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A few wording changes, plus fix of ai2es in the first git clone
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colab_notebooks/Notebook06_Convolutions_PyTorch.ipynb

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"colab_type": "text"
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},
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"source": [
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"<a href=\"https://colab.research.google.com/github/ssec/WAF_ML_Tutorial_Part2/blob/2-confusion-about-interpolating/colab_notebooks/Notebook06_Convolutions_PyTorch.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"<a href=\"https://colab.research.google.com/github/ssec/WAF_ML_Tutorial_Part2/blob/main/colab_notebooks/Notebook06_Convolutions_PyTorch.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"cell_type": "code",
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"source": [
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"print('grabbing the Github repo')\n",
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"!git clone https://github.com/ai2es/WAF_ML_Tutorial_Part2.git\n",
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"!git clone https://github.com/ssec/WAF_ML_Tutorial_Part2.git\n",
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"print('done')"
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],
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"metadata": {
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"id": "x2m10lWrHr_R",
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"outputId": "a0fcf4ba-0837-49a9-b7da-4c9870b31550"
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},
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"execution_count": 1,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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{
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"cell_type": "code",
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"source": [
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"# %%\n",
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"# Convert xarray data to numpy, then to a torch tensor\n",
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"input_data = ds_sample.radar_image_matrix.isel(radar_height=slice(0,1),radar_field=0).values\n",
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"\n",
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"id": "zo_JAULelGBC",
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"outputId": "313fa14f-3be3-47e5-cbc5-48e964a80505"
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},
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"execution_count": 5,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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{
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"cell_type": "code",
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"source": [
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"# interpolate from (1, 1, 32, 32), (1, 1, 36, 36)\n",
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"# interpolate from (1, 1, 32, 32) to (1, 1, 36, 36)\n",
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"more_points = F.interpolate(input_tensor, size=(36, 36), mode='bilinear', align_corners=False)\n"
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],
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"metadata": {
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"id": "rnhhUlxnnLBT"
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},
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"execution_count": 15,
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"execution_count": null,
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"outputs": []
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},
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{
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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},
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",

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