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| shape |\[integer]|**REQUIRED** Shape of the input n-dimensional array (e.g.: $B \times C \times H \times W$), including the batch size dimension. Each dimension must either be greater than 0 or -1 to indicate a variable dimension size. |
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| dim_order |\[[Dimension Order](#dimension-order)]|**REQUIRED** Order of the `shape` dimensions by name. |
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| data_type |[Data Type Enum](#data-type-enum)|**REQUIRED** The data type of values in the n-dimensional array. For model inputs, this should be the data type of the processed input supplied to the model inference function, not the data type of the source bands. |
| shape |\[integer]|**REQUIRED** Shape of the input n-dimensional array (e.g.: $`B \times C \times H \times W`$), including the batch size dimension. Each dimension must either be greater than 0 or -1 to indicate a variable dimension size. |
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| dim_order |\[[Dimension Order](#dimension-order)]|**REQUIRED** Order of the `shape` dimensions by name. |
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| data_type |[Data Type Enum](#data-type-enum)|**REQUIRED** The data type of values in the n-dimensional array. For model inputs, this should be the data type of the processed input supplied to the model inference function, not the data type of the source bands. |
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A common use of `-1` for one dimension of `shape` is to indicate a variable batch-size.
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However, this value is not strictly reserved for the `b` dimension.
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