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Fix liquid parsing issues in pytorch ndarray cheatsheet #2690

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Jul 3, 2023
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Fix liquid parsing issues in pytorch ndarray cheatsheet #2690

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32 changes: 16 additions & 16 deletions docs/pytorch/pytorch-djl-ndarray-cheatsheet.md
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Original file line number Diff line number Diff line change
Expand Up @@ -58,7 +58,7 @@ tensor.tensor(a)
```

```
float[][] array = {{1, 2, 3}, {4, 5, 6}};
float[][] array = { {1, 2, 3}, {4, 5, 6} };
NDArray nd = manager.create(array);
```

Expand Down Expand Up @@ -107,7 +107,7 @@ torch.zeros_like(a)
NDArray ones = manager.ones(new Shape(1, 2, 3));
NDarray zeros = manager.zeros(new Shape(1, 2, 3));

NDArray a = manager.create(new float[][] {{1, 2, 3}, {4, 5, 6}});
NDArray a = manager.create(new float[][] { {1, 2, 3}, {4, 5, 6} });
ones = a.onesLike();
zeros= a.zerosLike();
```
Expand All @@ -125,7 +125,7 @@ torch.tensor(a, requires_grad=True, dtype=float)
```

```
NDArray a = manager.create(new float[][] {{1, 2, 3}, {4, 5, 6}});
NDArray a = manager.create(new float[][] { {1, 2, 3}, {4, 5, 6} });
a.setRequiresGradient(true);
a
```
Expand Down Expand Up @@ -587,7 +587,7 @@ a.T
Java

```
var a = manager.create(new float[][] {{1, 2}, {3, 4}});
var a = manager.create(new float[][] { {1, 2}, {3, 4} });
a.transpose();
```

Expand Down Expand Up @@ -683,7 +683,7 @@ ND: (3) cpu() int32
</details>

```
var indices = manager.create(new int[][] {{2, 4}, {6, 8}});
var indices = manager.create(new int[][] { {2, 4}, {6, 8} });
a.get(indices);
```

Expand All @@ -705,7 +705,7 @@ ND: (2, 2) cpu() int32
### multi-dimension ndarray slice

```
var a = manager.create(new int[][] {{5, 10, 20}, {30, 40, 50}, {60, 70, 80}});
var a = manager.create(new int[][] { {5, 10, 20}, {30, 40, 50}, {60, 70, 80} });
```

---
Expand Down Expand Up @@ -1028,8 +1028,8 @@ ND: (2, 6) cpu() float32
#### stack

```
var images0 = manager.create(new int[][] {{128, 0, 0}, {0, 128, 0}});
var images1 = manager.create(new int[][] {{0, 0, 128}, {127, 127, 127}});
var images0 = manager.create(new int[][] { {128, 0, 0}, {0, 128, 0} });
var images1 = manager.create(new int[][] { {0, 0, 128}, {127, 127, 127} });
```

```
Expand Down Expand Up @@ -1198,7 +1198,7 @@ torch.abs(tensor)
```

```
var ndarray = manager.create(new int[][] {{1, 2}, {-1, -2}});
var ndarray = manager.create(new int[][] { {1, 2}, {-1, -2} });
ndarray.abs();
```

Expand Down Expand Up @@ -1226,7 +1226,7 @@ torch.ceil(tensor)
```

```
var ndarray = manager.create(new double[][] {{1.0,1.1,1.2,1.3,1.4}, {1.5,1.6,1.7,1.8,1.9});
var ndarray = manager.create(new double[][] { {1.0,1.1,1.2,1.3,1.4}, {1.5,1.6,1.7,1.8,1.9} });
ndarray.ceil();
```

Expand Down Expand Up @@ -1254,7 +1254,7 @@ torch.floor(tensor)
```

```
var ndarray = manager.create(new double[][] {{1.0,1.1,1.2,1.3,1.4}, {1.5,1.6,1.7,1.8,1.9});
var ndarray = manager.create(new double[][] { {1.0,1.1,1.2,1.3,1.4}, {1.5,1.6,1.7,1.8,1.9} });
ndarray.floor();
```

Expand Down Expand Up @@ -1282,7 +1282,7 @@ torch.round(tensor)
```

```
var ndarray = manager.create(new double[][] {{1.0,1.1,1.2,1.3,1.4}, {1.5,1.6,1.7,1.8,1.9}});
var ndarray = manager.create(new double[][] { {1.0,1.1,1.2,1.3,1.4}, {1.5,1.6,1.7,1.8,1.9} });
ndarray.round();
```

Expand Down Expand Up @@ -1310,7 +1310,7 @@ torch.sign(tensor)
```

```
var ndarray = manager.create(new double[][] {{-0.1, -0.0}, {0.0, 0.1});
var ndarray = manager.create(new double[][] { {-0.1, -0.0}, {0.0, 0.1} });
ndarray.sign();
```

Expand Down Expand Up @@ -1440,7 +1440,7 @@ torch.nonzero()
```

```
var a = manager.create(new long[][] {{0.0,0.1}, {0.2,0.3}});
var a = manager.create(new long[][] { {0.0,0.1}, {0.2,0.3} });
a.nonzero();
```

Expand Down Expand Up @@ -1482,8 +1482,8 @@ torch.masked_select(t, mask)
```

```
var ndarray = manager.create(new double[][] {{0.1, 0.2}, {0.3, 0.4}});
var mask = manager.create(new boolean[][] {false, true}, {true,false}});
var ndarray = manager.create(new double[][] { {0.1, 0.2}, {0.3, 0.4} });
var mask = manager.create(new boolean[][] { {false, true}, {true,false} });
ndarray.booleanMask(mask);
```

Expand Down
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