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Searched refs:avgpool (Results 1 – 14 of 14) sorted by relevance

/external/XNNPACK/test/
Daverage-pooling-nhwc.cc19 for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { in TEST()
35 for (size_t pool_size = 3; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { in TEST()
57 for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { in TEST()
74 for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { in TEST()
90 for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { in TEST()
112 for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { in TEST()
129 for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { in TEST()
155 for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { in TEST()
181 for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { in TEST()
209 for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { in TEST()
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Davgpool-microkernel-tester.h215 void Test(xnn_q8_avgpool_up_ukernel_function avgpool, Variant variant = Variant::Native) const {
275 avgpool(n(), ks(), kc(),
301 void Test(xnn_q8_avgpool_mp_ukernel_function avgpool, Variant variant = Variant::Native) const {
362 avgpool(n(), ks(), kc(),
388 void Test(xnn_f32_avgpool_up_ukernel_function avgpool, Variant variant = Variant::Native) const {
445 avgpool(n(), ks(), kc(),
466 void Test(xnn_f32_avgpool_mp_ukernel_function avgpool, Variant variant = Variant::Native) const {
524 avgpool(n(), ks(), kc(),
/external/XNNPACK/src/
Daverage-pooling-nhwc.c165 const uint32_t mr = xnn_params.q8.avgpool.mr; in xnn_create_average_pooling2d_nhwc_q8()
166 const uint32_t qr = xnn_params.q8.avgpool.qr; in xnn_create_average_pooling2d_nhwc_q8()
313 const uint32_t mr = xnn_params.f32.avgpool.mr; in xnn_create_average_pooling2d_nhwc_f32()
314 const uint32_t qr = xnn_params.f32.avgpool.qr; in xnn_create_average_pooling2d_nhwc_f32()
428 const uint32_t mr = xnn_params.q8.avgpool.mr; in xnn_setup_average_pooling2d_nhwc_q8()
444 const uint32_t qr = xnn_params.q8.avgpool.qr; in xnn_setup_average_pooling2d_nhwc_q8()
473 average_pooling_op->context.average_pooling.unipass_ukernel = xnn_params.q8.avgpool.up; in xnn_setup_average_pooling2d_nhwc_q8()
476 average_pooling_op->context.average_pooling.multipass_ukernel = xnn_params.q8.avgpool.mp; in xnn_setup_average_pooling2d_nhwc_q8()
556 const uint32_t mr = xnn_params.f32.avgpool.mr; in xnn_setup_average_pooling2d_nhwc_f32()
582 const uint32_t qr = xnn_params.f32.avgpool.qr; in xnn_setup_average_pooling2d_nhwc_f32()
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Dinit.c96 xnn_params.q8.avgpool = (struct avgpool_parameters) { in init()
204 xnn_params.f32.avgpool = (struct avgpool_parameters) { in init()
327 xnn_params.q8.avgpool = (struct avgpool_parameters) { in init()
502 xnn_params.f32.avgpool = (struct avgpool_parameters) { in init()
682 xnn_params.q8.avgpool = (struct avgpool_parameters) { in init()
845 xnn_params.f32.avgpool = (struct avgpool_parameters) { in init()
1091 xnn_params.q8.avgpool = (struct avgpool_parameters) { in init()
1172 xnn_params.f32.avgpool = (struct avgpool_parameters) { in init()
1301 xnn_params.q8.avgpool = (struct avgpool_parameters) { in init()
1380 xnn_params.f32.avgpool = (struct avgpool_parameters) { in init()
