The Mr Clean Magic Eraser mop is a versatile cleaning tool that is suitable for all floor types. Its innovative design and effective cleaning power make it a popular choice among homeowners. One of the main advantages of the Mr Clean Magic Eraser mop is its ability to tackle all types of flooring. Whether you have hardwood, tile, laminate, or vinyl floors, this mop can effectively remove dirt, grime, and stains without causing any damage. The magic eraser pad attached to the mop is made of a unique microfiber material that is highly absorbent and can lift away even the toughest stains. It can easily remove scuff marks, food spills, pet messes, and other unsightly marks from your floors.
It can easily remove scuff marks, food spills, pet messes, and other unsightly marks from your floors. Another great feature of the Mr Clean Magic Eraser mop is its easy-to-use design. The mop head is lightweight and maneuverable, allowing you to clean hard-to-reach areas with ease.
How to load a trained TF1 protobuf model into TF2?
Update: This is a bug in tensorflow. Track progress here. I have created and trained a model using stable-baselines, which uses Tensorflow 1. Now I need to use this trained model in an environment where I only have access to Tensorflow 2 or PyTorch. I figured I would go with Tensorflow 2 as the documentation says I should be able to load models created with Tensorflow 1. I can load the pb file without a problem in Tensorflow 1:
global_session = tf.Session() with global_session.as_default(): model_loaded = tf.saved_model.load_v2('tensorflow_model') model_loaded = model_loaded.signatures['serving_default'] init = tf.global_variables_initializer() global_session.run(init) can_be_imported = tf.saved_model.contains_saved_model('tensorflow_model') assert(can_be_imported) model_loaded = tf.saved_model.load('tensorflow_model/') ValueError: Node 'loss/gradients/model/batch_normalization_3/FusedBatchNormV3_1_grad/FusedBatchNormGradV3' has an _output_shapes attribute inconsistent with the GraphDef for output #3: Dimension 0 in both shapes must be equal, but are 0 and 64. Shapes are [0] and [64]. NUM_CHANNELS = 64 BN1 = BatchNormalization() BN2 = BatchNormalization() BN3 = BatchNormalization() BN4 = BatchNormalization() BN5 = BatchNormalization() BN6 = BatchNormalization() CONV1 = Conv2D(NUM_CHANNELS, kernel_size=3, strides=1, padding='same') CONV2 = Conv2D(NUM_CHANNELS, kernel_size=3, strides=1, padding='same') CONV3 = Conv2D(NUM_CHANNELS, kernel_size=3, strides=1) CONV4 = Conv2D(NUM_CHANNELS, kernel_size=3, strides=1) FC1 = Dense(128) FC2 = Dense(64) FC3 = Dense(7) def modified_cnn(inputs, **kwargs): relu = tf.nn.relu log_softmax = tf.nn.log_softmax layer_1_out = relu(BN1(CONV1(inputs))) layer_2_out = relu(BN2(CONV2(layer_1_out))) layer_3_out = relu(BN3(CONV3(layer_2_out))) layer_4_out = relu(BN4(CONV4(layer_3_out))) flattened = tf.reshape(layer_4_out, [-1, NUM_CHANNELS * 3 * 2]) layer_5_out = relu(BN5(FC1(flattened))) layer_6_out = relu(BN6(FC2(layer_5_out))) return log_softmax(FC3(layer_6_out)) class CustomCnnPolicy(CnnPolicy): def __init__(self, *args, **kwargs): super(CustomCnnPolicy, self).__init__(*args, **kwargs, cnn_extractor=modified_cnn) model = PPO2(CustomCnnPolicy, env, verbose=1) with model.graph.as_default(): tf.saved_model.simple_save(model.sess, 'tensorflow_model', inputs=, outputs=) Fully reproducible code can be found in the following 2 google colab notebooks: Tensorflow 1 saving and loading Tensorflow 2 loading Direct link to the saved model: model
- tensorflow
- tensorflow2.0
- stable-baselines
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The flexible head also makes it easy to clean around furniture and obstacles, saving you time and effort. Cleaning with the Mr Clean Magic Eraser mop is a breeze. Simply wet the magic eraser pad, wring out any excess water, and start mopping. The pad will effectively clean your floors with just a few swipes, eliminating the need for harsh chemicals or intense scrubbing. Overall, the Mr Clean Magic Eraser mop is a must-have cleaning tool for any homeowner. Its ability to clean all floor types, along with its easy-to-use design, makes it a convenient and effective choice for keeping your floors looking their best..
Reviews for "Cleaning made effortless: The Mr Clean Magic Eraser mop's superiority on all flooring"
1. Jane - 2 stars - I had high expectations for the Mr. Clean Magic Eraser Mop, but unfortunately, it didn't live up to them. First of all, the mop head is way too small, making it difficult to cover large areas efficiently. Secondly, the eraser doesn't hold up well and starts to disintegrate after just a few uses. I found myself having to replace it frequently, which can get expensive. Overall, I was disappointed with this mop and feel like there are better options out there.
2. Mike - 1 star - This mop was a waste of money. It claims to be suitable for all floor types, but I found that it didn't work well on my hardwood floors. It left streaks and didn't effectively remove dirt and grime. The eraser part also didn't last long and fell apart after just a couple of uses. I ended up having to go over the floors with another mop and cleaner to get the desired results. I would not recommend this product.
3. Susan - 2 stars - I have tried the Mr. Clean Magic Eraser Mop on both tile and vinyl floors, and I was not impressed. It did an okay job of cleaning, but it required a lot of scrubbing and effort on my part. The eraser also wore down quickly, so I had to replace it frequently. Additionally, the mop handle felt flimsy and didn't provide a sturdy grip. For the price, I expected better performance and durability. I won't be repurchasing this mop in the future.