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| diff --git a/build/aten/src/ATen/Declarations.yaml b/build/aten/src/ATen/Declarations.yaml | |
| index 7ca5b4659..e3281b884 100644 | |
| --- a/build/aten/src/ATen/Declarations.yaml | |
| +++ b/build/aten/src/ATen/Declarations.yaml | |
| @@ -18798,9 +18798,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: _cudnn_init_dropout_state | |
| - matches_jit_signature: false | |
| + matches_jit_signature: true | |
| schema_string: aten::_cudnn_init_dropout_state(float dropout, bool train, int dropout_seed, | |
| - TensorOptions options) -> Tensor | |
| + *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -18819,8 +18819,10 @@ | |
| name: dropout_seed | |
| type: int64_t | |
| - annotation: null | |
| + default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -20373,8 +20375,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: arange | |
| - matches_jit_signature: false | |
| - schema_string: aten::arange(Scalar end, TensorOptions options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::arange(Scalar end, *, ScalarType dtype=float, Layout layout=strided, | |
| + Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -20386,6 +20389,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -20405,9 +20409,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: arange | |
| - matches_jit_signature: false | |
| - schema_string: aten::arange(Scalar start, Scalar end, TensorOptions options=[]) | |
| - -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::arange(Scalar start, Scalar end, *, ScalarType dtype=float, | |
| + Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -20424,6 +20428,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -20443,9 +20448,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: arange | |
| - matches_jit_signature: false | |
| - schema_string: aten::arange(Scalar start, Scalar end, Scalar step, TensorOptions | |
| - options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::arange(Scalar start, Scalar end, Scalar step, *, ScalarType | |
| + dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -20467,6 +20472,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -21278,9 +21284,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: bartlett_window | |
| - matches_jit_signature: false | |
| - schema_string: aten::bartlett_window(int window_length, TensorOptions options=[]) | |
| - -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::bartlett_window(int window_length, *, ScalarType dtype=float, | |
| + Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -21292,6 +21298,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -21311,9 +21318,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: bartlett_window | |
| - matches_jit_signature: false | |
| - schema_string: aten::bartlett_window(int window_length, bool periodic, TensorOptions | |
| - options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::bartlett_window(int window_length, bool periodic, *, ScalarType | |
| + dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -21330,6 +21337,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -21494,10 +21502,10 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: _batch_norm_impl_index_backward | |
| - matches_jit_signature: false | |
| + matches_jit_signature: true | |
| schema_string: aten::_batch_norm_impl_index_backward(int impl_index, Tensor input, | |
| Tensor grad_output, Tensor? weight, Tensor? running_mean, Tensor? running_var, | |
| - Tensor? save_mean, Tensor? save_var_transform, bool train, float eps, std::array<bool,3> | |
| + Tensor? save_mean, Tensor? save_var_transform, bool train, float eps, bool[3] | |
| output_mask) -> (Tensor, Tensor, Tensor) | |
| method_prefix_derived: '' | |
| arguments: | |
| @@ -21956,9 +21964,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: blackman_window | |
| - matches_jit_signature: false | |
| - schema_string: aten::blackman_window(int window_length, TensorOptions options=[]) | |
| - -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::blackman_window(int window_length, *, ScalarType dtype=float, | |
| + Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -21970,6 +21978,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -21989,9 +21998,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: blackman_window | |
| - matches_jit_signature: false | |
| - schema_string: aten::blackman_window(int window_length, bool periodic, TensorOptions | |
| - options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::blackman_window(int window_length, bool periodic, *, ScalarType | |
| + dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -22008,6 +22017,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -23680,7 +23690,7 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: _copy_same_type_ | |
| - matches_jit_signature: false | |
| + matches_jit_signature: true | |
| schema_string: aten::_copy_same_type_(Tensor(a!) self, Tensor src) -> void | |
| method_prefix_derived: '' | |
| arguments: | |
| @@ -26418,8 +26428,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: empty | |
| - matches_jit_signature: false | |
| - schema_string: aten::empty(int[] size, TensorOptions options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::empty(int[] size, *, ScalarType dtype=float, Layout layout=strided, | |
| + Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -26431,6 +26442,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -26541,8 +26553,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: empty_like | |
| - matches_jit_signature: false | |
| - schema_string: aten::empty_like(Tensor self, *, TensorOptions options) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::empty_like(Tensor self, *, ScalarType dtype, Layout layout, | |
| + Device device) -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -26573,9 +26586,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: empty_strided | |
| - matches_jit_signature: false | |
| - schema_string: aten::empty_strided(int[] size, int[] stride, *, TensorOptions options=[]) | |
| - -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::empty_strided(int[] size, int[] stride, *, ScalarType dtype=float, | |
| + Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -27034,8 +27047,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: eye | |
| - matches_jit_signature: false | |
| - schema_string: aten::eye(int n, TensorOptions options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::eye(int n, *, ScalarType dtype=float, Layout layout=strided, | |
| + Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -27047,6 +27061,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -27066,8 +27081,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: eye | |
| - matches_jit_signature: false | |
