last_loop = copy.deepcopy(last_loop)\n",
" last_loop = [copy.deepcopy(batch), copy.deepcopy(loss), copy.deepcopy(params), copy.deepcopy(opt_state), copy.deepcopy(rng_seed)]\n",
" else:\n",
" break\n",
" losses.append(loss)\n",
" if i %100 ==0:\n",
" print('step',i,loss)"
" print('step',i,loss)\n",
" # print('step',i,loss)"
]
},
{
Expand All @@ -1361,13 +1397,15 @@
"outputs": [],
"source": [
"# Create a test dataset\n",
"dset_cosmos_test = tfds.load(\"Cosmos/23.5\",\n",
" split=tfds.Split.TEST)\n",
"dset_cosmos_test = tfds.load(\"Cosmos/23.5\", split=tfds.Split.TEST,\n",
" data_dir='galsim/tensorflow_datasets')\n",
"dset_cosmos_test = dset_cosmos.filter(clean_data)\n",
"dset_cosmos_test = dset_cosmos_test.cache()\n",
"dset_cosmos_test = dset_cosmos_test.repeat()\n",
"\n",
"dset_hsc = tfds.load(\"HSC\",\n",
" split=tfds.Split.TRAIN)\n",
"dset_hsc = tfds.load(\"HSC\", split=tfds.Split.TRAIN,\n",
" data_dir='galsim/tensorflow_datasets')\n",
"dset_hsc = dset_hsc.filter(clean_data)\n",
"dset_hsc = dset_hsc.cache()\n",
"dset_hsc = dset_hsc.repeat()\n",
"dset_hsc = dset_hsc.shuffle(10000)\n",
Expand Down Expand Up @@ -1438,7 +1476,6 @@
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
Expand All @@ -1455,9 +1492,10 @@
},
"colab": {
"provenance": [],
"include_colab_link": true
}
"gpuType": "V100"
},
"accelerator": "GPU"
},
"nbformat": 4,
"nbformat_minor": 0
}
}