/third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/cpu/ |
D | elu_grad_cpu_kernel.cc | 33 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 34 if (dtype_ != AnfAlgo::GetInputDeviceDataType(kernel_node, 1)) { in InitKernel() 43 if (dtype_ == kNumberTypeFloat32 || dtype_ == kNumberTypeFloat) { in Launch() 45 } else if (dtype_ == kNumberTypeFloat16) { in Launch() 48 MS_LOG(EXCEPTION) << "Data type is " << TypeIdLabel(dtype_) << "is not support."; in Launch()
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D | unique_with_pad_cpu_kernel.cc | 32 if (dtype_ == kNumberTypeInt32) { in Launch() 35 } else if (dtype_ == kNumberTypeInt64) { in Launch() 38 } else if (dtype_ == kNumberTypeFloat32 || dtype_ == kNumberTypeFloat16) { in Launch() 42 MS_LOG(EXCEPTION) << "Unsupported input data type: " << dtype_; in Launch()
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D | resize_nearest_neighbor_grad_cpu_kernel.cc | 36 dtype_ = AnfAlgo::GetPrevNodeOutputInferDataType(kernel_node, 0); in InitKernel() 63 if (dtype_ == kNumberTypeFloat16) { in Launch() 65 } else if (dtype_ == kNumberTypeFloat32) { in Launch() 67 } else if (dtype_ == kNumberTypeFloat64) { in Launch() 69 } else if (dtype_ == kNumberTypeInt32) { in Launch() 71 } else if (dtype_ == kNumberTypeInt64) { in Launch() 74 MS_LOG(EXCEPTION) << "Unsupported input data type: " << dtype_; in Launch()
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D | resize_nearest_neighbor_cpu_kernel.cc | 36 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 62 if (dtype_ == kNumberTypeFloat16) { in Launch() 64 } else if (dtype_ == kNumberTypeFloat32) { in Launch() 66 } else if (dtype_ == kNumberTypeFloat64) { in Launch() 68 } else if (dtype_ == kNumberTypeInt32) { in Launch() 70 } else if (dtype_ == kNumberTypeInt64) { in Launch() 73 MS_LOG(EXCEPTION) << "Unsupported input data type: " << dtype_; in Launch()
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D | cumsum_cpu_kernel.cc | 34 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 59 if (dtype_ == kNumberTypeFloat32) { in InitInputOutputSize() 61 } else if (dtype_ == kNumberTypeFloat16) { in InitInputOutputSize() 63 } else if (dtype_ == kNumberTypeInt32) { in InitInputOutputSize() 65 } else if (dtype_ == kNumberTypeInt8) { in InitInputOutputSize() 67 } else if (dtype_ == kNumberTypeUInt8) { in InitInputOutputSize() 71 << TypeIdToType(dtype_)->ToString(); in InitInputOutputSize() 81 if (dtype_ == kNumberTypeFloat32) { in Launch() 83 } else if (dtype_ == kNumberTypeFloat16) { in Launch() 85 } else if (dtype_ == kNumberTypeInt32) { in Launch() [all …]
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D | sigmoid_cross_entropy_with_logits_grad_cpu_kernel.cc | 30 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 42 if (dtype_ == kNumberTypeFloat16) { in Launch() 44 } else if (dtype_ == kNumberTypeFloat32 || dtype_ == kNumberTypeFloat64) { in Launch() 47 MS_LOG(EXCEPTION) << "Unsupported input data type: " << dtype_; in Launch()
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D | sigmoid_cross_entropy_with_logits_cpu_kernel.cc | 30 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 40 if (dtype_ == kNumberTypeFloat16) { in Launch() 42 } else if (dtype_ == kNumberTypeFloat32 || dtype_ == kNumberTypeFloat64) { in Launch() 45 MS_LOG(EXCEPTION) << "Unsupported input data type: " << dtype_; in Launch()
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D | unique_cpu_kernel.cc | 31 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 47 if (dtype_ == kNumberTypeInt32) { in Launch() 49 } else if (dtype_ == kNumberTypeInt64) { in Launch() 51 } else if (dtype_ == kNumberTypeFloat32 || dtype_ == kNumberTypeFloat16) { in Launch() 54 MS_LOG(EXCEPTION) << "Unsupported input data type: " << dtype_; in Launch()
