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Header 2

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This is more body copy with code snippets. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Here is an inline link. Ut enim ad minim veniam, quis nostrud torch.*.FloatTensor ullamco laboris nisi ut aliquip ex ea commodo consequat.

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  1. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
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Definition list
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  brew install pytorch # Here is a small code block
  brew install pytorch # Here is a small code block
# Here is a large code block with syntax highlighting

# !/usr/bin/python3

# Dictionaries map keys to values.

fred = { 'mike': 456, 'bill': 399, 'sarah': 521 }

# Subscripts.
try:
    print(fred)
    print(fred['bill'])
    print(fred['nora'])
    print("Won't see this!")
except KeyError as rest:
    print("Lookup failed:", rest)
print()

# Entries can be added, udated, or deleted.
fred['bill'] = 'Sopwith Camel'
fred['wilma'] = 2233
del fred['mike']
print(fred)
print()

# Get all the keys.
print(fred.keys())
for k in fred.keys():
    print(k, "=>", fred[k])
print()

# Test for presence of a key.
for t in [ 'zingo', 'sarah', 'bill', 'wilma' ]:
    print(t,end=' ')
    if t in fred:
        print('=>', fred[t])
    else:
        print('is not present.')

Here is a table:

Data type torch.dtype Tensor types
32-bit floating point torch.float32 or torch.float torch.*.FloatTensor
64-bit floating point torch.float64 or torch.double torch.*.DoubleTensor
16-bit floating point torch.float16 or torch.half torch.*.HalfTensor
8-bit integer (unsigned) torch.uint8 torch.*.ByteTensor
8-bit integer (signed) torch.int8 torch.*.CharTensor
16-bit integer (signed) torch.int16 or torch.short torch.*.ShortTensor
32-bit integer (signed) torch.int32 or torch.int torch.*.IntTensor
64-bit integer (signed) torch.int64 or torch.long torch.*.LongTensor