TensorFlow.NET/src/TensorFlowNET.Console/MemoryBasicTest.cs at master · tarekgh/TensorFlow.NET · GitHub

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using Tensorflow.NumPy;

using System;

using Tensorflow.Keras.ArgsDefinition;

using Tensorflow.Keras.Engine.DataAdapters;

using static Tensorflow.Binding;

using static Tensorflow.KerasApi;

using System.Linq;

using System.Collections.Generic;

namespace Tensorflow

{

class MemoryBasicTest

{

public Action<int, int> Placeholder

=> (epoch, iterate) =>

{

var ph = array_ops.placeholder(tf.float32, (10, 512, 512, 3));

};

/// <summary>

///

/// </summary>

public Action<int, int> Constant

=> (epoch, iterate) =>

{

var tensor = tf.constant(3112.0f);

};

public Action<int, int> Constant2x3

=> (epoch, iterate) =>

{

var nd = np.arange(1000).reshape((10, 100));

var tensor = tf.constant(nd);

var data = tensor.numpy();

};

public Action<int, int> ConstantString

=> (epoch, iterate) =>

{

var strList = new string[]

{

"Biden immigration bill would put millions of illegal immigrants on 8-year fast-track to citizenship",

"The Associated Press, which also reported that the eight-year path is in the bill.",

"The bill would also include provisions to stem the flow of migration by addressing root causes of migration from south of the border."

};

var tensor = tf.constant(strList, TF_DataType.TF_STRING);

var data = tensor.StringData();

};

public Action<int, int> Variable

=> (epoch, iterate) =>

{

var nd = np.arange(1 * 256 * 256 * 3).reshape((1, 256, 256, 3));

ResourceVariable variable = tf.Variable(nd);

};

public Action<int, int> VariableRead

=> (epoch, iterate) =>

{

var nd = np.zeros(1 * 256 * 256 * 3).astype(np.float32).reshape((1, 256, 256, 3));

ResourceVariable variable = tf.Variable(nd);

for (int i = 0; i< 10; i++)

{

var v = variable.numpy();

}

};

public Action<int, int> VariableAssign

=> (epoch, iterate) =>

{

ResourceVariable variable = tf.Variable(3112f);

AssignVariable(variable);

for (int i = 0; i < 100; i++)

{

var v = variable.numpy();

if ((float)v != 1984f)

throw new ValueError("");

}

};

void AssignVariable(IVariableV1 v)

{

using var tensor = tf.constant(1984f);

v.assign(tensor);

}

public Action<int, int> MathAdd

=> (epoch, iterate) =>

{

var x = tf.constant(3112.0f);

var y = tf.constant(3112.0f);

var z = x + y;

};

public Action<int, int> Gradient

=> (epoch, iterate) =>

{

var w = tf.constant(3112.0f);

using var tape = tf.GradientTape();

tape.watch(w);

var loss = w * w;

var grad = tape.gradient(loss, w);

};

public Action<int, int> Conv2DWithTensor

=> (epoch, iterate) =>

{

var input = array_ops.zeros((10, 32, 32, 3), dtypes.float32);

var filter = array_ops.zeros((3, 3, 3, 32), dtypes.float32);

var strides = new[] { 1, 1, 1, 1 };

var dilations = new[] { 1, 1, 1, 1 };

var results = tf.Runner.TFE_FastPathExecute(new FastPathOpExecInfo("Conv2D", null, input, filter)

{

attrs = ConvertToDict(new

{

strides,

use_cudnn_on_gpu = true,

padding = "VALID",

explicit_paddings = new int[0],

data_format = "NHWC",

dilations

})

});

};

public Action<int, int> Conv2DWithVariable

=> (epoch, iterate) =>

{

var input = array_ops.zeros((10, 32, 32, 3), dtypes.float32);

var filter = tf.Variable(array_ops.zeros((3, 3, 3, 32), dtypes.float32));

var strides = new[] { 1, 1, 1, 1 };

var dilations = new[] { 1, 1, 1, 1 };

var results = tf.Runner.TFE_FastPathExecute(new FastPathOpExecInfo("Conv2D", null, input, filter)

{

attrs = ConvertToDict(new

{

strides,

use_cudnn_on_gpu = true,

padding = "VALID",

explicit_paddings = new int[0],

data_format = "NHWC",

dilations

})

});

};

public Action<int, int> Dataset

=> (epoch, iterate) =>

{

Shape shape = (16, 32, 32, 3);

var images = np.arange(shape.size).astype(np.float32).reshape(shape.dims);

var data_handler = new DataHandler(new DataHandlerArgs

{

X = images,

BatchSize = 2,

StepsPerEpoch = -1,

InitialEpoch = 0,

Epochs = 2,

MaxQueueSize = 10,

Workers = 1,

UseMultiprocessing = false,

StepsPerExecution = tf.Variable(1)

});

/*foreach (var (_epoch, iterator) in data_handler.enumerate_epochs())

{

foreach (var step in data_handler.steps())

iterator.next();

}*/

};

}

TensorFlow.NET/src/TensorFlowNET.Console/MemoryBasicTest.cs at master · tarekgh/TensorFlow.NET · GitHub

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