| - schema_string: aten::eye(int n, int m, TensorOptions options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::eye(int n, int m, *, ScalarType dtype=float, Layout layout=strided, | |
| + Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -27084,6 +27100,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -27367,9 +27384,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: full | |
| - matches_jit_signature: false | |
| - schema_string: aten::full(int[] size, Scalar fill_value, TensorOptions options=[]) | |
| - -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::full(int[] size, Scalar fill_value, *, ScalarType dtype=float, | |
| + Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -27386,6 +27403,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -27475,9 +27493,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: full_like | |
| - matches_jit_signature: false | |
| - schema_string: aten::full_like(Tensor self, Scalar fill_value, *, TensorOptions | |
| - options) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::full_like(Tensor self, Scalar fill_value, *, ScalarType dtype, | |
| + Layout layout, Device device) -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -27739,9 +27757,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: hann_window | |
| - matches_jit_signature: false | |
| - schema_string: aten::hann_window(int window_length, TensorOptions options=[]) -> | |
| - Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::hann_window(int window_length, *, ScalarType dtype=float, Layout | |
| + layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -27753,6 +27771,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -27772,9 +27791,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: hann_window | |
| - matches_jit_signature: false | |
| - schema_string: aten::hann_window(int window_length, bool periodic, TensorOptions | |
| - options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::hann_window(int window_length, bool periodic, *, ScalarType | |
| + dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -27791,6 +27810,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -27810,9 +27830,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: hamming_window | |
| - matches_jit_signature: false | |
| - schema_string: aten::hamming_window(int window_length, TensorOptions options=[]) | |
| - -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::hamming_window(int window_length, *, ScalarType dtype=float, | |
| + Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -27824,6 +27844,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -27843,9 +27864,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: hamming_window | |
| - matches_jit_signature: false | |
| - schema_string: aten::hamming_window(int window_length, bool periodic, TensorOptions | |
| - options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::hamming_window(int window_length, bool periodic, *, ScalarType | |
| + dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -27862,6 +27883,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -27881,9 +27903,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: hamming_window | |
| - matches_jit_signature: false | |
| + matches_jit_signature: true | |
| schema_string: aten::hamming_window(int window_length, bool periodic, float alpha, | |
| - TensorOptions options=[]) -> Tensor | |
| + *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -27905,6 +27927,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -27924,9 +27947,10 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: hamming_window | |
| - matches_jit_signature: false | |
| + matches_jit_signature: true | |
| schema_string: aten::hamming_window(int window_length, bool periodic, float alpha, | |
| - float beta, TensorOptions options=[]) -> Tensor | |
| + float beta, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") | |
| + -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -27953,6 +27977,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -28122,9 +28147,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: gesv_out | |
| - matches_jit_signature: false | |
| + matches_jit_signature: true | |
| schema_string: aten::gesv(Tensor self, Tensor A, *, Tensor(a!) solution, Tensor(b!) | |
| - lu) ->(Tensor(a!), Tensor(b!)) | |
| + lu) -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -28547,7 +28572,7 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: _cufft_set_plan_cache_max_size | |
| - matches_jit_signature: false | |
| + matches_jit_signature: true | |
| schema_string: aten::_cufft_set_plan_cache_max_size(int max_size) -> void | |
| method_prefix_derived: '' | |
| arguments: | |
| @@ -28573,7 +28598,7 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: _cufft_clear_plan_cache | |
| - matches_jit_signature: false | |
| + matches_jit_signature: true | |
| schema_string: aten::_cufft_clear_plan_cache() -> void | |
| method_prefix_derived: '' | |
| arguments: [] | |
| @@ -29328,9 +29353,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: kthvalue_out | |
| - matches_jit_signature: false | |
| + matches_jit_signature: true | |
| schema_string: aten::kthvalue(Tensor self, int k, int dim=-1, bool keepdim=False, | |
| - *, Tensor(a!) values, Tensor(b!) indices) ->(Tensor(a!) values, Tensor(b!) indices) | |
| + *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -29640,9 +29665,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: linspace | |
| - matches_jit_signature: false | |
| - schema_string: aten::linspace(Scalar start, Scalar end, int steps=100, TensorOptions | |
| - options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::linspace(Scalar start, Scalar end, int steps=100, *, ScalarType | |
| + dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -29665,6 +29690,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -30109,9 +30135,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: logspace | |
| - matches_jit_signature: false | |
| - schema_string: aten::logspace(Scalar start, Scalar end, int steps=100, TensorOptions | |
| - options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::logspace(Scalar start, Scalar end, int steps=100, *, ScalarType | |
| + dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -30134,6 +30160,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -30698,9 +30725,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: max_out | |
| - matches_jit_signature: false | |
| + matches_jit_signature: true | |
| schema_string: aten::max(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) | |
| - max, Tensor(b!) max_values) ->(Tensor(a!) values, Tensor(b!) indices) | |
| + max, Tensor(b!) max_values) -> (Tensor(a!) values, Tensor(b!) indices) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -31418,7 +31445,7 @@ | |
