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| /**
| * @license
| * Copyright 2022 Google LLC.
| * 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 * as tf from '../index';
| import { ALL_ENVS, describeWithFlags } from '../jasmine_util';
| import { expectArraysClose } from '../test_util';
| async function runRaggedGather(starts, limits, deltas) {
| const output = tf.raggedRange(starts, limits, deltas);
| expect(output.rtNestedSplits.dtype).toEqual('int32');
| expect(output.rtNestedSplits.shape.length).toEqual(1);
| expect(output.rtDenseValues.dtype).toEqual(starts.dtype);
| expect(output.rtDenseValues.shape.length).toEqual(1);
| return {
| rtNestedSplits: await output.rtNestedSplits.data(),
| rtDenseValues: await output.rtDenseValues.data(),
| tensors: Object.values(output)
| };
| }
| describeWithFlags('raggedRange ', ALL_ENVS, () => {
| it('IntValues', async () => {
| const result = await runRaggedGather(tf.tensor1d([0, 5, 8, 5], 'int32'), tf.tensor1d([8, 7, 8, 1], 'int32'), tf.tensor1d([2, 1, 1, -1], 'int32'));
| // Expected: [[0, 2, 4, 6], [5, 6], [], [5, 4, 3, 2]]
| expectArraysClose(result.rtNestedSplits, [0, 4, 6, 6, 10]);
| expectArraysClose(result.rtDenseValues, [0, 2, 4, 6, 5, 6, 5, 4, 3, 2]);
| });
| it('FloatValues', async () => {
| const result = await runRaggedGather(tf.tensor1d([0, 5, 8, 5], 'float32'), tf.tensor1d([8, 7, 8, 1], 'float32'), tf.tensor1d([2, 1, 1, -1], 'float32'));
| // Expected: [[0, 2, 4, 6], [5, 6], [], [5, 4, 3, 2]]
| expectArraysClose(result.rtNestedSplits, [0, 4, 6, 6, 10]);
| expectArraysClose(result.rtDenseValues, [0, 2, 4, 6, 5, 6, 5, 4, 3, 2]);
| });
| it('RangeSizeOverflow', async () => {
| await expectAsync(runRaggedGather(tf.tensor1d([1.1, 0.1], 'float32'), tf.tensor1d([10, 1e10], 'float32'), tf.tensor1d([1, 1e-10], 'float32')))
| .toBeRejectedWithError('Requires ((limit - start) / delta) <= 2147483647');
| });
| it('BroadcastDeltas', async () => {
| const result = await runRaggedGather(tf.tensor1d([0, 5, 8], 'int32'), tf.tensor1d([8, 7, 8], 'int32'), tf.scalar(1, 'int32'));
| // Expected: [[0, 1, 2, 3, 4, 5, 6, 7], [5, 6], []]
| expectArraysClose(result.rtNestedSplits, [0, 8, 10, 10]);
| expectArraysClose(result.rtDenseValues, [0, 1, 2, 3, 4, 5, 6, 7, 5, 6]);
| });
| it('BroadcastLimitsAndDeltas', async () => {
| const result = await runRaggedGather(tf.scalar(0, 'int32'), tf.tensor1d([3, 0, 2], 'int32'), tf.scalar(1, 'int32'));
| // Expected: [[0, 1, 2], [], [0, 1]]
| expectArraysClose(result.rtNestedSplits, [0, 3, 3, 5]);
| expectArraysClose(result.rtDenseValues, [0, 1, 2, 0, 1]);
| });
| it('BroadcastStartsAndLimits', async () => {
| const result = await runRaggedGather(tf.scalar(0, 'int32'), tf.scalar(12, 'int32'), tf.tensor1d([3, 4, 5], 'int32'));
| // Expected: [[0, 3, 6, 9], [0, 4, 8], [0, 5, 10]]
| expectArraysClose(result.rtNestedSplits, [0, 4, 7, 10]);
| expectArraysClose(result.rtDenseValues, [0, 3, 6, 9, 0, 4, 8, 0, 5, 10]);
| });
| it('AllScalarInputs', async () => {
| const result = await runRaggedGather(tf.scalar(0, 'int32'), tf.scalar(5, 'int32'), tf.scalar(1, 'int32'));
| // Expected: [[0, 1, 2, 3, 4]]
