[GHA] trainer-v4-unit-test/model-init.ipynb result notebooks

#7
by picocreator - opened
Files changed (1) hide show
  1. trainer-v4-unit-test/model-init.ipynb +294 -0
trainer-v4-unit-test/model-init.ipynb ADDED
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+ {
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+ "cells": [
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+ {
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+ "attachments": {},
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+ "cell_type": "markdown",
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+ "id": "52b890f4",
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+ "metadata": {
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+ "papermill": {
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+ "duration": 0.002262,
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+ "end_time": "2023-08-23T10:53:59.090685",
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+ "exception": false,
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+ "start_time": "2023-08-23T10:53:59.088423",
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+ "status": "completed"
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+ },
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+ "tags": []
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+ },
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+ "source": [
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+ "# Model Init\n",
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+ "\n",
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+ "Test that the model init code, runs without issues\n",
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+ "\n",
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+ "**L6-D512 model with**\n",
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+ "- Layer count: 6\n",
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+ "- Embed size: 512"
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+ ]
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+ },
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+ {
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+ "attachments": {},
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+ "cell_type": "markdown",
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+ "id": "f89c248f",
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+ "metadata": {
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+ "notebookRunGroups": {
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+ "groupValue": ""
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+ },
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+ "papermill": {
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+ "duration": 0.001598,
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+ "end_time": "2023-08-23T10:53:59.094424",
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+ "exception": false,
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+ "start_time": "2023-08-23T10:53:59.092826",
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+ "status": "completed"
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+ },
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+ "tags": []
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+ },
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+ "source": [
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+ "## Preparing the init model and test dataset"
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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": 1,
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+ "id": "65ffd8d5",
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+ "metadata": {
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+ "execution": {
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+ "iopub.execute_input": "2023-08-23T10:53:59.099519Z",
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+ "iopub.status.busy": "2023-08-23T10:53:59.099000Z",
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+ "iopub.status.idle": "2023-08-23T10:53:59.849771Z",
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+ "shell.execute_reply": "2023-08-23T10:53:59.848760Z"
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+ },
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+ "papermill": {
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+ "duration": 0.756019,
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+ "end_time": "2023-08-23T10:53:59.852126",
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+ "exception": false,
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+ "start_time": "2023-08-23T10:53:59.096107",
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+ "status": "completed"
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+ },
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+ "tags": []
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+ },
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+ "outputs": [],
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+ "source": [
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+ "# First lets setup the various directories\n",
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+ "!mkdir -p ../../model/\n",
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+ "!mkdir -p ../../datapath/\n",
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+ "!mkdir -p ../../checkpoint/"
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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": 2,
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+ "id": "c3b4c1b4",
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+ "metadata": {
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+ "execution": {
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+ "iopub.execute_input": "2023-08-23T10:53:59.858552Z",
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+ "iopub.status.busy": "2023-08-23T10:53:59.858038Z",
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+ "iopub.status.idle": "2023-08-23T10:54:08.846245Z",
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+ "shell.execute_reply": "2023-08-23T10:54:08.844779Z"
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+ },
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+ "papermill": {
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+ "duration": 8.994708,
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+ "end_time": "2023-08-23T10:54:08.848911",
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+ "exception": false,
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+ "start_time": "2023-08-23T10:53:59.854203",
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+ "status": "completed"
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+ },
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+ "tags": []
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+ },
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+ "outputs": [
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "[2023-08-23 10:54:04,147] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)\r\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "[RWKV.model] Running RWKV model using 'torch-jit' with torch '2.0.1+cu118'\r\n",
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+ "---- Initializing model ----\r\n",
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+ "No of layers: 6\r\n",
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+ "Embedding size: 512\r\n",
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+ "Output model path: ../model/L6-D512-neox-init.pth\r\n",
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+ "Vocab size: 50277\r\n",
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+ "Note: this process takes a significant time (and ram) for large models\r\n",
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+ "---- ----- ----\r\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "Using /root/.cache/torch_extensions/py310_cu118 as PyTorch extensions root...\r\n",
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+ "Detected CUDA files, patching ldflags\r\n",