| - name: median_out | |
| matches_jit_signature: false | |
| schema_string: aten::median(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) | |
| - values, Tensor(b!) indices) ->(Tensor(a!) values, Tensor(b!) indices) | |
| + values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -31523,7 +31550,7 @@ | |
| - name: min_out | |
| matches_jit_signature: false | |
| schema_string: aten::min(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) | |
| - min, Tensor(b!) min_indices) ->(Tensor(a!) values, Tensor(b!) indices) | |
| + min, Tensor(b!) min_indices) -> (Tensor(a!) values, Tensor(b!) indices) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -32762,7 +32789,7 @@ | |
| - name: mode_out | |
| matches_jit_signature: false | |
| schema_string: aten::mode(Tensor self, int dim=-1, bool keepdim=False, *, Tensor(a!) | |
| - values, Tensor(b!) indices) ->(Tensor(a!) values, Tensor(b!) indices) | |
| + values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -33602,8 +33629,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: ones | |
| - matches_jit_signature: false | |
| - schema_string: aten::ones(int[] size, TensorOptions options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::ones(int[] size, *, ScalarType dtype=float, Layout layout=strided, | |
| + Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -33615,6 +33643,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -33694,8 +33723,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: ones_like | |
| - matches_jit_signature: false | |
| - schema_string: aten::ones_like(Tensor self, *, TensorOptions options) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::ones_like(Tensor self, *, ScalarType dtype, Layout layout, | |
| + Device device) -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -34085,8 +34115,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: scalar_tensor | |
| - matches_jit_signature: false | |
| - schema_string: aten::scalar_tensor(Scalar s, *, TensorOptions options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::scalar_tensor(Scalar s, *, ScalarType dtype=float, Layout layout=strided, | |
| + Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -34118,8 +34149,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: rand | |
| - matches_jit_signature: false | |
| - schema_string: aten::rand(int[] size, *, TensorOptions options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::rand(int[] size, *, ScalarType dtype=float, Layout layout=strided, | |
| + Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -34152,8 +34184,8 @@ | |
| deprecated: false | |
| - name: rand | |
| matches_jit_signature: false | |
| - schema_string: aten::rand(int[] size, *, Generator? generator, TensorOptions options=[]) | |
| - -> Tensor | |
| + schema_string: aten::rand(int[] size, *, Generator? generator, ScalarType dtype=float, | |
| + Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -34292,8 +34324,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: rand_like | |
| - matches_jit_signature: false | |
| - schema_string: aten::rand_like(Tensor self, *, TensorOptions options) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::rand_like(Tensor self, *, ScalarType dtype, Layout layout, | |
| + Device device) -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -34324,9 +34357,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: randint | |
| - matches_jit_signature: false | |
| - schema_string: aten::randint(int high, int[] size, *, TensorOptions options=[]) | |
| - -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::randint(int high, int[] size, *, ScalarType dtype=float, Layout | |
| + layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -34364,8 +34397,8 @@ | |
| deprecated: false | |
| - name: randint | |
| matches_jit_signature: false | |
| - schema_string: aten::randint(int high, int[] size, *, Generator? generator, TensorOptions | |
| - options=[]) -> Tensor | |
| + schema_string: aten::randint(int high, int[] size, *, Generator? generator, ScalarType | |
| + dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -34408,9 +34441,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: randint | |
| - matches_jit_signature: false | |
| - schema_string: aten::randint(int low, int high, int[] size, *, TensorOptions options=[]) | |
| - -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::randint(int low, int high, int[] size, *, ScalarType dtype=float, | |
| + Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -34454,7 +34487,7 @@ | |
| - name: randint | |
| matches_jit_signature: false | |
| schema_string: aten::randint(int low, int high, int[] size, *, Generator? generator, | |
| - TensorOptions options=[]) -> Tensor | |
| + ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -34750,9 +34783,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: randint_like | |
| - matches_jit_signature: false | |
| - schema_string: aten::randint_like(Tensor self, int high, *, TensorOptions options) | |
| - -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::randint_like(Tensor self, int high, *, ScalarType dtype, Layout | |
| + layout, Device device) -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -34788,9 +34821,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: randint_like | |
| - matches_jit_signature: false | |
| - schema_string: aten::randint_like(Tensor self, int low, int high, *, TensorOptions | |
| - options) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::randint_like(Tensor self, int low, int high, *, ScalarType | |
| + dtype, Layout layout, Device device) -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -34831,8 +34864,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: randn | |
| - matches_jit_signature: false | |
| - schema_string: aten::randn(int[] size, *, TensorOptions options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::randn(int[] size, *, ScalarType dtype=float, Layout layout=strided, | |
| + Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -34865,8 +34899,8 @@ | |
| deprecated: false | |
| - name: randn | |
| matches_jit_signature: false | |
| - schema_string: aten::randn(int[] size, *, Generator? generator, TensorOptions options=[]) | |
| - -> Tensor | |
| + schema_string: aten::randn(int[] size, *, Generator? generator, ScalarType dtype=float, | |
| + Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -35005,8 +35039,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: randn_like | |
| - matches_jit_signature: false | |
| - schema_string: aten::randn_like(Tensor self, *, TensorOptions options) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::randn_like(Tensor self, *, ScalarType dtype, Layout layout, | |