| expectArraysClose(result.rtNestedSplits, [0, 5]);
| expectArraysClose(result.rtDenseValues, [0, 1, 2, 3, 4]);
| });
| it('InvalidArgsStarts', async () => {
| await expectAsync(runRaggedGather(tf.tensor2d([0, 5, 8, 5], [4, 1], 'int32'), tf.tensor1d([8, 7, 8, 1], 'int32'), tf.tensor1d([2, 1, 1, -1], 'int32')))
| .toBeRejectedWithError('starts must be a scalar or vector');
| });
| it('InvalidArgsLimits', async () => {
| await expectAsync(runRaggedGather(tf.tensor1d([0, 5, 8, 5], 'int32'), tf.tensor2d([8, 7, 8, 1], [4, 1], 'int32'), tf.tensor1d([2, 1, 1, -1], 'int32')))
| .toBeRejectedWithError('limits must be a scalar or vector');
| });
| it('InvalidArgsDeltas', async () => {
| await expectAsync(runRaggedGather(tf.tensor1d([0, 5, 8, 5], 'int32'), tf.tensor1d([8, 7, 8, 1], 'int32'), tf.tensor2d([2, 1, 1, -1], [4, 1], 'int32')))
| .toBeRejectedWithError('deltas must be a scalar or vector');
| });
| it('InvalidArgsShapeMismatch', async () => {
| await expectAsync(runRaggedGather(tf.tensor1d([0, 5, 8, 5], 'int32'), tf.tensor1d([7, 8, 1], 'int32'), tf.tensor1d([2, 1, 1, -1], 'int32')))
| .toBeRejectedWithError('starts, limits, and deltas must have the same shape');
| });
| it('InvalidArgsZeroDelta', async () => {
| await expectAsync(runRaggedGather(tf.tensor1d([0, 5, 8, 5], 'int32'), tf.tensor1d([7, 8, 8, 1], 'int32'), tf.tensor1d([2, 1, 0, -1], 'int32')))
| .toBeRejectedWithError('Requires delta != 0');
| });
| it('EmptyRangePositiveDelta', async () => {
| const result = await runRaggedGather(tf.tensor1d([0, 5], 'int32'), tf.tensor1d([5, 0], 'int32'), tf.scalar(2, 'int32'));
| // Expected: [[0, 2, 4], []]
| expectArraysClose(result.rtNestedSplits, [0, 3, 3]);
| expectArraysClose(result.rtDenseValues, [0, 2, 4]);
| });
| it('EmptyRangeNegativeDelta', async () => {
| const result = await runRaggedGather(tf.tensor1d([0, 5], 'int32'), tf.tensor1d([5, 0], 'int32'), tf.scalar(-2, 'int32'));
| // Expected: [[], [5, 3, 1]]
| expectArraysClose(result.rtNestedSplits, [0, 0, 3]);
| expectArraysClose(result.rtDenseValues, [5, 3, 1]);
| });
| it('does not have memory leak.', async () => {
| const beforeDataIds = tf.engine().backend.numDataIds();
| const starts = tf.tensor1d([0, 5, 8, 5], 'int32');
| const limits = tf.tensor1d([8, 7, 8, 1], 'int32');
| const deltas = tf.tensor1d([2, 1, 1, -1], 'int32');
| const result = await runRaggedGather(starts, limits, deltas);
| const afterResDataIds = tf.engine().backend.numDataIds();
| expect(afterResDataIds).toEqual(beforeDataIds + 5);
| tf.dispose([starts, limits, deltas]);
| tf.dispose(result.tensors);
| const afterDisposeDataIds = tf.engine().backend.numDataIds();
| expect(afterDisposeDataIds).toEqual(beforeDataIds);
| });
| });
