(args: {
inputs: SparseFillEmptyRowsInputs,
backend: MathBackendCPU
})
| 22 | import {sparseFillEmptyRowsImpl} from './SparseFillEmptyRows_impl'; |
| 23 | |
| 24 | export function sparseFillEmptyRows(args: { |
| 25 | inputs: SparseFillEmptyRowsInputs, |
| 26 | backend: MathBackendCPU |
| 27 | }): [TensorInfo, TensorInfo, TensorInfo, TensorInfo] { |
| 28 | const {inputs, backend} = args; |
| 29 | const {indices, values, denseShape, defaultValue} = inputs; |
| 30 | if (denseShape.shape.length !== 1) { |
| 31 | throw new Error(`Dense shape must be a vector, saw: |
| 32 | ${denseShape.shape}`); |
| 33 | } |
| 34 | if (indices.shape.length !== 2) { |
| 35 | throw new Error(`Indices must be a matrix, saw: |
| 36 | ${indices.shape}`); |
| 37 | } |
| 38 | if (values.shape.length !== 1) { |
| 39 | throw new Error(`Values must be a vector, saw: |
| 40 | ${values.shape}`); |
| 41 | } |
| 42 | if (defaultValue.shape.length !== 0) { |
| 43 | throw new Error(`Default value must be a scalar, saw: |
| 44 | ${defaultValue.shape}`); |
| 45 | } |
| 46 | |
| 47 | const $indices = backend.data.get(indices.dataId).values as TypedArray; |
| 48 | const $values = backend.data.get(values.dataId).values as TypedArray; |
| 49 | const $denseShape = backend.data.get(denseShape.dataId).values as TypedArray; |
| 50 | const $defaultValue = |
| 51 | backend.data.get(defaultValue.dataId).values[0] as number; |
| 52 | |
| 53 | const [outputIndices, outputIndicesShape, outputValues, |
| 54 | emptyRowIndicator, reverseIndexMap] = |
| 55 | sparseFillEmptyRowsImpl( |
| 56 | $indices, indices.shape, indices.dtype, $values, values.dtype, |
| 57 | $denseShape, $defaultValue); |
| 58 | return [ |
| 59 | backend.makeTensorInfo(outputIndicesShape, indices.dtype, outputIndices), |
| 60 | backend.makeTensorInfo( |
| 61 | [outputIndicesShape[0]], values.dtype, outputValues), |
| 62 | backend.makeTensorInfo( |
| 63 | [emptyRowIndicator.length], 'bool', |
| 64 | new Uint8Array( |
| 65 | emptyRowIndicator.map((value: boolean) => Number(value)))), |
| 66 | backend.makeTensorInfo( |
| 67 | [reverseIndexMap.length], indices.dtype, |
| 68 | new Int32Array(reverseIndexMap)), |
| 69 | ]; |
| 70 | } |
| 71 | |
| 72 | export const sparseFillEmptyRowsConfig: KernelConfig = { |
| 73 | kernelName: SparseFillEmptyRows, |
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