| + Device device) -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -35037,8 +35072,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: randperm | |
| - matches_jit_signature: false | |
| - schema_string: aten::randperm(int n, *, TensorOptions options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::randperm(int n, *, ScalarType dtype=float, Layout layout=strided, | |
| + Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -35071,8 +35107,8 @@ | |
| deprecated: false | |
| - name: randperm | |
| matches_jit_signature: false | |
| - schema_string: aten::randperm(int n, *, Generator? generator, TensorOptions options=[]) | |
| - -> Tensor | |
| + schema_string: aten::randperm(int n, *, Generator? generator, ScalarType dtype=float, | |
| + Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -35185,9 +35221,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: range | |
| - matches_jit_signature: false | |
| - schema_string: aten::range(Scalar start, Scalar end, Scalar step=1, TensorOptions | |
| - options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::range(Scalar start, Scalar end, Scalar step=1, *, ScalarType | |
| + dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -35210,6 +35246,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -35229,9 +35266,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: range | |
| - matches_jit_signature: false | |
| - schema_string: aten::range(Scalar start, Scalar end, TensorOptions options=[]) -> | |
| - Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::range(Scalar start, Scalar end, *, ScalarType dtype=float, | |
| + Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -35248,6 +35285,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -39842,8 +39880,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: zeros | |
| - matches_jit_signature: false | |
| - schema_string: aten::zeros(int[] size, TensorOptions options=[]) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::zeros(int[] size, *, ScalarType dtype=float, Layout layout=strided, | |
| + Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -39855,6 +39894,7 @@ | |
| default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -39934,8 +39974,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: zeros_like | |
| - matches_jit_signature: false | |
| - schema_string: aten::zeros_like(Tensor self, *, TensorOptions options) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::zeros_like(Tensor self, *, ScalarType dtype, Layout layout, | |
| + Device device) -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -41680,9 +41721,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: sparse_coo_tensor | |
| - matches_jit_signature: false | |
| - schema_string: aten::sparse_coo_tensor(int[] size, *, TensorOptions options) -> | |
| - Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::sparse_coo_tensor(int[] size, *, ScalarType dtype, Layout layout, | |
| + Device device) -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -41714,8 +41755,8 @@ | |
| deprecated: false | |
| - name: sparse_coo_tensor | |
| matches_jit_signature: false | |
| - schema_string: aten::sparse_coo_tensor(IndexTensor indices, Tensor values, *, TensorOptions | |
| - options=[]) -> Tensor | |
| + schema_string: aten::sparse_coo_tensor(IndexTensor indices, Tensor values, *, ScalarType | |
| + dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -41754,7 +41795,8 @@ | |
| - name: sparse_coo_tensor | |
| matches_jit_signature: false | |
| schema_string: aten::sparse_coo_tensor(IndexTensor indices, Tensor values, int[] | |
| - size, *, TensorOptions options=[]) -> Tensor | |
| + size, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") | |
| + -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -41798,7 +41840,8 @@ | |
| - name: _sparse_coo_tensor_unsafe | |
| matches_jit_signature: false | |
| schema_string: aten::_sparse_coo_tensor_unsafe(IndexTensor indices, Tensor values, | |
| - int[] size, *, TensorOptions options=[]) -> Tensor | |
| + int[] size, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") | |
| + -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -41840,9 +41883,10 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: _sparse_coo_tensor_with_dims | |
| - matches_jit_signature: false | |
| + matches_jit_signature: true | |
| schema_string: aten::_sparse_coo_tensor_with_dims(int sparse_dim, int dense_dim, | |
| - int[] size, *, TensorOptions options) -> Tensor | |
| + int[] size, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") | |
| + -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -41861,6 +41905,7 @@ | |
| name: size | |
| type: IntArrayRef | |
| - annotation: null | |
| + default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| kwarg_only: true | |
| @@ -41883,10 +41928,10 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: _sparse_coo_tensor_with_dims_and_tensors | |
| - matches_jit_signature: false | |
| + matches_jit_signature: true | |
| schema_string: aten::_sparse_coo_tensor_with_dims_and_tensors(int sparse_dim, int | |
| - dense_dim, int[] size, Tensor indices, Tensor values, *, TensorOptions options) | |
| - -> Tensor | |
| + dense_dim, int[] size, Tensor indices, Tensor values, *, ScalarType dtype=float, | |
| + Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -41915,6 +41960,7 @@ | |
| name: values | |
| type: const Tensor & | |
| - annotation: null | |
| + default: '{}' | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| kwarg_only: true | |
| @@ -42620,9 +42666,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: to | |
| - matches_jit_signature: false | |
| - schema_string: aten::to(Tensor self, TensorOptions options, bool non_blocking=False, | |
| - bool copy=False) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::to(Tensor self, ScalarType dtype, Layout layout, Device device, | |
| + bool non_blocking=False, bool copy=False) -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -48050,9 +48096,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: tril_indices | |
| - matches_jit_signature: false | |
| - schema_string: aten::tril_indices(int row, int col, int offset=0, TensorOptions | |
| - options=at::kLong) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::tril_indices(int row, int col, int offset=0, *, ScalarType | |
| + dtype=long, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -48075,6 +48121,7 @@ | |
| default: at::kLong | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -48094,9 +48141,9 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: triu_indices | |
| - matches_jit_signature: false | |
| - schema_string: aten::triu_indices(int row, int col, int offset=0, TensorOptions | |
| - options=at::kLong) -> Tensor | |
| + matches_jit_signature: true | |
| + schema_string: aten::triu_indices(int row, int col, int offset=0, *, ScalarType | |
