/external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/ |
D | transpose_conv.h | 75 for (int out_channel = 0; out_channel < output_depth; in TransposeConv() local 76 ++out_channel) { in TransposeConv() 86 filter_data[Offset(filter_shape, out_channel, filter_y, in TransposeConv() 89 out_channel)] += in TransposeConv() 103 for (int out_channel = 0; out_channel < output_depth; ++out_channel) { in TransposeConv() local 105 out_channel)]; in TransposeConv() 107 acc += bias_data[out_channel]; in TransposeConv() 110 acc, output_multiplier[out_channel], output_shift[out_channel]); in TransposeConv() 114 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in TransposeConv() 172 for (int out_channel = 0; out_channel < output_depth; in TransposeConv() local [all …]
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D | conv.h | 69 for (int out_channel = 0; out_channel < output_depth; ++out_channel) { in ConvPerChannel() local 89 filter_shape, out_channel, filter_y, filter_x, in_channel)]; in ConvPerChannel() 112 acc += bias_data[out_channel]; in ConvPerChannel() 115 acc, output_multiplier[out_channel], output_shift[out_channel]); in ConvPerChannel() 119 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in ConvPerChannel() 172 for (int out_channel = 0; out_channel < output_depth; ++out_channel) { in ConvPerChannel() local 192 filter_shape, out_channel, filter_y, filter_x, in_channel)]; in ConvPerChannel() 204 acc += bias_data[out_channel]; in ConvPerChannel() 207 acc, output_multiplier[out_channel], output_shift[out_channel]); in ConvPerChannel() 210 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in ConvPerChannel()
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/external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
D | transpose_conv.h | 76 for (int out_channel = 0; out_channel < output_depth; in TransposeConv() local 77 ++out_channel) { in TransposeConv() 87 filter_data[Offset(filter_shape, out_channel, filter_y, in TransposeConv() 90 out_channel)] += in TransposeConv() 104 for (int out_channel = 0; out_channel < output_depth; ++out_channel) { in TransposeConv() local 106 out_channel)] += bias_data[out_channel]; in TransposeConv() 167 for (int out_channel = 0; out_channel < output_depth; in TransposeConv() local 168 ++out_channel) { in TransposeConv() 178 filter_data[Offset(filter_shape, out_channel, filter_y, in TransposeConv() 181 out_channel)] += in TransposeConv() [all …]
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D | conv.h | 62 for (int out_channel = 0; out_channel < output_depth; ++out_channel) { in Conv() local 82 filter_shape, out_channel, filter_y, filter_x, in_channel)]; in Conv() 89 bias_value = bias_data[out_channel]; in Conv() 91 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in Conv() 145 for (int out_channel = 0; out_channel < output_depth; ++out_channel) { in Conv() local 165 filter_shape, out_channel, filter_y, filter_x, in_channel)]; in Conv() 172 acc += bias_data[out_channel]; in Conv() 179 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in Conv() 223 for (int out_channel = 0; out_channel < output_depth; ++out_channel) { in HybridConvPerChannel() local 240 filter_data[Offset(filter_shape, out_channel, filter_y, in HybridConvPerChannel() [all …]
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D | conv3d.h | 61 for (int out_channel = 0; out_channel < output_num_channels; in Conv3D() local 62 ++out_channel) { in Conv3D() 89 filter_x, in_channel, out_channel)]; in Conv3D() 97 bias_value = bias_data[out_channel]; in Conv3D() 100 out_channel)] = in Conv3D()
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/external/tensorflow/tensorflow/lite/delegates/gpu/common/tasks/ |
D | concat_z.cc | 85 int out_channel = 0; in GetConcatKernelCode() local 98 c += " result" + postfix[out_channel] + " = "; in GetConcatKernelCode() 100 out_channel++; in GetConcatKernelCode() 101 if (out_channel == 4) { in GetConcatKernelCode() 102 out_channel = 0; in GetConcatKernelCode() 111 if (out_channel != 0) { in GetConcatKernelCode()
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/external/tensorflow/tensorflow/lite/micro/kernels/xtensa/ |
D | conv.cc | 76 for (int out_channel = 0; out_channel < output_depth; ++out_channel) { in ConvPerChannel() local 110 ((out_channel * filter_height + filter_y) * filter_width + in ConvPerChannel() 135 ae_q56s bias_56 = AE_CVTQ48A32S(bias_data[out_channel]); in ConvPerChannel() 148 acc_24x2, output_multiplier[out_channel] >> 8, in ConvPerChannel() 149 output_shift[out_channel]); in ConvPerChannel() 159 out_channel; in ConvPerChannel()
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/external/tensorflow/tensorflow/python/ops/ |
D | conv2d_benchmark.py | 189 dtype, data_format, in_channel, out_channel, hw_stride, padding = args 193 batch_size = out_channel 203 fshape = [fh, fw, in_channel, out_channel]
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/external/tensorflow/tensorflow/core/kernels/ |
D | conv_ops_using_gemm.cc | 134 for (int out_channel = 0; out_channel < filter_count; ++out_channel) { in operator ()() local 180 (in_channel * filter_count) + out_channel]; in operator ()() 187 (out_x * filter_count) + out_channel] = total; in operator ()()
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D | depthwise_conv_op_gpu.h | 109 const int out_channel = thread_id % out_depth; 114 const int in_channel = out_channel / depth_multiplier; 115 const int multiplier = out_channel % depth_multiplier; 364 const int out_channel = (thread_id / out_width / out_height) % out_depth; 370 const int in_channel = out_channel / depth_multiplier; 371 const int multiplier = out_channel % depth_multiplier; 919 UNROLL for (int out_channel = out_channel_start; 920 out_channel < out_channel_end; ++out_channel) { 924 const int filter_dm = out_channel - out_channel_start; 936 (out_channel * out_height * out_width) + (out_row * out_width) + [all …]
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D | quantized_conv_ops.cc | 109 for (int out_channel = 0; out_channel < filter_count; ++out_channel) { in operator ()() local 159 (in_channel * filter_count) + out_channel]; in operator ()() 178 (out_x * filter_count) + out_channel] = clamped_output; in operator ()()
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/external/llvm-project/llvm/bindings/ocaml/bitwriter/ |
D | llvm_bitwriter.mli | 36 val output_bitcode : ?unbuffered:bool -> out_channel -> Llvm.llmodule -> bool
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/external/llvm/bindings/ocaml/bitwriter/ |
D | llvm_bitwriter.mli | 37 val output_bitcode : ?unbuffered:bool -> out_channel -> Llvm.llmodule -> bool
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/external/tensorflow/tensorflow/compiler/mlir/tensorflow/transforms/ |
D | tpu_space_to_depth_pass.cc | 277 int64_t out_channel = filter_shape[3]; in HandleConv2DFilter() local 295 block_size, channel, out_channel}; in HandleConv2DFilter() 305 channel * block_size * block_size, out_channel}; in HandleConv2DFilter()
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