Performs max pooling on the input and outputs both max values and indices.
The indices in `argmax` are flattened, so that a maximum value at position `[b, y, x, c]` becomes flattened index: `(y * width + x) * channels + c` if `include_batch_in_index` is False; `((b * height + y) * width + x) * channels + c` if `include_batch_in_index` is True.
The indices returned are always in `[0, height) x [0, width)` before flattening, even if padding is involved and the mathematically correct answer is outside (either negative or too large). This is a bug, but fixing it is difficult to do in a safe backwards compatible way, especially due to flattening.
Nested Classes
| class | MaxPoolWithArgmax.Options | Optional attributes for MaxPoolWithArgmax
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Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| Output<U> |
argmax()
4-D.
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| static <T extends TNumber, U extends TNumber> MaxPoolWithArgmax<T, U> |
create(Scope scope, Operand<T> input, List<Long> ksize, List<Long> strides, Class<U> Targmax, String padding, Options... options)
Factory method to create a class wrapping a new MaxPoolWithArgmax operation.
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| static <T extends TNumber> MaxPoolWithArgmax<T, TInt64> |
create(Scope scope, Operand<T> input, List<Long> ksize, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new MaxPoolWithArgmax operation using default output types.
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| static MaxPoolWithArgmax.Options |
includeBatchInIndex(Boolean includeBatchInIndex)
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| Output<T> |
output()
The max pooled output tensor.
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public static MaxPoolWithArgmax<T, U> create (Scope scope, Operand<T> input, List<Long> ksize, List<Long> strides, Class<U> Targmax, String padding, Options... options)
Factory method to create a class wrapping a new MaxPoolWithArgmax operation.
Parameters
| scope | current scope |
|---|---|
| input | 4-D with shape `[batch, height, width, channels]`. Input to pool over. |
| ksize | The size of the window for each dimension of the input tensor. |
| strides | The stride of the sliding window for each dimension of the input tensor. |
| padding | The type of padding algorithm to use. |
| options | carries optional attributes values |
Returns
- a new instance of MaxPoolWithArgmax
public static MaxPoolWithArgmax<T, TInt64> create (Scope scope, Operand<T> input, List<Long> ksize, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new MaxPoolWithArgmax operation using default output types.
Parameters
| scope | current scope |
|---|---|
| input | 4-D with shape `[batch, height, width, channels]`. Input to pool over. |
| ksize | The size of the window for each dimension of the input tensor. |
| strides | The stride of the sliding window for each dimension of the input tensor. |
| padding | The type of padding algorithm to use. |
| options | carries optional attributes values |
Returns
- a new instance of MaxPoolWithArgmax
public static MaxPoolWithArgmax.Options includeBatchInIndex (Boolean includeBatchInIndex)
Parameters
| includeBatchInIndex | Whether to include batch dimension in flattened index of `argmax`. |
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