| + dtype=long, Layout layout=strided, Device device=\"cpu\") -> Tensor | |
| method_prefix_derived: '' | |
| arguments: | |
| - annotation: null | |
| @@ -48119,6 +48166,7 @@ | |
| default: at::kLong | |
| dynamic_type: TensorOptions | |
| is_nullable: false | |
| + kwarg_only: true | |
| name: options | |
| type: const TensorOptions & | |
| method_of: | |
| @@ -49400,7 +49448,7 @@ | |
| with_gil: false | |
| deprecated: false | |
| - name: _gather_sparse_backward | |
| - matches_jit_signature: false | |
| + matches_jit_signature: true | |
| schema_string: aten::_gather_sparse_backward(Tensor self, int dim, Tensor index, | |
| Tensor grad) -> Tensor | |
| method_prefix_derived: '' | |
| @@ -49638,7 +49686,7 @@ | |
| - name: gels_out | |
| matches_jit_signature: false | |
| schema_string: aten::gels(Tensor self, Tensor A, *, Tensor(a!) X, Tensor(b!) qr) | |
| - ->(Tensor(a!), Tensor(b!)) | |
| + -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -49724,7 +49772,7 @@ | |
| - name: trtrs_out | |
| matches_jit_signature: false | |
| schema_string: aten::trtrs(Tensor self, Tensor A, bool upper=True, bool transpose=False, | |
| - bool unitriangular=False, *, Tensor(a!) X, Tensor(b!) M) ->(Tensor(a!), Tensor(b!)) | |
| + bool unitriangular=False, *, Tensor(a!) X, Tensor(b!) M) -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -49847,7 +49895,7 @@ | |
| - name: symeig_out | |
| matches_jit_signature: false | |
| schema_string: aten::symeig(Tensor self, bool eigenvectors=False, bool upper=True, | |
| - *, Tensor(a!) e, Tensor(b!) V) ->(Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) | |
| + *, Tensor(a!) e, Tensor(b!) V) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -49954,7 +50002,7 @@ | |
| - name: eig_out | |
| matches_jit_signature: false | |
| schema_string: aten::eig(Tensor self, bool eigenvectors=False, *, Tensor(a!) e, | |
| - Tensor(b!) v) ->(Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) | |
| + Tensor(b!) v) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -50049,7 +50097,7 @@ | |
| - name: svd_out | |
| matches_jit_signature: false | |
| schema_string: aten::svd(Tensor self, bool some=True, bool compute_uv=True, *, Tensor(a!) | |
| - U, Tensor(b!) S, Tensor(c!) V) ->(Tensor(a!) U, Tensor(b!) S, Tensor(c!) V) | |
| + U, Tensor(b!) S, Tensor(c!) V) -> (Tensor(a!) U, Tensor(b!) S, Tensor(c!) V) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -50473,7 +50521,7 @@ | |
| - name: pstrf_out | |
| matches_jit_signature: false | |
| schema_string: aten::pstrf(Tensor self, bool upper=True, Scalar tol=-1, *, Tensor(a!) | |
| - u, Tensor(b!) pivot) ->(Tensor(a!) u, Tensor(b!) pivot) | |
| + u, Tensor(b!) pivot) -> (Tensor(a!) u, Tensor(b!) pivot) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -50579,7 +50627,7 @@ | |
| deprecated: false | |
| - name: qr_out | |
| matches_jit_signature: false | |
| - schema_string: aten::qr(Tensor self, *, Tensor(a!) Q, Tensor(b!) R) ->(Tensor(a!) | |
| + schema_string: aten::qr(Tensor self, *, Tensor(a!) Q, Tensor(b!) R) -> (Tensor(a!) | |
| Q, Tensor(b!) R) | |
| method_prefix_derived: '' | |
| arguments: | |
| @@ -50661,7 +50709,7 @@ | |
| deprecated: false | |
| - name: geqrf_out | |
| matches_jit_signature: false | |
| - schema_string: aten::geqrf(Tensor self, *, Tensor(a!) a, Tensor(b!) tau) ->(Tensor(a!) | |
| + schema_string: aten::geqrf(Tensor self, *, Tensor(a!) a, Tensor(b!) tau) -> (Tensor(a!) | |
| a, Tensor(b!) tau) | |
| method_prefix_derived: '' | |
| arguments: | |
| @@ -50922,7 +50970,7 @@ | |
| - name: btrifact_out | |
| matches_jit_signature: false | |
| schema_string: aten::btrifact(Tensor self, *, bool pivot=True, Tensor(a!) A_LU, | |
| - Tensor(b!) pivots) ->(Tensor(a!), Tensor(b!)) | |
| + Tensor(b!) pivots) -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -51012,7 +51060,7 @@ | |
| - name: btrifact_with_info_out | |
| matches_jit_signature: false | |
| schema_string: aten::btrifact_with_info(Tensor self, *, bool pivot=True, Tensor(a!) | |
| - A_LU, Tensor(b!) pivots, Tensor(c!) info) ->(Tensor(a!), Tensor(b!), Tensor(c!)) | |
| + A_LU, Tensor(b!) pivots, Tensor(c!) info) -> (Tensor(a!), Tensor(b!), Tensor(c!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -52596,7 +52644,7 @@ | |
| - name: sort_out | |
| matches_jit_signature: false | |
| schema_string: aten::sort(Tensor self, int dim=-1, bool descending=False, *, Tensor(a!) | |
| - values, Tensor(b!) indices) ->(Tensor(a!), Tensor(b!)) | |
| + values, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -52737,7 +52785,7 @@ | |
| - name: topk_out | |
| matches_jit_signature: false | |
| schema_string: aten::topk(Tensor self, int k, int dim=-1, bool largest=True, bool | |
| - sorted=True, *, Tensor(a!) values, Tensor(b!) indices) ->(Tensor(a!), Tensor(b!)) | |
| + sorted=True, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -54466,7 +54514,7 @@ | |
| - name: multilabel_margin_loss_forward_out | |
| matches_jit_signature: false | |
| schema_string: aten::multilabel_margin_loss_forward(Tensor self, Tensor target, | |
| - int reduction, *, Tensor(a!) output, Tensor(b!) is_target) ->(Tensor(a!), Tensor(b!)) | |
| + int reduction, *, Tensor(a!) output, Tensor(b!) is_target) -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -54776,7 +54824,7 @@ | |
| matches_jit_signature: false | |
| schema_string: aten::nll_loss_forward(Tensor self, Tensor target, Tensor? weight, | |
| int reduction, int ignore_index, *, Tensor(a!) output, Tensor(b!) total_weight) | |
| - ->(Tensor(a!), Tensor(b!)) | |
| + -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -55126,7 +55174,7 @@ | |
| matches_jit_signature: false | |
| schema_string: aten::nll_loss2d_forward(Tensor self, Tensor target, Tensor? weight, | |
| int reduction, int ignore_index, *, Tensor(a!) output, Tensor(b!) total_weight) | |
| - ->(Tensor(a!), Tensor(b!)) | |
| + -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -56583,7 +56631,7 @@ | |
| - name: log_sigmoid_forward_out | |
| matches_jit_signature: false | |
| schema_string: aten::log_sigmoid_forward(Tensor self, *, Tensor(a!) output, Tensor(b!) | |
| - buffer) ->(Tensor(a!), Tensor(b!)) | |
| + buffer) -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -57660,7 +57708,7 @@ | |
| - name: adaptive_max_pool2d_out | |
| matches_jit_signature: false | |
| schema_string: aten::adaptive_max_pool2d(Tensor self, int[2] output_size, *, Tensor(a!) | |
| - output, Tensor(b!) indices) ->(Tensor(a!), Tensor(b!)) | |
| + output, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -57830,7 +57878,7 @@ | |
| - name: adaptive_max_pool3d_out | |
| matches_jit_signature: false | |
| schema_string: aten::adaptive_max_pool3d(Tensor self, int[3] output_size, *, Tensor(a!) | |
