| 1 | {"version":3,"file":"log_sigmoid_test.js","sourceRoot":"","sources":["../../src/ops/log_sigmoid_test.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,KAAK,EAAE,MAAM,UAAU,CAAC;AAC/B,OAAO,EAAC,QAAQ,EAAE,iBAAiB,EAAC,MAAM,iBAAiB,CAAC;AAC5D,OAAO,EAAC,iBAAiB,EAAC,MAAM,cAAc,CAAC;AAE/C,iBAAiB,CAAC,YAAY,EAAE,QAAQ,EAAE,GAAG,EAAE;IAC7C,EAAE,CAAC,OAAO,EAAE,KAAK,IAAI,EAAE;QACrB,MAAM,MAAM,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACjC,MAAM,CAAC,GAAG,EAAE,CAAC,QAAQ,CAAC,MAAM,CAAC,CAAC;QAE9B,MAAM,MAAM,GAAG,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC;QAEhC,MAAM,QAAQ,GAAG,EAAE,CAAC;QACpB,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE;YAC/B,QAAQ,CAAC,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;SACxD;QACD,iBAAiB,CAAC,MAAM,MAAM,CAAC,IAAI,EAAE,EAAE,QAAQ,CAAC,CAAC;IACnD,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,QAAQ,EAAE,KAAK,IAAI,EAAE;QACtB,MAAM,CAAC,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC;QAExB,MAAM,MAAM,GAAG,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC;QAEhC,MAAM,QAAQ,GAAG,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;QACnD,iBAAiB,CAAC,MAAM,MAAM,CAAC,IAAI,EAAE,EAAE,QAAQ,CAAC,CAAC;IACnD,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,UAAU,EAAE,KAAK,IAAI,EAAE;QACxB,MAAM,MAAM,GAAG,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC;QAC7B,MAAM,CAAC,GAAG,EAAE,CAAC,QAAQ,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAEtC,MAAM,MAAM,GAAG,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC;QAEhC,MAAM,QAAQ,GAAG,EAAE,CAAC;QACpB,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE;YAC/B,QAAQ,CAAC,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;SACxD;QACD,iBAAiB,CAAC,MAAM,MAAM,CAAC,IAAI,EAAE,EAAE,QAAQ,CAAC,CAAC;IACnD,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,kCAAkC,EAAE,KAAK,IAAI,EAAE;QAChD,MAAM,MAAM,GAAG,CAAC,CAAC,GAAG,EAAE,CAAC,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC;QACnC,MAAM,CAAC,GAAG,EAAE,CAAC,QAAQ,CAAC,MAAM,CAAC,CAAC;QAE9B,MAAM,MAAM,GAAG,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC;QAEhC,MAAM,QAAQ,GAAG,CAAC,CAAC,GAAG,EAAE,CAAC,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC;QAErC,iBAAiB,CAAC,MAAM,MAAM,CAAC,IAAI,EAAE,EAAE,QAAQ,CAAC,CAAC;IACnD,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,kCAAkC,EAAE,KAAK,IAAI,EAAE;QAChD,MAAM,MAAM,GAAG,CAAC,GAAG,EAAE,GAAG,EAAE,IAAI,EAAE,KAAK,CAAC,CAAC;QACvC,MAAM,CAAC,GAAG,EAAE,CAAC,QAAQ,CAAC,MAAM,CAAC,CAAC;QAE9B,MAAM,MAAM,GAAG,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC;QAEhC,MAAM,QAAQ,GAAG,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC;QAE9B,iBAAiB,CAAC,MAAM,MAAM,CAAC,IAAI,EAAE,EAAE,QAAQ,CAAC,CAAC;IACnD,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,iBAAiB,EAAE,KAAK,IAAI,EAAE;QAC/B,MAAM,CAAC,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC;QAChC,MAAM,GAAG,GAAG,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC;QAC7B,iBAAiB,CACb,MAAM,GAAG,CAAC,IAAI,EAAE,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC;IACjE,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,mBAAmB,EAAE,KAAK,IAAI,EAAE;QACjC,MAAM,CAAC,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC;QACvB,MAAM,EAAE,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC;QACxB,MAAM,KAAK,GAAG,MAAM,EAAE,CAAC,KAAK,EAAE,CAAC;QAE/B,MAAM,EAAE,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC;QACjD,MAAM,IAAI,GAAG,MAAM,CAAC,CAAC,KAAK,EAAE,CAAC;QAC7B,MAAM,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC,CAAC;QACnC,iBAAiB,CAAC,MAAM,EAAE,CAAC,IAAI,EAAE,EAAE,CAAC,KAAK,GAAG,CAAC,CAAC,CAAC,CAAC;IAClD,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,qBAAqB,EAAE,KAAK,IAAI,EAAE;QACnC,MAAM,CAAC,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,MAAM,KAAK,GAAG,MAAM,CAAC,CAAC,KAAK,EAAE,CAAC;QAC9B,MAAM,EAAE,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,MAAM,MAAM,GAAG,MAAM,EAAE,CAAC,KAAK,EAAE,CAAC;QAChC,MAAM,EAAE,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC;QAEjD,MAAM,QAAQ,GAAG,EAAE,CAAC;QACpB,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE;YAC/B,MAAM,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;YACvC,QAAQ,CAAC,CAAC,CAAC,GAAG,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC;SAC7B;QAED,iBAAiB,CAAC,MAAM,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQ,CAAC,CAAC;IAC/C,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,sBAAsB,EAAE,KAAK,IAAI,EAAE;QACpC,MAAM,CAAC,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,MAAM,KAAK,GAAG,MAAM,CAAC,CAAC,KAAK,EAAE,CAAC;QAC9B,MAAM,EAAE,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,MAAM,MAAM,GAAG,MAAM,EAAE,CAAC,KAAK,EAAE,CAAC;QAChC,MAAM,EAAE,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,KAAK,EAAE,CAAC,CAAC,KAAK,EAAE,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC;QAEjE,MAAM,QAAQ,GAAG,EAAE,CAAC;QACpB,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE;YAC/B,MAAM,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;YACvC,QAAQ,CAAC,CAAC,CAAC,GAAG,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC;SAC7B;QAED,iBAAiB,CAAC,MAAM,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQ,CAAC,CAAC;IAC/C,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,qBAAqB,EAAE,KAAK,IAAI,EAAE;QACnC,MAAM,CAAC,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAC7C,MAAM,EAAE,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAE7C,MAAM,EAAE,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC;QAEjD,MAAM,QAAQ,GAAG,EAAE,CAAC;QACpB,MAAM,KAAK,GAAG,MAAM,CAAC,CAAC,IAAI,EAAE,CAAC;QAC7B,MAAM,MAAM,GAAG,MAAM,EAAE,CAAC,IAAI,EAAE,CAAC;QAC/B,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE;YAC/B,MAAM,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;YACvC,QAAQ,CAAC,CAAC,CAAC,GAAG,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC;SAC7B;QAED,iBAAiB,CAAC,MAAM,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQ,CAAC,CAAC;IAC/C,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,iCAAiC,EAAE,GAAG,EAAE;QACzC,MAAM,CAAC,GAAG,EAAE,CAAC,EAAE,CAAC,UAAU,CAAC,EAAe,CAAC,CAAC;aACvC,YAAY,CAAC,sDAAsD,CAAC,CAAC;IAC5E,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,8BAA8B,EAAE,KAAK,IAAI,EAAE;QAC5C,MAAM,MAAM,GAAG,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC,CAAC;QACjC,MAAM,QAAQ,GAAG,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;QACnD,iBAAiB,CAAC,MAAM,MAAM,CAAC,IAAI,EAAE,EAAE,QAAQ,CAAC,CAAC;IACnD,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,0BAA0B,EAAE,GAAG,EAAE;QAClC,MAAM,CAAC,GAAG,EAAE,CAAC,EAAE,CAAC,UAAU,CAAC,GAAG,CAAC,CAAC;aAC3B,YAAY,CAAC,qDAAqD,CAAC,CAAC;IAC3E,CAAC,CAAC,CAAC;AACL,CAAC,CAAC,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google Inc. 