/external/tensorflow/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/
Dnn.mlir22 // CHECK-NEXT: name: "avgpool",
53 …de_h = 3 : i32, stride_w = 1 : i32} : (tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32> loc("avgpool")
/external/tensorflow/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/
Dmany_attribute_op.mlir7 …de_h = 3 : i32, stride_w = 1 : i32} : (tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32> loc("avgpool")
/external/XNNPACK/
DCMakeLists.txt177 src/f32-avgpool/mp9p8q-scalar.c
178 src/f32-avgpool/up9-scalar.c
311 src/q8-avgpool/mp9p8q-scalar.c
312 src/q8-avgpool/up9-scalar.c
342 src/f32-avgpool/mp9p8q-psimd.c
343 src/f32-avgpool/up9-psimd.c
458 src/f32-avgpool/mp9p8q-neon.c
459 src/f32-avgpool/up9-neon.c
593 src/q8-avgpool/mp9p8q-neon.c
594 src/q8-avgpool/up9-neon.c
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DBUILD.bazel85 "src/f32-avgpool/mp9p8q-scalar.c",
86 "src/f32-avgpool/up9-scalar.c",
219 "src/q8-avgpool/mp9p8q-scalar.c",
220 "src/q8-avgpool/up9-scalar.c",
248 "src/f32-avgpool/mp9p8q-wasm.c",
249 "src/f32-avgpool/up9-wasm.c",
335 "src/f32-avgpool/mp9p8q-psimd.c",
336 "src/f32-avgpool/up9-psimd.c",
454 "src/f32-avgpool/mp9p8q-neon.c",
455 "src/f32-avgpool/up9-neon.c",
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DAndroid.bp48 "src/f32-avgpool/mp9p8q-scalar.c",
49 "src/f32-avgpool/up9-scalar.c",
182 "src/q8-avgpool/mp9p8q-scalar.c",
183 "src/q8-avgpool/up9-scalar.c",
214 "src/f32-avgpool/mp9p8q-psimd.c",
215 "src/f32-avgpool/up9-psimd.c",
333 "src/f32-avgpool/mp9p8q-neon.c",
334 "src/f32-avgpool/up9-neon.c",
468 "src/q8-avgpool/mp9p8q-neon.c",
469 "src/q8-avgpool/up9-neon.c",
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/external/tensorflow/tensorflow/lite/toco/
Dimport_tensorflow.cc1278 auto* avgpool = new AveragePoolOperator; in ConvertAvgPoolOperator() local
1279 avgpool->inputs.push_back(input_name); in ConvertAvgPoolOperator()
1280 avgpool->outputs.push_back(node.name()); in ConvertAvgPoolOperator()
1285 avgpool->stride_height = strides.i(1); in ConvertAvgPoolOperator()
1286 avgpool->stride_width = strides.i(2); in ConvertAvgPoolOperator()
1291 avgpool->kheight = ksize.i(1); in ConvertAvgPoolOperator()
1292 avgpool->kwidth = ksize.i(2); in ConvertAvgPoolOperator()
1295 avgpool->padding.type = PaddingType::kSame; in ConvertAvgPoolOperator()
1297 avgpool->padding.type = PaddingType::kValid; in ConvertAvgPoolOperator()
1301 model->operators.emplace_back(avgpool); in ConvertAvgPoolOperator()
Dtooling_util.cc1979 const auto& avgpool = *static_cast<const AveragePoolOperator*>(&op); in EstimateArithmeticOpsCount() local
1985 avgpool.kheight * avgpool.kwidth; in EstimateArithmeticOpsCount()
/external/XNNPACK/src/xnnpack/
Dparams.h1346 struct avgpool_parameters avgpool; member
1364 struct avgpool_parameters avgpool; member
/external/tensorflow/tensorflow/compiler/mlir/lite/tests/
Dprepare-quantize.mlir160 …name = "avgpool", filter_height = 3 : i32, filter_width = 6 : i32, fused_activation_function = "NO…
457 …name = "avgpool", filter_height = 3 : i32, filter_width = 6 : i32, fused_activation_function = "NO…
Dquantize.mlir128 …%1 = "tfl.average_pool_2d"(%0) {name = "avgpool", filter_height = 3 : i32, filter_width = 6 : i32,…