| - output, Tensor(b!) indices) ->(Tensor(a!), Tensor(b!)) | |
| + output, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -58515,7 +58563,7 @@ | |
| matches_jit_signature: false | |
| schema_string: aten::fractional_max_pool2d(Tensor self, int[2] kernel_size, int[2] | |
| output_size, Tensor random_samples, *, Tensor(a!) output, Tensor(b!) indices) | |
| - ->(Tensor(a!), Tensor(b!)) | |
| + -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -58733,7 +58781,7 @@ | |
| matches_jit_signature: false | |
| schema_string: aten::fractional_max_pool3d(Tensor self, int[3] kernel_size, int[3] | |
| output_size, Tensor random_samples, *, Tensor(a!) output, Tensor(b!) indices) | |
| - ->(Tensor(a!), Tensor(b!)) | |
| + -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -58951,7 +58999,7 @@ | |
| matches_jit_signature: false | |
| schema_string: aten::max_pool2d_with_indices(Tensor self, int[2] kernel_size, int[2] | |
| stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) | |
| - output, Tensor(b!) indices) ->(Tensor(a!), Tensor(b!)) | |
| + output, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -59237,7 +59285,7 @@ | |
| matches_jit_signature: false | |
| schema_string: aten::max_pool3d_with_indices(Tensor self, int[3] kernel_size, int[3] | |
| stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False, *, Tensor(a!) | |
| - output, Tensor(b!) indices) ->(Tensor(a!), Tensor(b!)) | |
| + output, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -62206,8 +62254,8 @@ | |
| matches_jit_signature: false | |
| schema_string: aten::thnn_conv_transpose2d_forward(Tensor self, Tensor weight, int[2] | |
| kernel_size, Tensor? bias, int[2] stride, int[2] padding, int[2] output_padding, | |
| - int[2] dilation, *, Tensor(a!) output, Tensor(b!) columns, Tensor(c!) ones) ->(Tensor(a!), | |
| - Tensor(b!), Tensor(c!)) | |
| + int[2] dilation, *, Tensor(a!) output, Tensor(b!) columns, Tensor(c!) ones) -> | |
| + (Tensor(a!), Tensor(b!), Tensor(c!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -62383,7 +62431,7 @@ | |
| schema_string: aten::thnn_conv_transpose2d_backward(Tensor grad_output, Tensor self, | |
| Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, int[2] output_padding, | |
| int[2] dilation, Tensor columns, Tensor ones, *, Tensor?(a!) grad_input, Tensor?(b!) | |
| - grad_weight, Tensor?(c!) grad_bias) ->(Tensor(a!), Tensor(b!), Tensor(c!)) | |
| + grad_weight, Tensor?(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -62739,7 +62787,7 @@ | |
| schema_string: aten::thnn_conv_transpose3d_forward(Tensor self, Tensor weight, int[3] | |
| kernel_size, Tensor? bias, int[3] stride, int[3] padding, int[3] output_padding, | |
| int[3] dilation, *, Tensor(a!) output, Tensor(b!) finput, Tensor(c!) fgrad_input) | |
| - ->(Tensor(a!), Tensor(b!), Tensor(c!)) | |
| + -> (Tensor(a!), Tensor(b!), Tensor(c!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -62915,7 +62963,7 @@ | |
| schema_string: aten::thnn_conv_transpose3d_backward(Tensor grad_output, Tensor self, | |
| Tensor weight, int[3] kernel_size, int[3] stride, int[3] padding, int[3] output_padding, | |
| int[3] dilation, Tensor finput, Tensor fgrad_input, *, Tensor?(a!) grad_input, | |
| - Tensor?(b!) grad_weight, Tensor?(c!) grad_bias) ->(Tensor(a!), Tensor(b!), Tensor(c!)) | |
| + Tensor?(b!) grad_weight, Tensor?(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -63240,7 +63288,7 @@ | |
| matches_jit_signature: false | |
| schema_string: aten::thnn_conv2d_forward(Tensor self, Tensor weight, int[2] kernel_size, | |
| Tensor? bias, int[2] stride, int[2] padding, *, Tensor(a!) output, Tensor(b!) | |
| - finput, Tensor(c!) fgrad_input) ->(Tensor(a!), Tensor(b!), Tensor(c!)) | |
| + finput, Tensor(c!) fgrad_input) -> (Tensor(a!), Tensor(b!), Tensor(c!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -63392,7 +63440,7 @@ | |
| schema_string: aten::thnn_conv2d_backward(Tensor grad_output, Tensor self, Tensor | |
| weight, int[2] kernel_size, int[2] stride, int[2] padding, Tensor finput, Tensor | |
| fgrad_input, *, Tensor?(a!) grad_input, Tensor?(b!) grad_weight, Tensor?(c!) grad_bias) | |
| - ->(Tensor(a!), Tensor(b!), Tensor(c!)) | |
| + -> (Tensor(a!), Tensor(b!), Tensor(c!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -63840,7 +63888,7 @@ | |
| matches_jit_signature: false | |
| schema_string: aten::thnn_conv_depthwise2d_backward(Tensor grad_output, Tensor self, | |
| Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, int[2] dilation, | |
| - *, Tensor?(a!) grad_input, Tensor?(b!) grad_weight) ->(Tensor(a!), Tensor(b!)) | |
| + *, Tensor?(a!) grad_input, Tensor?(b!) grad_weight) -> (Tensor(a!), Tensor(b!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -64117,7 +64165,7 @@ | |
| matches_jit_signature: false | |
| schema_string: aten::thnn_conv3d_forward(Tensor self, Tensor weight, int[3] kernel_size, | |
| Tensor? bias, int[3] stride, int[3] padding, *, Tensor(a!) output, Tensor(b!) | |
| - finput, Tensor(c!) fgrad_input) ->(Tensor(a!), Tensor(b!), Tensor(c!)) | |
| + finput, Tensor(c!) fgrad_input) -> (Tensor(a!), Tensor(b!), Tensor(c!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| @@ -64269,7 +64317,7 @@ | |
| schema_string: aten::thnn_conv3d_backward(Tensor grad_output, Tensor self, Tensor | |
| weight, int[3] kernel_size, int[3] stride, int[3] padding, Tensor finput, Tensor | |
| fgrad_input, *, Tensor?(a!) grad_input, Tensor?(b!) grad_weight, Tensor?(c!) grad_bias) | |
| - ->(Tensor(a!), Tensor(b!), Tensor(c!)) | |
| + -> (Tensor(a!), Tensor(b!), Tensor(c!)) | |
| method_prefix_derived: '' | |
| arguments: | |
| - allocate: true | |
| diff --git a/build/aten/src/ATen/Functions.h b/build/aten/src/ATen/Functions.h | |
| index 36a1ea54e..e6beec41d 100644 | |
| --- a/build/aten/src/ATen/Functions.h | |
| +++ b/build/aten/src/ATen/Functions.h | |
| @@ -547,7 +547,7 @@ static inline std::tuple<Tensor,Tensor> _cudnn_ctc_loss(const Tensor & log_probs | |
| static inline Tensor _cudnn_rnn_flatten_weight(TensorList weight_arr, int64_t weight_stride0, int64_t input_size, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, bool bidirectional); | |
| static inline std::tuple<Tensor,Tensor,Tensor,Tensor,Tensor> _cudnn_rnn(const Tensor & input, TensorList weight, int64_t weight_stride0, const Tensor & weight_buf, const Tensor & hx, const Tensor & cx, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, IntArrayRef batch_sizes, const Tensor & dropout_state); | |
| static inline std::tuple<Tensor,Tensor,Tensor,std::vector<Tensor>> _cudnn_rnn_backward(const Tensor & input, TensorList weight, int64_t weight_stride0, const Tensor & weight_buf, const Tensor & hx, const Tensor & cx, const Tensor & output, const Tensor & grad_output, const Tensor & grad_hy, const Tensor & grad_cy, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, IntArrayRef batch_sizes, const Tensor & dropout_state, const Tensor & reserve, std::array<bool,4> output_mask); | |
