| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| D | resolve_constant_range.cc | 109 CountOpsWithInput(*model, op->inputs[0]) == 1) { in Run()
113 CountOpsWithInput(*model, op->inputs[1]) == 1) { in Run()
117 CountOpsWithInput(*model, op->inputs[2]) == 1) { in Run()
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| D | resolve_tensorflow_matmul.cc | 171 if (CountOpsWithInput(*model, previous_op_output) == 1) { in Run()
177 if (CountOpsWithInput(*model, previous_op_output) == 1) { in Run()
179 if (CountOpsWithInput(*model, previous_op_shape) == 1 && in Run()
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| D | remove_unused_op.cc | 71 CountOpsWithInput(*model, rnn_state.state_array())) { in Run()
76 if (CountOpsWithInput(*model, output)) { in Run()
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| D | reorder_reshape_transpose.cc | 146 if (CountOpsWithInput(*model, intermediate_name) != 1) { in Run()
210 if (CountOpsWithInput(*model, transpose_op->inputs[1]) != 1) { in Run()
228 if (CountOpsWithInput(*model, reshape_op->inputs[1]) != 1) { in Run()
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| D | fuse_binary_into_preceding_affine.cc | 296 const int count_ops_consuming_bias = CountOpsWithInput(*model, bias_name); in Run()
298 CountOpsWithInput(*model, weights_name); in Run()
334 CountOpsWithInput(*model, preceding_op->outputs[0]); in Run()
366 if (CountOpsWithInput(*model, old_constant_param_name) == 1) { in Run()
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| D | resolve_constant_fill.cc | 114 CountOpsWithInput(*model, op->inputs[0]) == 1) { in Run()
118 CountOpsWithInput(*model, op->inputs[1]) == 1) { in Run()
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| D | resolve_squeeze_attributes.cc | 40 if (CountOpsWithInput(*model, squeeze_op->outputs[0]) == 1) { in Run()
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| D | remove_tensorflow_assert.cc | 49 CHECK(!CountOpsWithInput(*model, assert_op->outputs[0])); in Run()
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| D | remove_final_dequantize_op.cc | 43 if (CountOpsWithInput(*model, output)) { in Run()
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| D | drop_fake_quant.cc | 49 if (CountOpsWithInput(*model, fakequant_op->inputs[i]) == 1) { in Run()
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| D | remove_trivial_concatenation_input.cc | 64 CountOpsWithInput(*model, input) == 1) { in Run()
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| D | resolve_constant_shape_or_rank.cc | 66 CountOpsWithInput(*model, op->inputs[0]) == 1) { in Run()
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| D | remove_trivial_reshape.cc | 59 if (CountOpsWithInput(model, op.outputs[0]) == 1) { in IsReshapeTrivial()
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| D | fuse_binary_into_following_affine.cc | 221 if (CountOpsWithInput(*model, binary_op->outputs[0]) != 1) { in Run()
302 if (CountOpsWithInput(*model, old_constant_param_name) == 1) { in Run()
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| D | make_initial_dequantize_operator.cc | 49 if (CountOpsWithInput(*model, input_name) > 1) { in AddDequantizeOperatorToInput()
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| D | convert_trivial_tile_to_concat.cc | 84 CountOpsWithInput(*model, tile_op->inputs[1]) == 1) { in Run()
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| D | resolve_tensorflow_concat.cc | 80 if (CountOpsWithInput(*model, axis_name) == 1) { in Run()
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| D | convert_expanddims_to_reshape.cc | 85 CountOpsWithInput(*model, axis_array_name) == 1 && in Run()
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| D | resolve_tensorflow_switch.cc | 117 if (CountOpsWithInput(*model, input) == 1 && in Run()
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| D | fuse_activation_functions.cc | 56 int count_ops_consuming_output = CountOpsWithInput(*model, ac_op->inputs[0]); in Run()
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| D | resolve_constant_binary.cc | 250 if (CountOpsWithInput(*model, binary_op->inputs[0]) == 1) { in Run()
253 if (CountOpsWithInput(*model, binary_op->inputs[1]) == 1) { in Run()
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| D | convert_trivial_transpose_to_reshape.cc | 105 CountOpsWithInput(*model, perm_array_name) == 1) { in Run()
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| D | resolve_constant_reshape.cc | 114 CountOpsWithInput(*model, input) == 1) { in Run()
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| D | convert_pure_conv_to_depthwise.cc | 56 if (CountOpsWithInput(*model, weights_name) > 1) { in Run()
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| D | reorder_elementwise_unary.cc | 90 if (CountOpsWithInput(*model, intermediate_name) != 1) { in Run()
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