samplemodel01.ipynb

{
 "cells": [
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   "execution_count": 3,
   "id": "55639ddf-442f-4da9-be1d-75543a2e0c70",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-03-12 20:49:33.250521: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
      "2024-03-12 20:49:33.298077: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "2024-03-12 20:49:33.298108: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "2024-03-12 20:49:33.299348: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
      "2024-03-12 20:49:33.307159: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2024-03-12 20:49:34.869437: I itex/core/wrapper/itex_cpu_wrapper.cc:60] Intel Extension for Tensorflow* AVX512 CPU backend is loaded.\n",
      "2024-03-12 20:49:34.962813: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2024-03-12 20:49:34.993825: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2024-03-12 20:49:34.997527: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow import keras"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f0852765-7e18-41df-aecf-10bbc9649010",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = tf.keras.models.load_model('samplemodel01.keras')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a958a761-107d-4dbd-8055-ba4085b80de6",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = tf.convert_to_tensor([[11000]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4aa44234-0cfc-4e3b-9b44-e741f6521a0c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-03-12 20:52:50.931243: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:117] Plugin optimizer for device_type CPU is enabled.\n",
      "2024-03-12 20:52:51.026576: I external/local_xla/xla/service/service.cc:168] XLA service 0x55d7aadc8c40 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
      "2024-03-12 20:52:51.026653: I external/local_xla/xla/service/service.cc:176]   StreamExecutor device (0): Quadro RTX 4000, Compute Capability 7.5\n",
      "2024-03-12 20:52:51.041029: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.\n",
      "2024-03-12 20:52:51.101126: I external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:454] Loaded cuDNN version 8907\n",
      "2024-03-12 20:52:51.104547: I external/local_tsl/tsl/platform/default/subprocess.cc:304] Start cannot spawn child process: No such file or directory\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 303ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "I0000 00:00:1710276771.219566   85038 device_compiler.h:186] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.\n"
     ]
    }
   ],
   "source": [
    "pred = model.predict(y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "214f3a54-95f4-4c5e-b211-608e62d26cc2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[22005.293]], dtype=float32)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8b719dcf-155d-40d1-a111-56181030968d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[22005.293]\n"
     ]
    }
   ],
   "source": [
    "print (str(pred[0]))"
   ]
  }
 ],
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