| -static inline Tensor _cudnn_init_dropout_state(double dropout, bool train, int64_t dropout_seed, const TensorOptions & options); | |
| +static inline Tensor _cudnn_init_dropout_state(double dropout, bool train, int64_t dropout_seed, const TensorOptions & options={}); | |
| static inline std::tuple<Tensor,Tensor> _fused_dropout(const Tensor & self, double p, Generator * generator=nullptr); | |
| static inline Tensor _masked_scale(const Tensor & self, const Tensor & mask, double scale); | |
| static inline Tensor _reshape_from_tensor(const Tensor & self, const Tensor & shape); | |
| @@ -1088,8 +1088,8 @@ static inline Tensor sparse_coo_tensor(IntArrayRef size, const TensorOptions & o | |
| static inline Tensor sparse_coo_tensor(const Tensor & indices, const Tensor & values, const TensorOptions & options={}); | |
| static inline Tensor sparse_coo_tensor(const Tensor & indices, const Tensor & values, IntArrayRef size, const TensorOptions & options={}); | |
| static inline Tensor _sparse_coo_tensor_unsafe(const Tensor & indices, const Tensor & values, IntArrayRef size, const TensorOptions & options={}); | |
| -static inline Tensor _sparse_coo_tensor_with_dims(int64_t sparse_dim, int64_t dense_dim, IntArrayRef size, const TensorOptions & options); | |
| -static inline Tensor _sparse_coo_tensor_with_dims_and_tensors(int64_t sparse_dim, int64_t dense_dim, IntArrayRef size, const Tensor & indices, const Tensor & values, const TensorOptions & options); | |
| +static inline Tensor _sparse_coo_tensor_with_dims(int64_t sparse_dim, int64_t dense_dim, IntArrayRef size, const TensorOptions & options={}); | |
| +static inline Tensor _sparse_coo_tensor_with_dims_and_tensors(int64_t sparse_dim, int64_t dense_dim, IntArrayRef size, const Tensor & indices, const Tensor & values, const TensorOptions & options={}); | |
| static inline Tensor & hspmm_out(Tensor & out, const Tensor & mat1, const Tensor & mat2); | |
| static inline Tensor hspmm(const Tensor & mat1, const Tensor & mat2); | |
| static inline Tensor & copy_sparse_to_sparse_(Tensor & self, const Tensor & src, bool non_blocking=false); | |
| diff --git a/build/aten/src/ATen/NativeFunctions.h b/build/aten/src/ATen/NativeFunctions.h | |
| index ac6b19a44..4d9592241 100644 | |
| --- a/build/aten/src/ATen/NativeFunctions.h | |
| +++ b/build/aten/src/ATen/NativeFunctions.h | |
| @@ -76,7 +76,7 @@ CAFFE2_API std::tuple<Tensor,Tensor> _cudnn_ctc_loss(const Tensor & log_probs, c | |
| CAFFE2_API Tensor _cudnn_rnn_flatten_weight(TensorList weight_arr, int64_t weight_stride0, int64_t input_size, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, bool bidirectional); | |
| CAFFE2_API std::tuple<Tensor,Tensor,Tensor,Tensor,Tensor> _cudnn_rnn(const Tensor & input, TensorList weight, int64_t weight_stride0, const Tensor & weight_buf, const Tensor & hx, const Tensor & cx, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, IntArrayRef batch_sizes, const Tensor & dropout_state); | |
| CAFFE2_API std::tuple<Tensor,Tensor,Tensor,std::vector<Tensor>> _cudnn_rnn_backward(const Tensor & input, TensorList weight, int64_t weight_stride0, const Tensor & weight_buf, const Tensor & hx, const Tensor & cx, const Tensor & output, const Tensor & grad_output, const Tensor & grad_hy, const Tensor & grad_cy, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, IntArrayRef batch_sizes, const Tensor & dropout_state, const Tensor & reserve, std::array<bool,4> output_mask); | |
| -CAFFE2_API Tensor _cudnn_init_dropout_state(double dropout, bool train, int64_t dropout_seed, const TensorOptions & options); | |
| +CAFFE2_API Tensor _cudnn_init_dropout_state(double dropout, bool train, int64_t dropout_seed, const TensorOptions & options={}); | |
| CAFFE2_API std::tuple<Tensor,Tensor> fused_dropout_cuda(const Tensor & self, double p, Generator * generator=nullptr); | |
| CAFFE2_API Tensor masked_scale_cuda(const Tensor & self, const Tensor & mask, double scale); | |
| CAFFE2_API Tensor _reshape_from_tensor(const Tensor & self, const Tensor & shape); | |
| @@ -770,8 +770,8 @@ CAFFE2_API Tensor sparse_coo_tensor(IntArrayRef size, const TensorOptions & opti | |
| CAFFE2_API Tensor sparse_coo_tensor(const Tensor & indices, const Tensor & values, const TensorOptions & options={}); | |
| CAFFE2_API Tensor sparse_coo_tensor(const Tensor & indices, const Tensor & values, IntArrayRef size, const TensorOptions & options={}); | |
| CAFFE2_API Tensor _sparse_coo_tensor_unsafe(const Tensor & indices, const Tensor & values, IntArrayRef size, const TensorOptions & options={}); | |
| -CAFFE2_API Tensor new_with_dims_sparse(int64_t sparse_dim, int64_t dense_dim, IntArrayRef size, const TensorOptions & options); | |
| -CAFFE2_API Tensor new_with_dims_and_tensor_sparse(int64_t sparse_dim, int64_t dense_dim, IntArrayRef size, const Tensor & indices, const Tensor & values, const TensorOptions & options); | |
| +CAFFE2_API Tensor new_with_dims_sparse(int64_t sparse_dim, int64_t dense_dim, IntArrayRef size, const TensorOptions & options={}); | |
| +CAFFE2_API Tensor new_with_dims_and_tensor_sparse(int64_t sparse_dim, int64_t dense_dim, IntArrayRef size, const Tensor & indices, const Tensor & values, const TensorOptions & options={}); | |
| CAFFE2_API Tensor & sparse_resize_(Tensor & self, IntArrayRef size, int64_t sparse_dim, int64_t dense_dim); | |
| CAFFE2_API Tensor & sparse_resize_and_clear_(Tensor & self, IntArrayRef size, int64_t sparse_dim, int64_t dense_dim); | |
| CAFFE2_API Tensor sparse_mask_cpu(const Tensor & self, SparseTensorRef mask); | |
| diff --git a/torch/csrc/autograd/generated/variable_factories.h b/torch/csrc/autograd/generated/variable_factories.h | |
| index 174192467..8544564f3 100644 | |
| --- a/torch/csrc/autograd/generated/variable_factories.h | |
| +++ b/torch/csrc/autograd/generated/variable_factories.h | |
| @@ -105,7 +105,7 @@ inline at::Tensor from_blob( | |
| return torch::from_blob(data, sizes, /*deleter=*/[](void*) {}, options); | |
| } | |
| -inline at::Tensor _cudnn_init_dropout_state(double dropout, bool train, int64_t dropout_seed, const at::TensorOptions & options) { | |
| +inline at::Tensor _cudnn_init_dropout_state(double dropout, bool train, int64_t dropout_seed, const at::TensorOptions & options = {}) { | |
| torch::jit::Node* node = nullptr; | |
| std::shared_ptr<jit::tracer::TracingState> tracer_state; | |
| if (jit::tracer::isTracing()) { | |
| @@ -1489,7 +1489,7 @@ inline at::Tensor _sparse_coo_tensor_unsafe(const at::Tensor & indices, const at | |
| } | |
| return result; | |
| } | |
| -inline at::Tensor _sparse_coo_tensor_with_dims(int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, const at::TensorOptions & options) { | |
