barry-jin opened a new issue #20579: URL: https://github.com/apache/incubator-mxnet/issues/20579
As proposed in #20501, MXNet will support standardized Python Array APIs and I have collected most of unimplemented operators or methods to be tracked in this issue. These operators or methods are splited into three parts. The part1 is the basic element-wise functions, which are prerequistes to implement the operators and methods in part2. Functions in part3 are some Linear Algebra Functions. ## Part1: Element-wise Functions - [ ] [bitwise_left_shift](https://data-apis.org/array-api/latest/API_specification/elementwise_functions.html#bitwise-left-shift-x1-x2) - [ ] [bitwise_invert](https://data-apis.org/array-api/latest/API_specification/elementwise_functions.html#bitwise-invert-x) - [ ] [bitwise_right_shift](https://data-apis.org/array-api/latest/API_specification/elementwise_functions.html#bitwise-right-shift-x1-x2) - [ ] [floor_divide](https://data-apis.org/array-api/latest/API_specification/elementwise_functions.html#floor-divide-x1-x2) - [ ] [logaddexp](https://data-apis.org/array-api/latest/API_specification/elementwise_functions.html#logaddexp-x1-x2) - [ ] [positive](https://data-apis.org/array-api/latest/API_specification/elementwise_functions.html#positive-x) - [ ] [pow](https://data-apis.org/array-api/latest/API_specification/elementwise_functions.html#pow-x1-x2) ## Part2: ### Operators: - [ ] [\_\_pos\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#pos-self) : positive(x) - [ ] [\_\_floordiv\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#floordiv-self-other) : floor_divide(x1, x2) - [ ] [\_\_lshift\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#lshift-self-other) : bitwise_left_shift(x1, x2) - [ ] [\_\_rshift\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#rshift-self-other) : bitwise_right_shift(x1, x2) ### In-place Operators: - [ ] [\_\_ifloordiv\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#in-place-operators) : floor_divide(self, other, out=self) - [ ] [\_\_ipow\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#in-place-operators) : pow(self, other, out=self) - [ ] [\_\_ilshift\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#in-place-operators) : bitwise_left_shift(self, other, out=self) - [ ] [\_\_irshift\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#in-place-operators) : bitwise_right_shift(self, other, out=self) ### Reflected Operators: - [ ] [\_\_radd\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#reflected-operators) : add(other, self) - [ ] [\_\_rfloordiv\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#reflected-operators) : floor_divide(other, self) - [ ] [\_\_rand\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#reflected-operators) : bitwise_and(self, other) - [ ] [\_\_ror\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#reflected-operators) : bitwise_or(self, other) - [ ] [\_\_rxor\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#reflected-operators) : bitwise_xor(self, other) - [ ] [\_\_rlshift\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#reflected-operators) : bitwise_left_shift(other, self) - [ ] [\_\_rrshift\_\_](https://data-apis.org/array-api/latest/API_specification/array_object.html#reflected-operators) : bitwise_right_shift(other, self) ## Part3: ### Linear Algebra Functions: - [ ] [linalg.cross](https://data-apis.org/array-api/latest/extensions/linear_algebra_functions.html#linalg-cross-x1-x2-axis-1) - [ ] [linalg.diagonal](https://data-apis.org/array-api/latest/extensions/linear_algebra_functions.html#linalg-diagonal-x-axis1-0-axis2-1-offset-0) - [ ] [linalg.matrix_power](https://data-apis.org/array-api/latest/extensions/linear_algebra_functions.html#linalg-matrix-power-x-n) - [ ] [linalg.outer](https://data-apis.org/array-api/latest/extensions/linear_algebra_functions.html#linalg-outer-x1-x2) - [ ] [linalg.tensordot](https://data-apis.org/array-api/latest/extensions/linear_algebra_functions.html#linalg-tensordot-x1-x2-axes-2) : tensordot - [ ] [linalg.svdvals](https://data-apis.org/array-api/latest/extensions/linear_algebra_functions.html#linalg-svdvals-x) - [ ] [linalg.trace](https://data-apis.org/array-api/latest/extensions/linear_algebra_functions.html#linalg-trace-x-offset-0) - [ ] [linalg.vecdot](https://data-apis.org/array-api/latest/extensions/linear_algebra_functions.html#linalg-vecdot-x1-x2-axis-none) : vdot - [ ] [linalg.vector_norm](https://data-apis.org/array-api/latest/extensions/linear_algebra_functions.html#linalg-vector-norm-x-axis-none-keepdims-false-ord-2) -- This is an automated message from the Apache Git Service. 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