| //# 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* @license\n * Copyright 2022 Google LLC.\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\nasync function runRaggedGather(\n    starts: tf.Tensor, limits: tf.Tensor, deltas: tf.Tensor) {\n  const output = tf.raggedRange(starts, limits, deltas);\n\n  expect(output.rtNestedSplits.dtype).toEqual('int32');\n  expect(output.rtNestedSplits.shape.length).toEqual(1);\n\n  expect(output.rtDenseValues.dtype).toEqual(starts.dtype);\n  expect(output.rtDenseValues.shape.length).toEqual(1);\n\n  return {\n    rtNestedSplits: await output.rtNestedSplits.data(),\n    rtDenseValues: await output.rtDenseValues.data(),\n    tensors: Object.values(output)\n  };\n}\n\ndescribeWithFlags('raggedRange ', ALL_ENVS, () => {\n  it('IntValues', async () => {\n    const result = await runRaggedGather(\n        tf.tensor1d([0, 5, 8, 5], 'int32'), tf.tensor1d([8, 7, 8, 1], 'int32'),\n        tf.tensor1d([2, 1, 1, -1], 'int32'));\n\n    // Expected: [[0, 2, 4, 6], [5, 6], [], [5, 4, 3, 2]]\n    expectArraysClose(result.rtNestedSplits, [0, 4, 6, 6, 10]);\n    expectArraysClose(result.rtDenseValues, [0, 2, 4, 6, 5, 6, 5, 4, 3, 2]);\n  });\n\n  it('FloatValues', async () => {\n    const result = await runRaggedGather(\n        tf.tensor1d([0, 5, 8, 5], 'float32'),\n        tf.tensor1d([8, 7, 8, 1], 'float32'),\n        tf.tensor1d([2, 1, 1, -1], 'float32'));\n\n    // Expected: [[0, 2, 4, 6], [5, 6], [], [5, 4, 3, 2]]\n    expectArraysClose(result.rtNestedSplits, [0, 4, 6, 6, 10]);\n    expectArraysClose(result.rtDenseValues, [0, 2, 4, 6, 5, 6, 5, 4, 3, 2]);\n  });\n\n  it('RangeSizeOverflow', async () => {\n    await expectAsync(runRaggedGather(\n                          tf.tensor1d([1.1, 0.1], 'float32'),\n                          tf.tensor1d([10, 1e10], 'float32'),\n                          tf.tensor1d([1, 1e-10], 'float32')))\n        .toBeRejectedWithError(\n            'Requires ((limit - start) / delta) <= 2147483647');\n  });\n\n  it('BroadcastDeltas', async () => {\n    const result = await runRaggedGather(\n        tf.tensor1d([0, 5, 8], 'int32'), tf.tensor1d([8, 7, 8], 'int32'),\n        tf.scalar(1, 'int32'));\n\n    // Expected: [[0, 1, 2, 3, 4, 5, 6, 7], [5, 6], []]\n    expectArraysClose(result.rtNestedSplits, [0, 8, 10, 10]);\n    expectArraysClose(result.rtDenseValues, [0, 1, 2, 3, 4, 5, 6, 7, 5, 6]);\n  });\n\n  it('BroadcastLimitsAndDeltas', async () => {\n    const result = await runRaggedGather(\n        tf.scalar(0, 'int32'), tf.tensor1d([3, 0, 2], 'int32'),\n        tf.scalar(1, 'int32'));\n\n    // Expected: [[0, 1, 2], [], [0, 1]]\n    expectArraysClose(result.rtNestedSplits, [0, 3, 3, 5]);\n    expectArraysClose(result.rtDenseValues, [0, 1, 2, 0, 1]);\n  });\n\n  it('BroadcastStartsAndLimits', async () => {\n    const result = await runRaggedGather(\n        tf.scalar(0, 'int32'), tf.scalar(12, 'int32'),\n        tf.tensor1d([3, 4, 5], 'int32'));\n\n    // Expected: [[0, 3, 6, 9], [0, 4, 8], [0, 5, 10]]\n    expectArraysClose(result.rtNestedSplits, [0, 4, 7, 10]);\n    expectArraysClose(result.rtDenseValues, [0, 3, 6, 9, 0, 4, 8, 0, 5, 10]);\n  });\n\n  it('AllScalarInputs', async () => {\n    const result = await runRaggedGather(\n        tf.scalar(0, 'int32'), tf.scalar(5, 'int32'), tf.scalar(1, 'int32'));\n\n    // Expected: [[0, 1, 2, 3, 4]]\n    expectArraysClose(result.rtNestedSplits, [0, 5]);\n    expectArraysClose(result.rtDenseValues, [0, 1, 2, 3, 4]);\n  });\n\n  it('InvalidArgsStarts', async () => {\n    await expectAsync(runRaggedGather(\n                          