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Implement log operator #22

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Implement log operator #22

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5 changes: 5 additions & 0 deletions src/backend_webgl2compute.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -261,6 +261,11 @@ export class WebGL2ComputeBackend extends KernelBackend {
return this.compileAndRun(program, [x]) as T;
}

log<T extends Tensor>(x: T): T {
const program = new UnaryOpProgram(unary_op.LOG, x.shape);
return this.compileAndRun(program, [x]) as T;
}

resizeBilinear(
x: Tensor4D, newHeight: number, newWidth: number,
alignCorners: boolean): Tensor4D {
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2 changes: 2 additions & 0 deletions src/kernels/unary_op.ts
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Expand Up @@ -19,6 +19,8 @@ import {computeDispatch} from '../webgl2compute_util';
import {WebGL2ComputeProgram} from './webgl2compute_program';

export const RELU = 'return max(a, 0.0);';
// TODO(xinghua): Need to verify that x is greater than or equal to 0.
export const LOG = 'return log(a);';

export class UnaryOpProgram implements WebGL2ComputeProgram {
outputShape: number[];
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13 changes: 12 additions & 1 deletion src/setup_test.ts
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Expand Up @@ -40,6 +40,7 @@ const INCLUDE_LIST: string[] = [
'resizeBilinear',
'relu',
'pad',
'log',
];
/** Tests that have these substrings in their name will be excluded. */
const EXCLUDE_LIST: string[] = [
Expand Down Expand Up @@ -82,7 +83,17 @@ const EXCLUDE_LIST: string[] = [
'accepts tensor with bool values', // tensor with bool value is not yet
// implemented
'N > than parallelization threshold',
'grad', // pad grad, slice is not yet implemented.
'grad', // pad grad, slice is not yet implemented.
'logicalNot', // not yet implemented.
'logSumExp', // not yet implemented.
'logicalXor', // not yet implemented.
'logLoss', // not yet implemented.
'logSoftmax', // not yet implemented.
'log1p', // not yet implemented.
'logSigmoid', // not yet implemented.
'logicalOr', // not yet implemented.
'logicalAnd', // not yet implemented.
'downloadMatrixFromPackedOutputTexture', // readSync is not yet implemented.
];

/**
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