@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
;
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* 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.
* =============================================================================
*/
Object.defineProperty(exports, "__esModule", { value: true });
var Transpose_impl_1 = require("../../../backends/cpu/kernels/Transpose_impl");
var kernel_names_1 = require("../../../kernel_names");
var Transpose_impl_2 = require("./Transpose_impl");
exports.transposeConfig = {
kernelName: kernel_names_1.Transpose,
backendName: 'webgl',
kernelFunc: function (_a) {
var inputs = _a.inputs, attrs = _a.attrs, backend = _a.backend;
var x = inputs.x;
var perm = attrs.perm;
var webglBackend = backend;
var xRank = x.shape.length;
var newShape = new Array(xRank);
for (var i = 0; i < newShape.length; i++) {
newShape[i] = x.shape[perm[i]];
}
var out;
if (webglBackend.shouldExecuteOnCPU([x])) {
var xTexData = webglBackend.texData.get(x.dataId);
var values = xTexData.values;
var outValues = Transpose_impl_1.transposeImpl(values, x.shape, x.dtype, perm, newShape);
out = webglBackend.makeTensorInfo(newShape, x.dtype);
var outData = webglBackend.texData.get(out.dataId);
outData.values = outValues;
}
else {
out = Transpose_impl_2.transposeImpl(x, perm, webglBackend);
}
return out;
}
};
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