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max_pool2d_op

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Structs

Struct: MaxPool2d

Namespace for 2D max pooling operations.

Fields

Methods

compute_shape(mut curr: ArrayShape, args: List[ArrayShape])
Computes the shape of an array after a 2-dimensional max pooling operation with dilation.
Args
  • curr: ArrayShape The ArrayShape to store the result of the computation.

  • args: List[ArrayShape] The input ArrayShape, and the pooling parameters encoded in an ArrayShape.

__call__(mut curr: Array, args: List[Array])
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Args
  • curr: Array

  • args: List[Array]

vjp(primals: List[Array], grad: Array, out: Array) -> List[Array]
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Args
  • primals: List[Array]

  • grad: Array

  • out: Array

Returns
  • List[Array]
jvp(primals: List[Array], tangents: List[Array]) -> Array
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Args
  • primals: List[Array]

  • tangents: List[Array]

Returns
  • Array
fwd(arg0: Array, kernel_size: Tuple[Int, Int], stride: Tuple[Int, Int] = Tuple(VariadicPack(<store_to_mem({1}), store_to_mem({1})>, True)), padding: Tuple[Int, Int] = Tuple(VariadicPack(<store_to_mem({0}), store_to_mem({0})>, True)), dilation: Tuple[Int, Int] = Tuple(VariadicPack(<store_to_mem({1}), store_to_mem({1})>, True))) -> Array
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Args
  • arg0: Array

  • kernel_size: Tuple[Int, Int]

  • stride: Tuple[Int, Int] (default: Tuple(VariadicPack(<store_to_mem({1}), store_to_mem({1})>, True)))

  • padding: Tuple[Int, Int] (default: Tuple(VariadicPack(<store_to_mem({0}), store_to_mem({0})>, True)))

  • dilation: Tuple[Int, Int] (default: Tuple(VariadicPack(<store_to_mem({1}), store_to_mem({1})>, True)))

Returns
  • Array

Functions

max_pool2d

max_pool2d(arg0: Array, kernel_size: Tuple[Int, Int], stride: Tuple[Int, Int] = Tuple(VariadicPack(<store_to_mem({1}), store_to_mem({1})>, True)), padding: Tuple[Int, Int] = Tuple(VariadicPack(<store_to_mem({0}), store_to_mem({0})>, True)), dilation: Tuple[Int, Int] = Tuple(VariadicPack(<store_to_mem({1}), store_to_mem({1})>, True))) -> Array
Applies a 2D max pooling operation over an input tensor.
Args
  • arg0: Array The input tensor.

  • kernel_size: Tuple[Int, Int] The size of the window to take a max over.

  • stride: Tuple[Int, Int] (default: Tuple(VariadicPack(<store_to_mem({1}), store_to_mem({1})>, True))) The stride of the window. Default is (1, 1).

  • padding: Tuple[Int, Int] (default: Tuple(VariadicPack(<store_to_mem({0}), store_to_mem({0})>, True))) The padding to apply to the input tensor. Default is (0, 0).

  • dilation: Tuple[Int, Int] (default: Tuple(VariadicPack(<store_to_mem({1}), store_to_mem({1})>, True))) The dilation to apply to the input tensor. Default is (1, 1).

Returns
  • Array - The output tensor.
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