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Searched refs:getOutput (Results 1 – 25 of 41) sorted by relevance

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/third_party/typescript/src/testRunner/unittests/tsserver/
DcancellationToken.ts88 assert.equal(host.getOutput().length, 0, "expected 0 message");
91 assert.equal(host.getOutput().length, 1, "expect 1 message");
102 assert.equal(host.getOutput().length, 0, "expect 0 messages");
115 assert.equal(host.getOutput().length, 1, "expect 1 message");
126 assert.equal(host.getOutput().length, 0, "expect 0 messages");
130 assert.equal(host.getOutput().length, 1, "expect 1 message");
137 assert.equal(host.getOutput().length, 1, "expect 1 message");
148 assert.equal(host.getOutput().length, 0, "expect 0 messages");
152 assert.equal(host.getOutput().length, 1, "expect 1 message");
159 assert.equal(host.getOutput().length, 1);
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/third_party/mindspore/mindspore/ccsrc/backend/optimizer/trt_pass/
Dtrt_op_converter.cc48 return layer->getOutput(0); in ToShape()
62 return const_layer->getOutput(0); in ToTensor()
79 return {true, {layer->getOutput(0)}}; in AddReshapeLayer()
117 return layer->getOutput(0); in AddElementLayer()
125 return {true, {layer->getOutput(0)}}; in AddElementLayer()
157 return {true, {layer->getOutput(0)}}; in AddPoolingLayer()
172 return {true, {layer->getOutput(0)}}; in AddActivationLayer()
187 return {true, {layer->getOutput(0)}}; in AddUnaryLayer()
235 nvinfer1::IShuffleLayer *reshape_layer = context->network()->addShuffle(*layer->getOutput(0)); in AddReduceLayer()
243 return {true, {reshape_layer->getOutput(0)}}; in AddReduceLayer()
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/third_party/mindspore/mindspore/lite/src/delegate/tensorrt/op/
Dreduce_tensorrt.cc72 shuffler_input = transpose_layer->getOutput(0); in AddInnerOp()
94 reduce_input = unsqueeze_layer->getOutput(0); in AddInnerOp()
106 nvinfer1::ITensor *out_tensor = layer->getOutput(0); in AddInnerOp()
109 nvinfer1::IShuffleLayer *squeeze_layer = network->addShuffle(*layer->getOutput(0)); in AddInnerOp()
117 out_tensor = squeeze_layer->getOutput(0); in AddInnerOp()
Dmatmul_tensorrt.cc62 matmul_input = transpose_layer_in->getOutput(0); in AddInnerOp()
68 nvinfer1::ITensor *out_tensor = matmul_layer->getOutput(0); in AddInnerOp()
72 …auto bias_layer = network->addElementWise(*matmul_layer->getOutput(0), *bias, nvinfer1::ElementWis… in AddInnerOp()
75 out_tensor = bias_layer->getOutput(0); in AddInnerOp()
Dscale_tensorrt.cc115 nvinfer1::ITensor *activation_tensor = cal_layer->getOutput(0); in AddInnerOp()
117 …on_layer = ActivationTensorRT::AddActivation(network, activation_type, 0, cal_layer->getOutput(0)); in AddInnerOp()
123 activation_tensor = activation_layer->getOutput(0); in AddInnerOp()
156 scale_in_tensor = transpose_layer_in->getOutput(0); in PreProcessInputTensor()
167 scale_in_tensor = transpose_layer_in->getOutput(0); in PreProcessInputTensor()
209 return unsqueeze_layer->getOutput(0); in AddUnsqueezeOp()
222 return squeeze_layer->getOutput(0); in AddSqueezeOp()
Dpool_tensorrt.cc67 pool_input = transpose_layer_in->getOutput(0); in AddInnerOp()
85 …yer = ActivationTensorRT::AddActivation(network, activation_type_, 0, pooling_layer->getOutput(0)); in AddInnerOp()
92 activation_layer->getOutput(0)->setName((op_name_ + "_output").c_str()); in AddInnerOp()
93 this->AddInnerOutTensors(ITensorHelper{activation_layer->getOutput(0), Format::NCHW}); in AddInnerOp()
94 MS_LOG(DEBUG) << "output " << GetTensorFormat(activation_layer->getOutput(0), Format::NCHW); in AddInnerOp()
Dgather_tensorrt.cc87 gather_input = transpose_layer_in->getOutput(0); in AddInnerOp()
98 gather_layer->getOutput(0)->setName((op_name_ + "_output").c_str()); in AddInnerOp()
99 this->AddInnerOutTensors(ITensorHelper{gather_layer->getOutput(0), out_format}); in AddInnerOp()
Dconvolution_tensorrt.cc66 conv_input = transpose_layer_in->getOutput(0); in AddInnerOp()
115 …ctivationTensorRT::AddActivation(network, conv_op->activation_type(), 0, conv_layer->getOutput(0)); in AddInnerOp()
122 activation_layer->getOutput(0)->setName((op_name_ + "_output").c_str()); in AddInnerOp()
123 this->AddInnerOutTensors(ITensorHelper{activation_layer->getOutput(0), Format::NCHW}); in AddInnerOp()
