mirror of
https://github.com/ROCm/jax.git
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4236eb2b59
This change, when enabled, stages out all primitive calls in the dynamic scope of a jitted, pmapped, or control flow function, rather than only staging out based on data dependence. One improvement is that jitted functions can consume less memory, by avoiding instantiating large constants at trace time, and cause less memory fragmentation as well. It also simplifies several internals. See https://github.com/google/jax/pull/3370 fo more information.
337 lines
5.2 KiB
Python
337 lines
5.2 KiB
Python
# Copyright 2019 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# flake8: noqa: F401
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from .lax import (
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ConvDimensionNumbers,
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DotDimensionNumbers,
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GatherDimensionNumbers,
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Precision,
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ScatterDimensionNumbers,
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abs,
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abs_p,
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acos,
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acosh,
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acosh_p,
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abs,
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abs_p,
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acos,
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acosh,
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acosh_p,
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add,
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add_p,
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after_all,
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after_all_p,
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and_p,
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argmax,
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argmax_p,
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argmin,
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argmin_p,
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asin,
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asinh,
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asinh_p,
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atan,
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atan2,
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atan2_p,
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atanh,
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atanh_p,
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batch_matmul,
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bessel_i0e,
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bessel_i0e_p,
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bessel_i1e,
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bessel_i1e_p,
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betainc,
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bitcast_convert_type,
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bitcast_convert_type_p,
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bitwise_and,
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bitwise_not,
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bitwise_or,
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bitwise_xor,
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broadcast,
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broadcast_in_dim,
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broadcast_in_dim_p,
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broadcast_p,
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broadcast_shapes,
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broadcast_to_rank,
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broadcasted_iota,
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ceil,
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ceil_p,
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clamp,
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clamp_p,
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collapse,
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complex,
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complex_p,
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concatenate,
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concatenate_p,
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conj,
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conj_p,
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conv,
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conv_dimension_numbers,
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conv_general_dilated,
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conv_general_dilated_p,
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conv_general_permutations,
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conv_general_shape_tuple,
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conv_shape_tuple,
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conv_transpose,
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conv_transpose_shape_tuple,
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conv_with_general_padding,
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convert_element_type,
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convert_element_type_p,
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cos,
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cos_p,
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cosh,
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cosh_p,
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create_token,
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create_token_p,
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cummax,
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cummax_p,
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cummin,
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cummin_p,
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cumprod,
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cumprod_p,
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cumsum,
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cumsum_p,
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digamma,
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digamma_p,
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div,
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div_p,
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dot,
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dot_general,
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dot_general_p,
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dtype,
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dtypes,
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dynamic_index_in_dim,
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dynamic_slice,
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dynamic_slice_in_dim,
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dynamic_slice_p,
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dynamic_update_index_in_dim,
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dynamic_update_slice,
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dynamic_update_slice_in_dim,
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dynamic_update_slice_p,
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eq,
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eq_p,
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erf,
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erf_inv,
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erf_inv_p,
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erf_p,
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erfc,
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erfc_p,
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exp,
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exp_p,
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expand_dims,
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expm1,
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expm1_p,
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floor,
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floor_p,
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full,
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full_like,
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gather,
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gather_p,
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ge,
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ge_p,
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gt,
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gt_p,
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igamma,
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igamma_grad_a,
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igamma_grad_a_p,
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igamma_p,
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igammac,
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igammac_p,
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imag,
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imag_p,
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index_in_dim,
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index_take,
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infeed,
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infeed_p,
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integer_pow,
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integer_pow_p,
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iota,
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is_finite,
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is_finite_p,
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itertools,
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le,
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le_p,
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lgamma,
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lgamma_p,
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log,
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log1p,
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log1p_p,
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log_p,
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lt,
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lt_p,
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lu,
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max,
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max_p,
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min,
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min_p,
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mul,
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mul_p,
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naryop,
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naryop_dtype_rule,
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ne,
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ne_p,
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neg,
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neg_p,
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nextafter,
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nextafter_p,
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not_p,
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or_p,
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outfeed,
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outfeed_p,
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pad,
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pad_p,
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padtype_to_pads,
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partial,
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population_count,
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population_count_p,
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pow,
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pow_p,
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prod,
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random_gamma_grad,
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random_gamma_grad_p,
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real,
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real_p,
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reciprocal,
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reduce,
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reduce_and_p,
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reduce_max_p,
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reduce_min_p,
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reduce_or_p,
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reduce_p,
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reduce_prod_p,
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reduce_sum_p,
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reduce_window,
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reduce_window_max_p,
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reduce_window_min_p,
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reduce_window_p,
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reduce_window_shape_tuple,
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reduce_window_sum_p,
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regularized_incomplete_beta_p,
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rem,
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rem_p,
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reshape,
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reshape_p,
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rev,
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rev_p,
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rng_uniform,
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rng_uniform_p,
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round,
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round_p,
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rsqrt,
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rsqrt_p,
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scatter,
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scatter_add,
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scatter_add_p,
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scatter_max,
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scatter_max_p,
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scatter_min,
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scatter_min_p,
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scatter_mul,
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scatter_mul_p,
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scatter_p,
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select,
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select_and_gather_add_p,
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select_and_scatter_add_p,
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select_and_scatter_p,
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select_p,
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shift_left,
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shift_left_p,
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shift_right_arithmetic,
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shift_right_arithmetic_p,
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shift_right_logical,
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shift_right_logical_p,
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sign,
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sign_p,
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sin,
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sin_p,
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sinh,
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sinh_p,
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slice,
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slice_in_dim,
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slice_p,
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sort,
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sort_key_val,
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sort_p,
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sqrt,
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sqrt_p,
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square,
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squeeze,
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squeeze_p,
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standard_abstract_eval,
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standard_naryop,
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standard_primitive,
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standard_translate,
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standard_unop,
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stop_gradient,
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sub,
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sub_p,
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tan,
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tanh,
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tanh_p,
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tie_in,
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top_k,
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top_k_p,
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transpose,
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transpose_p,
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unop,
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unop_dtype_rule,
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xor_p,
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zeros_like_array,
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)
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from .lax import (_reduce_sum, _reduce_max, _reduce_min, _reduce_or,
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_reduce_and, _reduce_window_sum, _reduce_window_max,
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_reduce_window_min, _reduce_window_prod,
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_select_and_gather_add, _float, _complex, _input_dtype,
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_const, _eq_meet, _broadcasting_select,
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_check_user_dtype_supported, _one, _zero, _const,
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_upcast_fp16_for_computation, _broadcasting_shape_rule,
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_eye, _tri, _delta, _ones, _zeros, _canonicalize_axis)
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from .lax_control_flow import (
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cond,
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cond_p,
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custom_linear_solve,
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custom_root,
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fori_loop,
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linear_solve_p,
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map,
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scan,
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scan_bind,
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scan_p,
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switch,
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while_loop,
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while_p,
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associative_scan,
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)
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from .lax_fft import (
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fft,
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fft_p,
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)
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from .lax_parallel import (
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all_gather,
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all_to_all,
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all_to_all_p,
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axis_index,
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pmax,
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pmax_p,
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pmean,
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pmin,
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pmin_p,
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ppermute,
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ppermute_p,
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pshuffle,
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psum,
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psum_p,
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pswapaxes,
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)
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