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 * as tf from '../index';\nimport {ALL_ENVS, describeWithFlags} from '../jasmine_util';\nimport {expectArraysClose} from '../test_util';\n\ndescribeWithFlags('logSigmoid', ALL_ENVS, () => {\n it('basic', async () => {\n const values = [1, -3, 2, 7, -4];\n const a = tf.tensor1d(values);\n\n const result = tf.logSigmoid(a);\n\n const expected = [];\n for (let i = 0; i < a.size; i++) {\n expected[i] = Math.log(1 / (1 + Math.exp(-values[i])));\n }\n expectArraysClose(await result.data(), expected);\n });\n\n it('scalar', async () => {\n const a = tf.scalar(-2);\n\n const result = tf.logSigmoid(a);\n\n const expected = [Math.log(1 / (1 + Math.exp(2)))];\n expectArraysClose(await result.data(), expected);\n });\n\n it('tensor2D', async () => {\n const values = [1, 2, -3, 5];\n const a = tf.tensor2d(values, [2, 2]);\n\n const result = tf.logSigmoid(a);\n\n const expected = [];\n for (let i = 0; i < a.size; i++) {\n expected[i] = Math.log(1 / (1 + Math.exp(-values[i])));\n }\n expectArraysClose(await result.data(), expected);\n });\n\n it('larger magnitude negative inputs', async () => {\n const values = [-100, -200, -3000];\n const a = tf.tensor1d(values);\n\n const result = tf.logSigmoid(a);\n\n const expected = [-100, -200, -3000];\n\n expectArraysClose(await result.data(), expected);\n });\n\n it('larger magnitude positive inputs', async () => {\n const values = [100, 200, 3000, 50000];\n const a = tf.tensor1d(values);\n\n const result = tf.logSigmoid(a);\n\n const expected = [0, 0, 0, 0];\n\n expectArraysClose(await result.data(), expected);\n });\n\n it('propagates NaNs', async () => {\n const a = tf.tensor1d([3, NaN]);\n const res = tf.logSigmoid(a);\n expectArraysClose(\n await res.data(), [Math.log(1 / (1 + Math.exp(-3))), NaN]);\n });\n\n it('gradients: Scalar', async () => {\n const a = tf.scalar(3);\n const dy = tf.scalar(4);\n const dyVal = await dy.array();\n\n const da = tf.grad(a => tf.logSigmoid(a))(a, dy);\n const aVal = await a.array();\n const y = 1 / (1 + Math.exp(aVal));\n expectArraysClose(await da.data(), [dyVal * y]);\n });\n\n it('gradients: Tensor1D', async () => {\n const a = tf.tensor1d([1, 2, -3, 5]);\n const aVals = await a.array();\n const dy = tf.tensor1d([1, 2, 3, 4]);\n const dyVals = await dy.array();\n const da = tf.grad(a => tf.logSigmoid(a))(a, dy);\n\n const expected = [];\n for (let i = 0; i < a.size; i++) {\n const y = 1 / (1 + Math.exp(aVals[i]));\n expected[i] = dyVals[i] * y;\n }\n\n expectArraysClose(await da.data(), expected);\n });\n\n it('gradient with clones', async () => {\n const a = tf.tensor1d([1, 2, -3, 5]);\n const aVals = await a.array();\n const dy = tf.tensor1d([1, 2, 3, 4]);\n const dyVals = await dy.array();\n const da = tf.grad(a => tf.logSigmoid(a.clone()).clone())(a, dy);\n\n const expected = [];\n for (let i = 0; i < a.size; i++) {\n const y = 1 / (1 + Math.exp(aVals[i]));\n expected[i] = dyVals[i] * y;\n }\n\n expectArraysClose(await da.data(), expected);\n });\n\n it('gradients: Tensor2D', async () => {\n const a = tf.tensor2d([1, 2, -3, 5], [2, 2]);\n const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n\n const da = tf.grad(a => tf.logSigmoid(a))(a, dy);\n\n const expected = [];\n const aVals = await a.data();\n const dyVals = await dy.data();\n for (let i = 0; i < a.size; i++) {\n const y = 1 / (1 + Math.exp(aVals[i]));\n expected[i] = dyVals[i] * y;\n }\n\n expectArraysClose(await da.data(), expected);\n });\n\n it('throws when passed a non-tensor', () => {\n expect(() => tf.logSigmoid({} as tf.Tensor))\n .toThrowError(/Argument 'x' passed to 'logSigmoid' must be a Tensor/);\n });\n\n it('accepts a tensor-like object', async () => {\n const result = tf.logSigmoid(-2);\n const expected = [Math.log(1 / (1 + Math.exp(2)))];\n expectArraysClose(await result.data(), expected);\n });\n\n it('throws for string tensor', () => {\n expect(() => tf.logSigmoid('q'))\n .toThrowError(/Argument 'x' passed to 'logSigmoid' must be numeric/);\n });\n});\n"]} |