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D | pad_cpu_kernel.cc | 31 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 67 if (dtype_ == kNumberTypeFloat16) { in Launch() 69 } else if (dtype_ == kNumberTypeFloat32) { in Launch() 71 } else if (dtype_ == kNumberTypeFloat64) { in Launch() 73 } else if (dtype_ == kNumberTypeInt32) { in Launch() 76 MS_LOG(EXCEPTION) << "Data type is " << TypeIdLabel(dtype_) << " which is not supported."; in Launch()
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D | resize_bilinear_cpu_kernel.cc | 36 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 57 if (dtype_ == kNumberTypeFloat16) { in Launch() 59 } else if (dtype_ == kNumberTypeFloat32) { in Launch() 62 MS_LOG(EXCEPTION) << "Unsupported input data type: " << dtype_; in Launch() 73 if (dtype_ == kNumberTypeFloat16) { in LaunchKernel() 92 } else if (dtype_ == kNumberTypeFloat32) { in LaunchKernel() 146 if (dtype_ == kNumberTypeFloat16) { in LaunchKernel()
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D | unsorted_segment_sum_cpu_kernel.cc | 31 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 65 if (dtype_ == kNumberTypeInt32 && segment_ids_dtype_ == kNumberTypeInt32) { in Launch() 69 } else if (dtype_ == kNumberTypeFloat32 && segment_ids_dtype_ == kNumberTypeInt32) { in Launch() 73 } else if (dtype_ == kNumberTypeInt32 && segment_ids_dtype_ == kNumberTypeInt64) { in Launch() 77 } else if (dtype_ == kNumberTypeFloat32 && segment_ids_dtype_ == kNumberTypeInt64) { in Launch()
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D | maximum_grad_cpu_kernel.cc | 43 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 54 if (dtype_ == kNumberTypeInt32) { in Launch() 56 } else if (dtype_ == kNumberTypeUInt32) { in Launch() 58 } else if (dtype_ == kNumberTypeFloat32) { in Launch() 60 } else if (dtype_ == kNumberTypeInt64) { in Launch() 62 } else if (dtype_ == kNumberTypeUInt64) { in Launch() 64 } else if (dtype_ == kNumberTypeFloat64) { in Launch() 66 } else if (dtype_ == kNumberTypeFloat16) { in Launch()
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D | range_cpu_kernel.cc | 30 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 37 if (dtype_ == kNumberTypeInt32) { in Launch() 39 } else if (dtype_ == kNumberTypeFloat32) { in Launch() 42 MS_LOG(EXCEPTION) << "Only support int, float, but actual data type is " << TypeIdLabel(dtype_); in Launch()
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D | resize_bilinear_grad_cpu_kernel.cc | 36 dtype_ = AnfAlgo::GetPrevNodeOutputInferDataType(kernel_node, 0); in InitKernel() 59 if (dtype_ == kNumberTypeFloat16) { in Launch() 61 } else if (dtype_ == kNumberTypeFloat32) { in Launch() 64 MS_LOG(EXCEPTION) << "Unsupported input data type: " << dtype_; in Launch() 79 if (dtype_ == kNumberTypeFloat16) { in LaunchKernel() 105 } else if (dtype_ == kNumberTypeFloat32) { in LaunchKernel() 162 if (dtype_ == kNumberTypeFloat16) { in LaunchKernel()
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D | dropout_grad_kernel.cc | 44 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 53 if (dtype_ == kNumberTypeFloat16) { in InitInputOutputSize() 64 if (dtype_ == kNumberTypeFloat16) { in Launch() 66 } else if (dtype_ == kNumberTypeFloat32) { in Launch() 70 << TypeIdToType(dtype_)->ToString(); in Launch()
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D | minimum_grad_cpu_kernel.cc | 71 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 82 if (dtype_ == kNumberTypeInt32) { in Launch() 84 } else if (dtype_ == kNumberTypeUInt32) { in Launch() 86 } else if (dtype_ == kNumberTypeFloat32) { in Launch() 88 } else if (dtype_ == kNumberTypeInt64) { in Launch() 90 } else if (dtype_ == kNumberTypeUInt64) { in Launch() 92 } else if (dtype_ == kNumberTypeFloat64) { in Launch()
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D | dropout_cpu_kernel.cc | 41 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 51 if (dtype_ == kNumberTypeFloat16) { in Launch() 53 } else if (dtype_ == kNumberTypeFloat32) { in Launch() 57 << TypeIdToType(dtype_)->ToString(); in Launch()
