Searched refs:input_rhs (Results 1 – 5 of 5) sorted by relevance
/external/tensorflow/tensorflow/python/ops/risc/ |
D | risc_ops.py | 31 input_rhs, argument 33 return gen_risc_ops.risc_add(input_lhs, input_rhs, name=name) 102 def risc_div(input_lhs, input_rhs, name='RISC_DIV'): argument 103 return gen_risc_ops.risc_div(input_lhs, input_rhs, name=name) 107 input_rhs, argument 113 input_rhs, 170 def risc_max(input_lhs, input_rhs, name='RISC_MAX'): argument 171 return gen_risc_ops.risc_max(input_lhs, input_rhs, name=name) 174 def risc_min(input_lhs, input_rhs, name='RISC_MIN'): argument 175 return gen_risc_ops.risc_min(input_lhs, input_rhs, name=name) [all …]
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/external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
D | resolve_tensorflow_matmul.cc | 78 std::string input_rhs = matmul_op->inputs[1]; in Run() local 136 auto* transpose_op = FindTransposeOpWithInput(*model, input_rhs); in Run() 141 LogName(*matmul_op), input_rhs); in Run() 145 input_rhs, in Run() 147 model, AvailableArrayName(*model, input_rhs + "/transpose/perm"), in Run() 150 AvailableArrayName(*model, input_rhs + "/transpose")}; in Run() 154 DCHECK_EQ(transpose_op, FindTransposeOpWithInput(*model, input_rhs)); in Run() 160 LogName(*matmul_op), input_rhs); in Run() 163 input_rhs = transpose_op->outputs[0]; in Run() 168 fc_op->inputs = {input_lhs, input_rhs}; in Run() [all …]
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D | unroll_batch_matmul.cc | 146 std::string input_rhs = batch_op->inputs[1]; in Run() local 148 const auto& input_rhs_array = model->GetArray(input_rhs); in Run() 162 TransposeOperator* transpose_op = TransposeInput(input_rhs, model); in Run() 164 input_rhs = transpose_op->outputs[0]; in Run() 166 const auto& input_array_b = model->GetArray(input_rhs); in Run() 190 matmul_op->inputs = {input_lhs, input_rhs}; in Run() 206 SliceInput(input_rhs, base_name, "b", bcast.y_batch_size(), input_array_b, in Run()
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/external/tensorflow/tensorflow/compiler/mlir/tensorflow/transforms/ |
D | unroll_batch_matmul.cc | 193 Value input_rhs = op.y(); in matchAndRewrite() local 199 if (!input_rhs.getType().isa<RankedTensorType>()) { in matchAndRewrite() 205 auto rhs_type = input_rhs.getType().cast<RankedTensorType>(); in matchAndRewrite() 237 input_rhs = createTransposeOp(input_rhs, loc, rewriter); in matchAndRewrite() 239 rhs_type = input_rhs.getType().cast<RankedTensorType>(); in matchAndRewrite() 255 /*b=*/input_rhs, in matchAndRewrite() 288 sliceInput(input_rhs, bcast.y_batch_size(), loc, rewriter); in matchAndRewrite()
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D | batchmatmul_to_einsum.cc | 53 Value input_rhs = op.y(); in matchAndRewrite() local 57 auto rhs_type = input_rhs.getType().dyn_cast<RankedTensorType>(); in matchAndRewrite() 78 /*inputs=*/ValueRange({input_lhs, input_rhs}), in matchAndRewrite()
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