@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
/**
* @license
* Copyright 2022 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
import { ENGINE } from '../engine';
import { SearchSorted } from '../kernel_names';
import { convertToTensor } from '../tensor_util_env';
import { sizeFromShape } from '../util_base';
import { op } from './operation';
import { reshape } from './reshape';
const INT32_MAX = 2147483648;
/**
* Searches for where a value would go in a sorted sequence.
*
* This is not a method for checking containment (like javascript in).
*
* The typical use case for this operation is "binning", "bucketing", or
* "discretizing". The values are assigned to bucket-indices based on the edges
* listed in 'sortedSequence'. This operation returns the bucket-index for each
* value.
*
* The side argument controls which index is returned if a value lands exactly
* on an edge.
*
* The axis is not settable for this operation. It always operates on the
* innermost dimension (axis=-1). The operation will accept any number of outer
* dimensions.
*
* Note: This operation assumes that 'sortedSequence' is sorted along the
* innermost axis, maybe using 'sort(..., axis=-1)'. If the sequence is not
* sorted no error is raised and the content of the returned tensor is not well
* defined.
*
* ```js
* const edges = tf.tensor1d([-1, 3.3, 9.1, 10.0]);
* let values = tf.tensor1d([0.0, 4.1, 12.0]);
* const result1 = tf.searchSorted(edges, values, 'left');
* result1.print(); // [1, 2, 4]
*
* const seq = tf.tensor1d([0, 3, 9, 10, 10]);
* values = tf.tensor1d([0, 4, 10]);
* const result2 = tf.searchSorted(seq, values, 'left');
* result2.print(); // [0, 2, 3]
* const result3 = tf.searchSorted(seq, values, 'right');
* result3.print(); // [1, 2, 5]
*
* const sortedSequence = tf.tensor2d([[0., 3., 8., 9., 10.],
* [1., 2., 3., 4., 5.]]);
* values = tf.tensor2d([[9.8, 2.1, 4.3],
* [0.1, 6.6, 4.5, ]]);
* const result4 = tf.searchSorted(sortedSequence, values, 'left');
* result4.print(); // [[4, 1, 2], [0, 5, 4]]
* ```
* @param sortedSequence: N-D. Sorted sequence.
* @param values: N-D. Search values.
* @param side: 'left'|'right'. Defaults to 'left'. 'left' corresponds to lower
* bound and 'right' to upper bound.
* @return An N-D int32 tensor the size of values containing the result of
* applying either lower bound or upper bound (depending on side) to each
* value. The result is not a global index to the entire Tensor, but the
* index in the last dimension.
* @doc {heading: 'Operations', subheading: 'Evaluation'}
*/
function searchSorted_(sortedSequence, values, side = 'left') {
const $sortedSequence = convertToTensor(sortedSequence, 'sortedSequence', 'searchSorted');
const $values = convertToTensor(values, 'values', 'searchSorted');
const sequenceSize = $sortedSequence.shape[$sortedSequence.shape.length - 1];
const valuesSize = $values.shape[$values.shape.length - 1];
const $sortedSequence2D = reshape($sortedSequence, [-1, sequenceSize]);
const $values2D = reshape($values, [-1, valuesSize]);
if ($sortedSequence2D.rank < 2) {
throw new Error(`Sorted input argument must be at least 2-dimensional`);
}
if ($sortedSequence2D.shape[0] !== $values2D.shape[0]) {
throw new Error(`Leading dimension of 'sortedSequence' and 'values' must match.`);
}
if (sizeFromShape($values2D.shape) >= INT32_MAX) {
throw new Error(`values tensor size must less than ${INT32_MAX}`);
}
if ($sortedSequence2D.shape[1] >= INT32_MAX) {
throw new Error(`trailing dim_size must less than ${INT32_MAX} for int32 output type, was ${$sortedSequence2D.shape[1]}`);
}
const inputs = {
sortedSequence: $sortedSequence2D,
values: $values2D,
};
const attrs = { side };
return ENGINE.runKernel(SearchSorted, inputs, attrs);
}
export const searchSorted = /* @__PURE__ */ op({ searchSorted_ });
