| 1 | {"version":3,"file":"not_equal.js","sourceRoot":"","sources":["../../src/ops/not_equal.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AACH,OAAO,EAAC,MAAM,EAAC,MAAM,WAAW,CAAC;AACjC,OAAO,EAAC,QAAQ,EAAiB,MAAM,iBAAiB,CAAC;AAGzD,OAAO,EAAC,cAAc,EAAC,MAAM,gBAAgB,CAAC;AAC9C,OAAO,EAAC,eAAe,EAAC,MAAM,oBAAoB,CAAC;AAGnD,OAAO,EAAC,0BAA0B,EAAC,MAAM,kBAAkB,CAAC;AAC5D,OAAO,EAAC,EAAE,EAAC,MAAM,aAAa,CAAC;AAE/B;;;;;;;;;;;;;GAaG;AACH,SAAS,SAAS,CACd,CAAoB,EAAE,CAAoB;IAC5C,IAAI,EAAE,GAAG,eAAe,CAAC,CAAC,EAAE,GAAG,EAAE,UAAU,EAAE,mBAAmB,CAAC,CAAC;IAClE,IAAI,EAAE,GAAG,eAAe,CAAC,CAAC,EAAE,GAAG,EAAE,UAAU,EAAE,mBAAmB,CAAC,CAAC;IAClE,CAAC,EAAE,EAAE,EAAE,CAAC,GAAG,cAAc,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC;IAElC,0BAA0B,CAAC,EAAE,CAAC,KAAK,EAAE,EAAE,CAAC,KAAK,CAAC,CAAC;IAE/C,MAAM,MAAM,GAAmB,EAAC,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,EAAE,EAAC,CAAC;IAE9C,OAAO,MAAM,CAAC,SAAS,CAAC,QAAQ,EAAE,MAA8B,CAAC,CAAC;AACpE,CAAC;AAED,MAAM,CAAC,MAAM,QAAQ,GAAG,EAAE,CAAC,EAAC,SAAS,EAAC,CAAC,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. 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 */\nimport {ENGINE} from '../engine';\nimport {NotEqual, NotEqualInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\n\n/**\n * Returns the truth value of (a != b) element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([0, 2, 3]);\n *\n * a.notEqual(b).print();\n * ```\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n *\n * @doc {heading: 'Operations', subheading: 'Logical'}\n */\nfunction notEqual_<T extends Tensor>(\n a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n let $a = convertToTensor(a, 'a', 'notEqual', 'string_or_numeric');\n let $b = convertToTensor(b, 'b', 'notEqual', 'string_or_numeric');\n [$a, $b] = makeTypesMatch($a, $b);\n\n assertAndGetBroadcastShape($a.shape, $b.shape);\n\n const inputs: NotEqualInputs = {a: $a, b: $b};\n\n return ENGINE.runKernel(NotEqual, inputs as {} as NamedTensorMap);\n}\n\nexport const notEqual = op({notEqual_});\n"]} |