| +inline at::Tensor _sparse_coo_tensor_with_dims(int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, const at::TensorOptions & options = {}) { | |
| torch::jit::Node* node = nullptr; | |
| std::shared_ptr<jit::tracer::TracingState> tracer_state; | |
| if (jit::tracer::isTracing()) { | |
| @@ -1515,7 +1515,7 @@ inline at::Tensor _sparse_coo_tensor_with_dims(int64_t sparse_dim, int64_t dense | |
| } | |
| return result; | |
| } | |
| -inline at::Tensor _sparse_coo_tensor_with_dims_and_tensors(int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, const at::Tensor & indices, const at::Tensor & values, const at::TensorOptions & options) { | |
| +inline at::Tensor _sparse_coo_tensor_with_dims_and_tensors(int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, const at::Tensor & indices, const at::Tensor & values, const at::TensorOptions & options = {}) { | |
| torch::jit::Node* node = nullptr; | |
| std::shared_ptr<jit::tracer::TracingState> tracer_state; | |
| if (jit::tracer::isTracing()) { | |
| diff --git a/torch/csrc/jit/generated/register_aten_ops_0.cpp b/torch/csrc/jit/generated/register_aten_ops_0.cpp | |
| index 5a9c7d601..e90eaa749 100644 | |
| --- a/torch/csrc/jit/generated/register_aten_ops_0.cpp | |
| +++ b/torch/csrc/jit/generated/register_aten_ops_0.cpp | |
| @@ -4763,7 +4763,7 @@ RegisterOperators reg({ | |
| } | |
| ), | |
| Operator( | |
| - "aten::full_like(Tensor self, Scalar fill_value, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor", | |
| + "aten::full_like(Tensor self, Scalar fill_value, *, ScalarType dtype, Layout layout, Device device) -> Tensor", | |
| [](Stack & stack) { | |
| autograd::profiler::RecordFunction record("full_like"); | |
| @@ -6554,7 +6554,7 @@ RegisterOperators reg({ | |
| } | |
| ), | |
| Operator( | |
| - "aten::randn_like(Tensor self, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor", | |
| + "aten::randn_like(Tensor self, *, ScalarType dtype, Layout layout, Device device) -> Tensor", | |
| [](Stack & stack) { | |
| autograd::profiler::RecordFunction record("randn_like"); | |
| diff --git a/torch/csrc/jit/generated/register_aten_ops_1.cpp b/torch/csrc/jit/generated/register_aten_ops_1.cpp | |
| index d0e817587..5c4aae09f 100644 | |
| --- a/torch/csrc/jit/generated/register_aten_ops_1.cpp | |
| +++ b/torch/csrc/jit/generated/register_aten_ops_1.cpp | |
| @@ -4391,7 +4391,7 @@ RegisterOperators reg({ | |
| } | |
| ), | |
| Operator( | |
| - "aten::empty_like(Tensor self, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor", | |
| + "aten::empty_like(Tensor self, *, ScalarType dtype, Layout layout, Device device) -> Tensor", | |
| [](Stack & stack) { | |
| autograd::profiler::RecordFunction record("empty_like"); | |
| @@ -6562,7 +6562,7 @@ RegisterOperators reg({ | |
| } | |
| ), | |
| Operator( | |
| - "aten::rand_like(Tensor self, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor", | |
| + "aten::rand_like(Tensor self, *, ScalarType dtype, Layout layout, Device device) -> Tensor", | |
| [](Stack & stack) { | |
| autograd::profiler::RecordFunction record("rand_like"); | |
| @@ -7846,7 +7846,7 @@ RegisterOperators reg({ | |
| } | |
| ), | |
| Operator( | |
| - "aten::tril_indices(int row, int col, int offset=0, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor", | |
| + "aten::tril_indices(int row, int col, int offset=0, *, ScalarType dtype=long, Layout layout=strided, Device device=\"cpu\") -> Tensor", | |
| [](Stack & stack) { | |
| autograd::profiler::RecordFunction record("tril_indices"); | |
| @@ -7877,7 +7877,7 @@ RegisterOperators reg({ | |
| } | |
| ), | |
| Operator( | |
| - "aten::triu_indices(int row, int col, int offset=0, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor", | |
| + "aten::triu_indices(int row, int col, int offset=0, *, ScalarType dtype=long, Layout layout=strided, Device device=\"cpu\") -> Tensor", | |
| [](Stack & stack) { | |
| autograd::profiler::RecordFunction record("triu_indices"); | |
| diff --git a/torch/csrc/jit/generated/register_aten_ops_2.cpp b/torch/csrc/jit/generated/register_aten_ops_2.cpp | |
| index 332899d25..90e101a58 100644 | |
| --- a/torch/csrc/jit/generated/register_aten_ops_2.cpp | |
| +++ b/torch/csrc/jit/generated/register_aten_ops_2.cpp | |
| @@ -5952,7 +5952,7 @@ RegisterOperators reg({ | |
| } | |
| ), | |
| Operator( | |
| - "aten::ones_like(Tensor self, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor", | |
| + "aten::ones_like(Tensor self, *, ScalarType dtype, Layout layout, Device device) -> Tensor", | |
| [](Stack & stack) { | |
| autograd::profiler::RecordFunction record("ones_like"); | |
| @@ -6270,7 +6270,7 @@ RegisterOperators reg({ | |
| } | |
| ), | |
| Operator( | |
| - "aten::randint_like(Tensor self, int high, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor", | |
| + "aten::randint_like(Tensor self, int high, *, ScalarType dtype, Layout layout, Device device) -> Tensor", | |
| [](Stack & stack) { | |
| autograd::profiler::RecordFunction record("randint_like"); | |
| @@ -6287,7 +6287,7 @@ RegisterOperators reg({ | |
| } | |
| ), | |
| Operator( | |
| - "aten::randint_like(Tensor self, int low, int high, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor", | |
| + "aten::randint_like(Tensor self, int low, int high, *, ScalarType dtype, Layout layout, Device device) -> Tensor", | |
| [](Stack & stack) { | |
| autograd::profiler::RecordFunction record("randint_like"); | |
| @@ -6919,7 +6919,7 @@ RegisterOperators reg({ | |
| } | |
| ), | |
| Operator( | |
| - "aten::sparse_coo_tensor(int[] size, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor", | |
| + "aten::sparse_coo_tensor(int[] size, *, ScalarType dtype, Layout layout, Device device) -> Tensor", | |
| [](Stack & stack) { | |
| autograd::profiler::RecordFunction record("sparse_coo_tensor"); | |
| @@ -7525,7 +7525,7 @@ RegisterOperators reg({ | |
| } | |
| ), | |
| Operator( | |
| - "aten::to(Tensor self, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\", bool non_blocking=False, bool copy=False) -> Tensor", | |
| + "aten::to(Tensor self, ScalarType dtype, Layout layout, Device device, bool non_blocking=False, bool copy=False) -> Tensor", | |
| [](Stack & stack) { | |
| autograd::profiler::RecordFunction record("to"); | |
| @@ -7886,7 +7886,7 @@ RegisterOperators reg({ | |
| } | |
| ), | |
| Operator( | |
| - "aten::zeros_like(Tensor self, *, ScalarType dtype=float, Layout layout=strided, Device device=\"cpu\") -> Tensor", | |
| + "aten::zeros_like(Tensor self, *, ScalarType dtype, Layout layout, Device device) -> Tensor", | |
| [](Stack & stack) { | |
| autograd::profiler::RecordFunction record("zeros_like"); | |
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