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {SearchSorted, SearchSortedAttrs, SearchSortedInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {sizeFromShape} from '../util_base';\nimport {op} from './operation';\nimport {reshape} from './reshape';\n\nconst INT32_MAX = 2147483648;\n/**\n * Searches for where a value would go in a sorted sequence.\n *\n * This is not a method for checking containment (like javascript in).\n *\n * The typical use case for this operation is \"binning\", \"bucketing\", or\n * \"discretizing\". The values are assigned to bucket-indices based on the edges\n * listed in 'sortedSequence'. This operation returns the bucket-index for each\n * value.\n *\n * The side argument controls which index is returned if a value lands exactly\n * on an edge.\n *\n * The axis is not settable for this operation. It always operates on the\n * innermost dimension (axis=-1). The operation will accept any number of outer\n * dimensions.\n *\n * Note: This operation assumes that 'sortedSequence' is sorted along the\n * innermost axis, maybe using 'sort(..., axis=-1)'. If the sequence is not\n * sorted no error is raised and the content of the returned tensor is not well\n * defined.\n *\n * ```js\n * const edges = tf.tensor1d([-1, 3.3, 9.1, 10.0]);\n * let values = tf.tensor1d([0.0, 4.1, 12.0]);\n * const result1 = tf.searchSorted(edges, values, 'left');\n * result1.print(); // [1, 2, 4]\n *\n * const seq = tf.tensor1d([0, 3, 9, 10, 10]);\n * values = tf.tensor1d([0, 4, 10]);\n * const result2 = tf.searchSorted(seq, values, 'left');\n * result2.print(); // [0, 2, 3]\n * const result3 = tf.searchSorted(seq, values, 'right');\n * result3.print(); // [1, 2, 5]\n *\n * const sortedSequence = tf.tensor2d([[0., 3., 8., 9., 10.],\n *                                     [1., 2., 3., 4., 5.]]);\n * values = tf.tensor2d([[9.8, 2.1, 4.3],\n *                       [0.1, 6.6, 4.5, ]]);\n * const result4 = tf.searchSorted(sortedSequence, values, 'left');\n * result4.print(); // [[4, 1, 2], [0, 5, 4]]\n * ```\n * @param sortedSequence: N-D. Sorted sequence.\n * @param values: N-D. Search values.\n * @param side: 'left'|'right'. Defaults to 'left'. 'left' corresponds to lower\n *     bound and 'right' to upper bound.\n * @return An N-D int32 tensor the size of values containing the result of\n *     applying either lower bound or upper bound (depending on side) to each\n *     value. The result is not a global index to the entire Tensor, but the\n *     index in the last dimension.\n * @doc {heading: 'Operations', subheading: 'Evaluation'}\n */\nfunction searchSorted_(\n    sortedSequence: Tensor|TensorLike, values: Tensor|TensorLike,\n    side: 'left'|'right' = 'left'): Tensor {\n  const $sortedSequence =\n      convertToTensor(sortedSequence, 'sortedSequence', 'searchSorted');\n  const $values = convertToTensor(values, 'values', 'searchSorted');\n\n  const sequenceSize = $sortedSequence.shape[$sortedSequence.shape.length - 1];\n  const valuesSize = $values.shape[$values.shape.length - 1];\n  const $sortedSequence2D = reshape($sortedSequence, [-1, sequenceSize]);\n  const $values2D = reshape($values, [-1, valuesSize]);\n\n  if ($sortedSequence2D.rank < 2) {\n    throw new Error(`Sorted input argument must be at least 2-dimensional`);\n  }\n  if ($sortedSequence2D.shape[0] !== $values2D.shape[0]) {\n    throw new Error(\n        `Leading dimension of 'sortedSequence' and 'values' must match.`);\n  }\n  if (sizeFromShape($values2D.shape) >= INT32_MAX) {\n    throw new Error(`values tensor size must less than ${INT32_MAX}`);\n  }\n  if ($sortedSequence2D.shape[1] >= INT32_MAX) {\n    throw new Error(`trailing dim_size must less than ${\n        INT32_MAX} for int32 output type, was ${$sortedSequence2D.shape[1]}`);\n  }\n\n  const inputs: SearchSortedInputs = {\n    sortedSequence: $sortedSequence2D,\n    values: $values2D,\n  };\n  const attrs: SearchSortedAttrs = {side};\n\n  return ENGINE.runKernel(SearchSorted, inputs as {}, attrs as {});\n}\n\nexport const searchSorted = /* @__PURE__ */ op({searchSorted_});\n"]}