| 1 | {"version":3,"file":"mul.js","sourceRoot":"","sources":["../../src/ops/mul.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,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,EAAE,EAAC,MAAM,aAAa,CAAC;AAE/B;;;;;;;;;;;;;;;;;;;;;;;;GAwBG;AACH,SAAS,IAAI,CAAmB,CAAoB,EAAE,CAAoB;IACxE,IAAI,EAAE,GAAG,eAAe,CAAC,CAAC,EAAE,GAAG,EAAE,KAAK,CAAC,CAAC;IACxC,IAAI,EAAE,GAAG,eAAe,CAAC,CAAC,EAAE,GAAG,EAAE,KAAK,CAAC,CAAC;IACxC,CAAC,EAAE,EAAE,EAAE,CAAC,GAAG,cAAc,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC;IAElC,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;AACD,MAAM,CAAC,MAAM,GAAG,GAAG,EAAE,CAAC,EAAC,IAAI,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 */\n\nimport {ENGINE} from '../engine';\nimport {Multiply, MultiplyInputs} 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 {op} from './operation';\n\n/**\n * Multiplies two `tf.Tensor`s element-wise, A * B. Supports broadcasting.\n *\n * We also expose `tf.mulStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.tensor1d([2, 3, 4, 5]);\n *\n * a.mul(b).print(); // or tf.mul(a, b)\n * ```\n *\n * ```js\n * // Broadcast mul a with b.\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.scalar(5);\n *\n * a.mul(b).print(); // or tf.mul(a, b)\n * ```\n * @param a The first tensor to multiply.\n * @param b The second tensor to multiply. Must have the same dtype as `a`.\n *\n * @doc {heading: 'Operations', subheading: 'Arithmetic'}\n */\nfunction mul_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n let $a = convertToTensor(a, 'a', 'mul');\n let $b = convertToTensor(b, 'b', 'mul');\n [$a, $b] = makeTypesMatch($a, $b);\n\n const inputs: MultiplyInputs = {a: $a, b: $b};\n\n return ENGINE.runKernel(Multiply, inputs as {} as NamedTensorMap);\n}\nexport const mul = op({mul_});\n"]} |