Dconcate_tensorrt.cc78 trt_input_tensors[transpose_tensor_index] = transpose_layer->getOutput(0); in AddInnerOp()
105 concate_layer->getOutput(0)->setName((op_name_ + "_output").c_str()); in AddInnerOp()
106 this->AddInnerOutTensors(ITensorHelper{concate_layer->getOutput(0), out_format}); in AddInnerOp()
Dpad_tensorrt.cc79 pad_input = transpose_layer_in->getOutput(0); in AddInnerOp()
108 padding_layer->getOutput(0)->setName((op_name_ + "_output").c_str()); in AddInnerOp()
109 this->AddInnerOutTensors(ITensorHelper{padding_layer->getOutput(0), Format::NCHW}); in AddInnerOp()
Ddeconvolution_tensorrt.cc63 deconv_input = transpose_layer_in->getOutput(0); in AddInnerOp()
112 …ationTensorRT::AddActivation(network, deconv_op->activation_type(), 0, deconv_layer->getOutput(0)); in AddInnerOp()
119 activation_layer->getOutput(0)->setName((op_name_ + "_output").c_str()); in AddInnerOp()
120 this->AddInnerOutTensors(ITensorHelper{activation_layer->getOutput(0), Format::NCHW}); in AddInnerOp()
Dresize_tensorrt.cc54 resize_in_tensor = transpose_layer->getOutput(0); in AddInnerOp()
75 resize_layer->getOutput(0)->setName((op_name_ + "_output").c_str()); in AddInnerOp()
76 this->AddInnerOutTensors(ITensorHelper{resize_layer->getOutput(0), Format::NHWC}); in AddInnerOp()
77 MS_LOG(DEBUG) << "output " << GetTensorFormat(resize_layer->getOutput(0), Format::NHWC); in AddInnerOp()
Dshape_tensorrt.cc48 shape_layer->getOutput(0)->setName((op_name_ + "_output").c_str()); in AddInnerOp()
49 …this->AddInnerOutTensors(ITensorHelper{shape_layer->getOutput(0), tensorrt_in_tensors_[0].format_}… in AddInnerOp()
Dshuffle_tensorrt.cc86 shuffler_input = transpose_layer->getOutput(0); in AddInnerOp()
94 shuffler_input = transpose_layer->getOutput(0); in AddInnerOp()
143 nvinfer1::ITensor *out_tensor = shuffle_layer->getOutput(0); in AddInnerOp()
182 return shuffle_layer->getOutput(0) == nullptr ? RET_ERROR : RET_OK; in AddSqueezeOp()
207 return shuffle_layer->getOutput(0) == nullptr ? RET_ERROR : RET_OK; in AddUnsqueezeOp()
Dactivation_tensorrt.cc68 activation_layer->getOutput(0)->setName((op_name_ + "_output").c_str()); in AddInnerOp()
69 …this->AddInnerOutTensors(ITensorHelper{activation_layer->getOutput(0), tensorrt_in_tensors_[0].for… in AddInnerOp()
Dslice_tensorrt.cc67 slice_input = transpose_layer_in->getOutput(0); in AddInnerOp()
77 nvinfer1::ITensor *out_tensor = slice_layer->getOutput(0); in AddInnerOp()
Dunary_tensorrt.cc54 nvinfer1::ITensor *op_out_tensor = cal_layer->getOutput(0); in AddInnerOp()
Delementwise_tensorrt.cc111 tensorrt_in_tensors_[transpose_input_tensor].trt_tensor_ = transpose_layer->getOutput(0); in AddInnerOp()
134 nvinfer1::ITensor *op_out_tensor = cal_layer->getOutput(0); in AddInnerOp()
/third_party/node/test/common/
Ddebugger.js29 function getOutput() { function
60 if (checkPattern(getOutput())) {
133 return getOutput();
141 return getOutput().split('\n')
/third_party/skia/third_party/externals/swiftshader/src/Shader/
DVertexShader.hpp51 const Semantic& getOutput(int outputIdx, int component) const;
/third_party/typescript/src/harness/
DcompilerImpl.ts180 … public getOutput(path: string, kind: "js" | "dts" | "map"): documents.TextDocument | undefined {
195 const document = this.getOutput(path, "js");
199 const document = this.getOutput(path, "map");
DvirtualFileSystemWithWatch.ts265 for (const f of host.getOutput()) {
266 … assert.isFalse(mapSeen.has(f), `Already found ${f} in ${JSON.stringify(host.getOutput())}`);
272 … missing ${JSON.stringify(arrayFrom(mapExpected.keys()))} in ${JSON.stringify(host.getOutput())}`);
277 for (const f of host.getOutput()) {
278 …sert.isFalse(mapExpectedToBeAbsent.has(f), `Contains ${f} in ${JSON.stringify(host.getOutput())}`);
1044 getOutput(): readonly string[] {
1054 const output = this.getOutput();
DevaluatorImpl.ts45 const output = result.getOutput(sourceFile, "js")!;
/third_party/mindspore/mindspore/lite/src/delegate/tensorrt/
Dtensorrt_utils.cc131 return constant_tensor->getOutput(0); in ConvertConstantTensor()
143 return constant_tensor->getOutput(0); in ConvertScalarToITensor()
200 return constant_tensor->getOutput(0); in ConvertTensorWithExpandDims()
/third_party/jsframework/runtime/main/extend/systemplugin/napi/
Dohos_process.js133 getOutput: function (...args) { method

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