/third_party/mindspore/mindspore/core/ops/ |
D | affine.cc | 22 void Affine::Init(const std::vector<int64_t> &contexts, int64_t output_dim, bool transpose_a, bool … in Init() argument 24 this->set_output_dim(output_dim); in Init() 33 void Affine::set_output_dim(int64_t output_dim) { (void)this->AddAttr(kAffineOutputDim, MakeValue(o… in set_output_dim() argument
|
D | affine.h | 41 void Init(const std::vector<int64_t> &contexts, int64_t output_dim, bool transpose_a = false, 50 void set_output_dim(int64_t output_dim);
|
D | splice.cc | 37 void Splice::set_output_dim(int64_t output_dim) { (void)this->AddAttr(kSpliceOutputDims, MakeValue(… in set_output_dim() argument
|
D | splice.h | 58 void set_output_dim(int64_t output_dim);
|
/third_party/mindspore/mindspore/lite/micro/coder/opcoders/nnacl/int8/ |
D | concat_int8_coder.cc | 77 int output_dim = static_cast<int>(output_tensor_->shape().size()); in Prepare() local 78 concat_param_->output_shapes_ = reinterpret_cast<int *>(malloc(output_dim * sizeof(int))); in Prepare() 80 …MS_CHECK_RET_CODE(memcpy_s(reinterpret_cast<void *>(concat_param_->output_shapes_), output_dim * s… in Prepare() 81 output_tensor_->shape().data(), sizeof(int) * output_dim), in Prepare() 83 for (int i = axis_ + 1; i < output_dim; i++) { in Prepare()
|
/third_party/mindspore/mindspore/lite/tools/converter/parser/onnx/ |
D | onnx_splice_parser.cc | 32 int64_t output_dim = 0; in Parse() local 48 output_dim = static_cast<int>(onnx_node_attr.i()); in Parse() 54 primitive->Init(context, forward_indexes, output_dim); in Parse()
|
/third_party/mindspore/mindspore/lite/src/runtime/kernel/arm/int8/ |
D | concat_int8.cc | 103 size_t output_dim = out_shape.size(); in ReSize() local 104 MS_CHECK_FALSE_MSG(SIZE_MUL_OVERFLOW(output_dim, sizeof(int)), RET_ERROR, "mul overflow"); in ReSize() 105 concat_param_->output_shapes_ = reinterpret_cast<int *>(malloc(output_dim * sizeof(int))); in ReSize() 111 sizeof(int) * output_dim); in ReSize() 113 for (size_t i = static_cast<size_t>(concat_param_->axis_ + 1); i < output_dim; i++) { in ReSize()
|
D | leaky_relu_int8.cc | 98 size_t output_dim = output_shape.size(); in ReSize() local 103 quant_prelu_parm_.out_shape_ = reinterpret_cast<int *>(malloc(output_dim * sizeof(int))); in ReSize() 109 sizeof(int) * output_dim); in ReSize()
|
/third_party/mindspore/mindspore/lite/src/runtime/kernel/arm/fp32/ |
D | sparse_to_dense_fp32.cc | 58 int output_dim = static_cast<int>(output0->shape().size()); in ReSize() local 59 MS_CHECK_TRUE_MSG(output_dim <= DIMENSION_4D, RET_ERROR, "output_dim should <= 4"); in ReSize() 60 for (int i = 0; i < DIMENSION_4D - output_dim; i++) { in ReSize() 63 for (int i = 0; i < output_dim; i++) { in ReSize() 64 output_shape[i + DIMENSION_4D - output_dim] = output_shape_tmp[i]; in ReSize()
|
/third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/int8/ |
D | leaky_relu_int8.c | 27 int output_dim = quant_prelu_parm->input_dim_; in DoLeakReluInt8() local 31 for (int i = 0; i < output_dim; i++) { in DoLeakReluInt8()
|
/third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/host/ |
D | dynamic_broadcast_gradient_args_kernel.cc | 55 int output_dim = -1; in GetGradientIndices() local 65 if (!output_dim_set || reverse_shape[i][j] == static_cast<int64_t>(output_dim)) { in GetGradientIndices() 66 output_dim = LongToInt(reverse_shape[i][j]); in GetGradientIndices()
|
/third_party/mindspore/mindspore/explainer/benchmark/_attribution/ |
D | metric.py | 217 output_dim = explainer.network(inputs).shape[1] 218 if output_dim != self._num_labels:
|
/third_party/mindspore/tests/st/model_zoo_tests/wide_and_deep/python_file_for_ci/ |
D | wide_and_deep.py | 81 def __init__(self, input_dim, output_dim, weight_bias_init, act_str, argument 86 weight_init, [input_dim, output_dim], name="weight") 87 self.bias = init_method(bias_init, [output_dim], name="bias")
|
/third_party/mindspore/mindspore/lite/src/ops/populate/ |
D | affine_populate.cc | 83 affine_param->output_dim_ = value->output_dim(); in PopulateAffineParameter()
|
D | splice_populate.cc | 96 param->output_dim_ = value->output_dim(); in PopulateSpliceParameter()
|
/third_party/mindspore/tests/st/model_zoo_tests/DeepFM/src/ |
D | deepfm.py | 131 …def __init__(self, input_dim, output_dim, weight_bias_init, act_str, scale_coef=1.0, convert_dtype… argument 135 self.weight = init_method(weight_init, [input_dim, output_dim], name="weight") 136 self.bias = init_method(bias_init, [output_dim], name="bias")
|
/third_party/mindspore/mindspore/lite/schema/ |
D | ops.fbs | 1112 output_dim: long; 1197 output_dim: long;
|
D | ops_generated.h | 11526 int64_t output_dim() const { 11550 void add_output_dim(int64_t output_dim) { 11551 fbb_.AddElement<int64_t>(Splice::VT_OUTPUT_DIM, output_dim, 0); 11568 int64_t output_dim = 0) { 11570 builder_.add_output_dim(output_dim); 11580 int64_t output_dim = 0) { 11587 output_dim); 12540 int64_t output_dim() const { 12571 void add_output_dim(int64_t output_dim) { 12572 fbb_.AddElement<int64_t>(Affine::VT_OUTPUT_DIM, output_dim, 0); [all …]
|
/third_party/mindspore/mindspore/lite/src/ops/ |
D | ops_def.cc | 1112 OP_ATTR(output_dim, long) 1197 OP_ATTR(output_dim, long)
|
/third_party/mindspore/mindspore/lite/schema/inner/ |
D | ops_generated.h | 17481 int64_t output_dim = 0; 17507 int64_t output_dim() const { 17537 void add_output_dim(int64_t output_dim) { 17538 fbb_.AddElement<int64_t>(Splice::VT_OUTPUT_DIM, output_dim, 0); 17555 int64_t output_dim = 0) { 17557 builder_.add_output_dim(output_dim); 17567 int64_t output_dim = 0) { 17574 output_dim); 18851 int64_t output_dim = 0; 18876 int64_t output_dim() const { [all …]
|
/third_party/mindspore/third_party/proto/caffe/ |
D | caffe.proto | 1606 required int32 output_dim = 2; // output channel number field
|