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+ "Emitting ninja build file /root/.cache/torch_extensions/py310_cu118/wkv_1_bf16/build.ninja...\r\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "Building extension module wkv_1_bf16...\r\n",
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+ "Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)\r\n",
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+ "ninja: no work to do.\r\n",
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+ "Loading extension module wkv_1_bf16...\r\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "[RWKV.model]: Finished initial model load\r\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "50277 512 -0.0001 emb.weight\r\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "512 512 0 blocks.0.att.key.weight\r\n",
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+ "512 512 1.0 blocks.0.att.value.weight\r\n",
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+ "512 512 0 blocks.0.att.receptance.weight\r\n",
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+ "512 512 0 blocks.0.att.output.weight\r\n",
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+ "2048 512 1.0 blocks.0.ffn.key.weight\r\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "512 512 0 blocks.0.ffn.receptance.weight\r\n",
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+ "512 2048 0 blocks.0.ffn.value.weight\r\n",
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+ "512 512 0 blocks.1.att.key.weight\r\n",
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+ "512 512 1.0 blocks.1.att.value.weight\r\n"
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "512 512 0 blocks.1.att.receptance.weight\r\n",
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+ "512 512 0 blocks.1.att.output.weight\r\n",
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+ "2048 512 1.0 blocks.1.ffn.key.weight\r\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "text": [
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+ "512 512 0 blocks.1.ffn.receptance.weight\r\n",
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+ "512 2048 0 blocks.1.ffn.value.weight\r\n",
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+ "512 512 0 blocks.2.att.key.weight\r\n",
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+ "512 512 1.0 blocks.2.att.value.weight\r\n",
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+ "512 512 0 blocks.2.att.receptance.weight\r\n",
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+ "512 512 0 blocks.2.att.output.weight\r\n",
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+ "2048 512 1.0 blocks.2.ffn.key.weight\r\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "512 512 0 blocks.2.ffn.receptance.weight\r\n",
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+ "512 2048 0 blocks.2.ffn.value.weight\r\n",
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+ "512 512 0 blocks.3.att.key.weight\r\n",
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+ "512 512 1.0 blocks.3.att.value.weight\r\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "512 512 0 blocks.3.att.receptance.weight\r\n",
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+ "512 512 0 blocks.3.att.output.weight\r\n",
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+ "2048 512 1.0 blocks.3.ffn.key.weight\r\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "512 512 0 blocks.3.ffn.receptance.weight\r\n",
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+ "512 2048 0 blocks.3.ffn.value.weight\r\n",
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+ "512 512 0 blocks.4.att.key.weight\r\n",
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+ "512 512 1.0 blocks.4.att.value.weight\r\n",
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+ "512 512 0 blocks.4.att.receptance.weight\r\n",
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+ "512 512 0 blocks.4.att.output.weight\r\n",
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+ "2048 512 1.0 blocks.4.ffn.key.weight\r\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "512 512 0 blocks.4.ffn.receptance.weight\r\n",
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+ "512 2048 0 blocks.4.ffn.value.weight\r\n",
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+ "512 512 0 blocks.5.att.key.weight\r\n",
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+ "512 512 1.0 blocks.5.att.value.weight\r\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "512 512 0 blocks.5.att.receptance.weight\r\n",
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+ "512 512 0 blocks.5.att.output.weight\r\n",
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+ "2048 512 1.0 blocks.5.ffn.key.weight\r\n",
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+ "512 512 0 blocks.5.ffn.receptance.weight\r\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "512 2048 0 blocks.5.ffn.value.weight\r\n",
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+ "50277 512 0.5 head.weight\r\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "# Lets initialized the L6-D512 model with the init_model.py code\n",
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+ "!cd ../../RWKV-v4neo/ && python3 init_model.py --n_layer 6 --n_embd 512 --vocab_size neox ../model/L6-D512-neox-init.pth"
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+ ]
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+ }
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+ ],
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+ "metadata": {
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+ "kernelspec": {
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+ "display_name": "rwkv-exp",
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+ "language": "python",
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+ "name": "python3"
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+ },
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+ "language_info": {
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+ "codemirror_mode": {
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+ "name": "ipython",
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+ "version": 3
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+ },
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+ "file_extension": ".py",
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+ "mimetype": "text/x-python",
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+ "name": "python",
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+ "nbconvert_exporter": "python",
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+ "pygments_lexer": "ipython3",
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+ "version": "3.10.12"
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+ },
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+ "papermill": {
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+ "default_parameters": {},
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+ "duration": 11.521627,
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+ "end_time": "2023-08-23T10:54:09.274570",
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+ "environment_variables": {},
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+ "exception": null,
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+ "input_path": "/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/notebook/trainer-v4-unit-test/model-init.ipynb",
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+ "output_path": "/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/output/trainer-v4-unit-test/model-init.ipynb",
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+ "parameters": {},
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+ "start_time": "2023-08-23T10:53:57.752943",
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+ "version": "2.4.0"
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+ }
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+ },
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+ "nbformat": 4,
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+ "nbformat_minor": 5
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+ }