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D | mirror_pad_grad_cpu_kernel.cc | 59 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 127 if (dtype_ == kNumberTypeFloat16) { in Launch() 129 } else if (dtype_ == kNumberTypeFloat32) { in Launch() 131 } else if (dtype_ == kNumberTypeFloat64) { in Launch() 133 } else if (dtype_ == kNumberTypeInt32) { in Launch() 136 MS_LOG(EXCEPTION) << "Data type is " << TypeIdLabel(dtype_) << " which is not supported."; in Launch() 149 if (dtype_ == kNumberTypeFloat16) { in InitInputOutputSize() 151 } else if (dtype_ == kNumberTypeFloat32) { in InitInputOutputSize() 153 } else if (dtype_ == kNumberTypeFloat64) { in InitInputOutputSize() 155 } else if (dtype_ == kNumberTypeInt32) { in InitInputOutputSize()
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D | apply_adagrad_cpu_kernel.cc | 35 dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0); in InitKernel() 41 if (dtype_ == kNumberTypeFloat16) { in Launch() 43 } else if (dtype_ == kNumberTypeFloat32) { in Launch() 47 << TypeIdToType(dtype_)->ToString(); in Launch()
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/third_party/mindspore/mindspore/ccsrc/minddata/dataset/kernels/ir/vision/ |
D | normalize_pad_ir.cc | 33 : mean_(mean), std_(std), dtype_(dtype) {} in NormalizePadOperation() 41 if (dtype_ != "float32" && dtype_ != "float16") { in ValidateParams() 42 std::string err_msg = "NormalizePad: dtype must be float32 or float16, but got: " + dtype_; in ValidateParams() 54 … std_[dimension_zero], std_[dimension_one], std_[dimension_two], dtype_); in Build() 61 args["dtype"] = dtype_; in to_json()
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/third_party/mindspore/mindspore/ccsrc/runtime/device/ |
D | launch_mul.cc | 24 std::vector<TypeId> input_dtypes = {dtype_, dtype_}; in ObtainMulKernelGraph() 25 std::vector<TypeId> output_dtypes = {dtype_}; in ObtainMulKernelGraph() 27 size_t dtype_size = abstract::TypeIdSize(dtype_); in ObtainMulKernelGraph() 68 auto size = abstract::TypeIdSize(dtype_); in ObtainMulInputsAddr()
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/third_party/boost/boost/python/numpy/ |
D | invoke_matching.hpp | 49 dtype_template_invoker(dtype const & dtype_, Function func) in dtype_template_invoker() 50 : m_dtype(dtype_), m_func(func) {} in dtype_template_invoker() 71 dtype_template_invoker(dtype const & dtype_, Function & func) in dtype_template_invoker() 72 : m_dtype(dtype_), m_func(func) {} in dtype_template_invoker() 132 void invoke_matching_dtype(dtype const & dtype_, Function f) in invoke_matching_dtype() argument 134 detail::dtype_template_invoker<Function> invoker(dtype_, f); in invoke_matching_dtype()
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/third_party/mindspore/mindspore/ccsrc/debug/debugger/offline_debug/ |
D | dbg_services.h | 124 : data_size_(data_size), dtype_(dtype), shape_(shape) {} in TensorBaseData() 127 const int dtype() const { return dtype_; } in dtype() 130 int dtype_; member 139 dtype_(dtype), in TensorStatData() 154 const int dtype() const { return dtype_; } in dtype() 169 int dtype_; member
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/third_party/mindspore/mindspore/lite/src/runtime/kernel/arm/control/ |
D | tensorlist_fromtensor.cc | 77 dtype_ = in_tensors_[0]->data_type(); in Run() 97 auto data_offset = devision_dim0 * lite::DataTypeSize(dtype_); in Run() 112 out_ptr->set_data_type(dtype_); in Run() 116 output0->set_tensors_data_type(dtype_); in Run()
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/third_party/mindspore/mindspore/ccsrc/runtime/device/ascend/ |
D | ascend_launch_transdata.cc | 80 std::vector<TypeId> input_dtypes = {dtype_}; in ObtainTransDataKernelGraph() 81 std::vector<TypeId> output_dtypes = {dtype_}; in ObtainTransDataKernelGraph() 101 AnfAlgo::SetOutputInferTypeAndShape({dtype_}, {shape_}, transdata_node.get()); in ConstructKernelGraphAndSetAttr() 105 std::vector<TypeId> device_type = {dtype_}; in ConstructKernelGraphAndSetAttr()
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