tf.tensor2d([0, 5, 8, 5], [4, 1], 'int32'),\n                          tf.tensor1d([8, 7, 8, 1], 'int32'),\n                          tf.tensor1d([2, 1, 1, -1], 'int32')))\n        .toBeRejectedWithError('starts must be a scalar or vector');\n  });\n\n  it('InvalidArgsLimits', async () => {\n    await expectAsync(runRaggedGather(\n                          tf.tensor1d([0, 5, 8, 5], 'int32'),\n                          tf.tensor2d([8, 7, 8, 1], [4, 1], 'int32'),\n                          tf.tensor1d([2, 1, 1, -1], 'int32')))\n        .toBeRejectedWithError('limits must be a scalar or vector');\n  });\n\n  it('InvalidArgsDeltas', async () => {\n    await expectAsync(runRaggedGather(\n                          tf.tensor1d([0, 5, 8, 5], 'int32'),\n                          tf.tensor1d([8, 7, 8, 1], 'int32'),\n                          tf.tensor2d([2, 1, 1, -1], [4, 1], 'int32')))\n        .toBeRejectedWithError('deltas must be a scalar or vector');\n  });\n\n  it('InvalidArgsShapeMismatch', async () => {\n    await expectAsync(runRaggedGather(\n                          tf.tensor1d([0, 5, 8, 5], 'int32'),\n                          tf.tensor1d([7, 8, 1], 'int32'),\n                          tf.tensor1d([2, 1, 1, -1], 'int32')))\n        .toBeRejectedWithError(\n            'starts, limits, and deltas must have the same shape');\n  });\n\n  it('InvalidArgsZeroDelta', async () => {\n    await expectAsync(runRaggedGather(\n                          tf.tensor1d([0, 5, 8, 5], 'int32'),\n                          tf.tensor1d([7, 8, 8, 1], 'int32'),\n                          tf.tensor1d([2, 1, 0, -1], 'int32')))\n        .toBeRejectedWithError('Requires delta != 0');\n  });\n\n  it('EmptyRangePositiveDelta', async () => {\n    const result = await runRaggedGather(\n        tf.tensor1d([0, 5], 'int32'), tf.tensor1d([5, 0], 'int32'),\n        tf.scalar(2, 'int32'));\n\n    // Expected: [[0, 2, 4], []]\n    expectArraysClose(result.rtNestedSplits, [0, 3, 3]);\n    expectArraysClose(result.rtDenseValues, [0, 2, 4]);\n  });\n\n  it('EmptyRangeNegativeDelta', async () => {\n    const result = await runRaggedGather(\n        tf.tensor1d([0, 5], 'int32'), tf.tensor1d([5, 0], 'int32'),\n        tf.scalar(-2, 'int32'));\n\n    // Expected: [[], [5, 3, 1]]\n    expectArraysClose(result.rtNestedSplits, [0, 0, 3]);\n    expectArraysClose(result.rtDenseValues, [5, 3, 1]);\n  });\n\n  it('does not have memory leak.', async () => {\n    const beforeDataIds = tf.engine().backend.numDataIds();\n\n    const starts = tf.tensor1d([0, 5, 8, 5], 'int32');\n    const limits = tf.tensor1d([8, 7, 8, 1], 'int32');\n    const deltas = tf.tensor1d([2, 1, 1, -1], 'int32');\n    const result = await runRaggedGather(starts, limits, deltas);\n\n    const afterResDataIds = tf.engine().backend.numDataIds();\n    expect(afterResDataIds).toEqual(beforeDataIds + 5);\n\n    tf.dispose([starts, limits, deltas]);\n    tf.dispose(result.tensors);\n\n    const afterDisposeDataIds = tf.engine().backend.numDataIds();\n    expect(afterDisposeDataIds).toEqual(beforeDataIds);\n  });\n});\n"]}
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