add missing np api but pending to implemented.

Oceania2018 · Oceania2018 · commit 141bdf33848e · 2021-07-21T22:46:01.000-05:00
diff --git a/src/TensorFlowNET.Core/NumPy/Implementation/RandomizedImpl.cs b/src/TensorFlowNET.Core/NumPy/Implementation/RandomizedImpl.cs
@@ -23,7 +23,10 @@ public void shuffle(NDArray x)
         public NDArray rand(params int[] shape)
             => throw new NotImplementedException("");
 
-        public NDArray randint(long x)
+        public NDArray randint(int low, int? high = null, Shape size = null, TF_DataType dtype = TF_DataType.TF_INT32)
+            => throw new NotImplementedException("");
+
+        public NDArray normal(float loc = 0.0f, float scale = 1.0f, Shape size = null)
             => throw new NotImplementedException("");
     }
 }
diff --git a/src/TensorFlowNET.Core/NumPy/Numpy.Manipulation.cs b/src/TensorFlowNET.Core/NumPy/Numpy.Manipulation.cs
@@ -8,10 +8,16 @@ namespace Tensorflow.NumPy
 {
     public partial class np
     {
+        [AutoNumPy]
+        public static NDArray expand_dims(NDArray a, Axis? axis = null) => throw new NotImplementedException("");
+
         [AutoNumPy]
         public static NDArray reshape(NDArray x1, Shape newshape) => x1.reshape(newshape);
 
         [AutoNumPy]
         public static NDArray squeeze(NDArray x1, Axis? axis = null) => new NDArray(array_ops.squeeze(x1, axis));
+
+        [AutoNumPy]
+        public static NDArray dstack(params NDArray[] tup) => throw new NotImplementedException("");
     }
 }
diff --git a/src/TensorFlowNET.Core/Numpy/Numpy.Creation.cs b/src/TensorFlowNET.Core/Numpy/Numpy.Creation.cs
@@ -35,7 +35,11 @@ public static NDArray eye(int N, int? M = null, int k = 0, TF_DataType dtype = T
 
         [AutoNumPy]
         public static NDArray full<T>(Shape shape, T fill_value)
-            => new NDArray(tf.fill(tf.constant(shape), fill_value));
+            where T : unmanaged => new NDArray(tf.fill(tf.constant(shape), fill_value));
+
+        [AutoNumPy]
+        public static NDArray full_like<T>(NDArray x, T fill_value, TF_DataType? dtype = null, Shape shape = null)
+            where T : unmanaged => new NDArray(array_ops.fill(x.shape, constant_op.constant(fill_value)));
 
         [AutoNumPy]
         public static NDArray frombuffer(byte[] bytes, Shape shape, TF_DataType dtype)
diff --git a/src/TensorFlowNET.Keras/Preprocessings/DatasetUtils.index_directory.cs b/src/TensorFlowNET.Keras/Preprocessings/DatasetUtils.index_directory.cs
@@ -49,7 +49,7 @@ public partial class DatasetUtils
             if (shuffle)
             {
                 if (!seed.HasValue)
-                    seed = np.random.randint((long)1e6);
+                    seed = np.random.randint((int)1e6);
                 var random_index = np.arange(label_list.Count);
                 tf.set_random_seed(seed.Value);
                 np.random.shuffle(random_index);

Original file line number	Diff line number	Diff line change
`@@ -23,7 +23,10 @@ public void shuffle(NDArray x)`
`23`	`23`	`public NDArray rand(params int[] shape)`
`24`	`24`	`=> throw new NotImplementedException("");`
`25`	`25`
`26`		`- public NDArray randint(long x)`
	`26`	`+ public NDArray randint(int low, int? high = null, Shape size = null, TF_DataType dtype = TF_DataType.TF_INT32)`
	`27`	`+ => throw new NotImplementedException("");`
	`28`	`+`
	`29`	`+ public NDArray normal(float loc = 0.0f, float scale = 1.0f, Shape size = null)`
`27`	`30`	`=> throw new NotImplementedException("");`
`28`	`31`	`}`
`29`	`32`	`}`
Original file line number	Diff line number	Diff line change
`@@ -8,10 +8,16 @@ namespace Tensorflow.NumPy`
`8`	`8`	`{`
`9`	`9`	`public partial class np`
`10`	`10`	`{`
	`11`	`+ [AutoNumPy]`
	`12`	`+ public static NDArray expand_dims(NDArray a, Axis? axis = null) => throw new NotImplementedException("");`
	`13`	`+`
`11`	`14`	`[AutoNumPy]`
`12`	`15`	`public static NDArray reshape(NDArray x1, Shape newshape) => x1.reshape(newshape);`
`13`	`16`
`14`	`17`	`[AutoNumPy]`
`15`	`18`	`public static NDArray squeeze(NDArray x1, Axis? axis = null) => new NDArray(array_ops.squeeze(x1, axis));`
	`19`	`+`
	`20`	`+ [AutoNumPy]`
	`21`	`+ public static NDArray dstack(params NDArray[] tup) => throw new NotImplementedException("");`
`16`	`22`	`}`
`17`	`23`	`}`
Original file line number	Diff line number	Diff line change
`@@ -49,7 +49,7 @@ public partial class DatasetUtils`
`49`	`49`	`if (shuffle)`
`50`	`50`	`{`
`51`	`51`	`if (!seed.HasValue)`
`52`		`- seed = np.random.randint((long)1e6);`
	`52`	`+ seed = np.random.randint((int)1e6);`
`53`	`53`	`var random_index = np.arange(label_list.Count);`
`54`	`54`	`tf.set_random_seed(seed.Value);`
`55`	`55`	`np.random.shuffle(random_index);`