Basic Numerical Operations#
Tensor Operators#
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Elementwise addition: \(x + y\). |
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Elementwise subtraction: \(x - y\). |
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Elementwise multiply: \(x * y\). |
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Elementwise division: \(x / y\). |
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Sum of array elements along with the corresponding dim. |
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Min value of the array elements along with the corresponding dim. |
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Max value of the array elements along with the corresponding dim. |
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Return the indices of the minimum of an array along the dim. |
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Return the indices of the maximum of an array along the dim. |
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Mean value of the array elements along with the corresponding dim. |
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The standard deviation of the array elements along with the corresponding dim. |
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The variance of the array elements along with the corresponding dim. |
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Compute the non-negative square-root of the array elements, elementwise. |
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Compute the absolute values of an array, elementwise. |
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Perform the natural logarithm of an array, elementwise. |
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Perform the base-10 logarithm of an array, elementwise. |
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Perform the base-2 logarithm of an array, elementwise. |
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Perform sine of an array, elementwise. |
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Perform cosine of an array, elementwise. |
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Compute tangent of an array, elementwise. |
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Inverse sine of an array, elementwise. |
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Inverse cosine of an array, elementwise. |
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Inverse tan of an array, elementwise. |
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Calculate the exponent of an array, elementwise. |
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Ceiling all elements of an array, elementwise. |
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flooring all elements of an array, elementwise. |
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Get each sign of an array, elementwise. |
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Concatenate all of the arrays along with the dim. |
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Return elements choosen from true_array or false_array depending on the condition |
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Test whether all the elements in an array is true |
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Test whether there is any element in an array is true |
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Generate a new array with given shape and dtype, filled with zero |
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Generate a new array with given shape and dtype, without filling values |
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Generate a new array with given shape and dtype, filled with one |
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Generate a new array with given shape and dtype, filled with given 'fill_value' |
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