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Define graph execution methods used in different threading models. #255

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Define graph execution methods used in different threading models. #255

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222697f
Define graph execution methods used in different threading models.
wchao1115 Feb 26, 2022
078ff38
Fix over-aggressive find/replace edits.
wchao1115 Mar 3, 2022
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9 changes: 7 additions & 2 deletions explainer.md
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Original file line number Diff line number Diff line change
Expand Up @@ -41,13 +41,15 @@ const B = builder.input('B', operandType);
const C = builder.add(builder.mul(A, constant), B);
// 2. Compile it into an executable.
const graph = builder.build({'C': C});
// 3. Create an execution method
const execution = new MLExecution(context);
// 3. Bind inputs to the graph and execute for the result.
const bufferA = new Float32Array(4).fill(1.0);
const bufferB = new Float32Array(4).fill(0.8);
const bufferC = new Float32Array(4);
const inputs = {'A': bufferA, 'B': bufferB};
const outputs = {'C': bufferC};
graph.compute(inputs, outputs);
execution.compute(graph, inputs, outputs);
// The computed result of [[1, 1], [1, 1]] is in the buffer associated with
// the output operand.
console.log('Output value: ' + bufferC);
Expand Down Expand Up @@ -99,6 +101,7 @@ There are many important [application use cases](https://webmachinelearning.gith
export class NSNet2 {
constructor() {
this.graph = null;
this.execution = null;
this.frameSize = 161;
this.hiddenSize = 400;
}
Expand Down Expand Up @@ -140,6 +143,8 @@ export class NSNet2 {
const relu167 = builder.relu(builder.add(builder.matmul(relu163, weight216), biasFcOut2));
const output = builder.sigmoid(builder.add(builder.matmul(relu167, weight217), biasFcOut4));
this.graph = builder.build({'output': output, 'gru94': gru94, 'gru157': gru157});
// Create graph execution method
this.execution = new MLExecution(context);
}

compute(inputBuffer, initialState92Buffer, initialState155Buffer, outputBuffer, gru94Buffer, gru157Buffer) {
Expand All @@ -153,7 +158,7 @@ export class NSNet2 {
'gru94': gru94Buffer,
'gru157': gru157Buffer
};
return this.graph.compute(inputs, outputs);
return this.execution.compute(graph, inputs, outputs);
}
}
```
Expand Down