/external/walt/pywalt/pywalt/ |
D | evparser.py | 6 AXIS = 'axis' variable 17 x = array([int(e[VALUE]) for e in events if e[AXIS] == 'X']) 18 tx = array([float(e[TIME]) for e in events if e[AXIS] == 'X']) 20 y = array([int(e[VALUE]) for e in events if e[AXIS] == 'Y']) 21 ty = array([float(e[TIME]) for e in events if e[AXIS] == 'Y'])
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/external/ComputeLibrary/src/core/CL/cl_kernels/common/ |
D | stack_layer.cl | 26 #if defined(DATA_TYPE) && defined(AXIS) && defined(SRC_DIM2) && defined(DST_DIM3) 28 #if AXIS == 0 34 #elif AXIS == 1 // AXIS == 1 40 #elif AXIS == 2 // AXIS == 2 46 #elif AXIS == 3 // AXIS == 3 52 #elif AXIS == 4 // AXIS == 4 58 #else // AXIS not supported 60 #endif // AXIS == 0 113 #endif // defined(DATA_TYPE) && defined(AXIS) && defined(SRC_DIM2) && defined(DST_DIM3)
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D | gather.cl | 26 #if defined(DATA_TYPE) && defined(AXIS) 74 #if AXIS == 0 77 #elif AXIS == 1 80 #elif AXIS == 2 83 #elif AXIS == 3 86 #endif //AXIS 91 #endif //defined(DATA_TYPE) && defined(AXIS)
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/external/tensorflow/tensorflow/compiler/mlir/tfr/tests/ |
D | control_flow.mlir | 32 // CHECK-NEXT: %[[AXIS:.*]] = arith.constant 0 : i32 34 // CHECK-NEXT: %[[ED:.*]] = tfr.call @tf__expand_dims(%[[CAST]], %[[AXIS]]) : (!tfr.tensor, i32) ->… 46 // CHECK-NEXT: %[[AXIS:.*]] = arith.constant 0 : i32 50 // CHECK-NEXT: %[[EX0:.*]] = tfr.call @tf__expand_dims(%[[CAST0]], %[[AXIS]]) : (!tfr.tensor, i32) … 51 // CHECK-NEXT: %[[EX1:.*]] = tfr.call @tf__expand_dims(%[[CAST1]], %[[AXIS]]) : (!tfr.tensor, i32) … 53 // CHECK-NEXT: %[[EX2:.*]] = tfr.call @tf__expand_dims(%[[CAST2]], %[[AXIS]]) : (!tfr.tensor, i32) … 54 // CHECK-NEXT: %[[CONCAT2:.*]] = tfr.call @tf__risc_concat(%[[CONCAT1]], %[[EX2]], %[[AXIS]]) : (!t…
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D | end2end.mlir | 65 // CHECK-NEXT: %[[AXIS:.*]] = "tf.Const"() {value = dense<0> : tensor<i32>} : () -> tensor<i32> 66 // CHECK-NEXT: %[[ED:.*]] = "tf.ExpandDims"(%arg0, %[[AXIS]]) : (tensor<2x3xf32>, tensor<i32>) -> t… 76 // CHECK-NEXT: %[[AXIS:.*]] = "tf.Const"() {value = dense<0> : tensor<i32>} : () -> tensor<i32> 77 // CHECK-NEXT: %[[ED0:.*]] = "tf.ExpandDims"(%arg0, %[[AXIS]]) : (tensor<2x3xf32>, tensor<i32>) -> … 78 // CHECK-NEXT: %[[ED1:.*]] = "tf.ExpandDims"(%arg1, %[[AXIS]]) : (tensor<2x3xf32>, tensor<i32>) -> … 80 // CHECK-NEXT: %[[ED2:.*]] = "tf.ExpandDims"(%arg2, %[[AXIS]]) : (tensor<2x3xf32>, tensor<i32>) -> …
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/external/tensorflow/tensorflow/core/kernels/ |
D | one_hot_op_test.cc | 58 #define BM_OneHot(BATCH, CLASS, AXIS, DEVICE) \ argument 59 static void BM_OneHot##_##BATCH##_##CLASS##_##AXIS##_##DEVICE( \ 61 test::Benchmark(#DEVICE, OneHot(BATCH, CLASS, AXIS), \ 67 BENCHMARK(BM_OneHot##_##BATCH##_##CLASS##_##AXIS##_##DEVICE);
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/external/tensorflow/tensorflow/core/transforms/constant_folding/tests/ |
D | merge_concat_partial_folding.mlir | 12 // CHECK: %[[AXIS:.*]], {{.*}} = Const name("axis") 16 // CHECK: ConcatV2(%[[CONST]], %[[P]], %[[AXIS]]) name("concat2") 18 // CHECK: ConcatV2(%[[P]], %[[ARG]], %[[AXIS]]) name("concat3")
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/external/tensorflow/tensorflow/compiler/mlir/lite/tests/ |
D | dilated-conv.mlir | 164 // CHECK-NEXT: [[AXIS:%.*]] = "tf.Const"() {value = dense<3> : tensor<i32>} : () -> tensor<i32> 165 …// CHECK-NEXT: [[EXPAND:%.*]] = "tf.ExpandDims"([[INPUT]], [[AXIS]]) : (tensor<1x128x128xf32>, ten… 187 // CHECK-NEXT: [[AXIS:%.*]] = "tf.Const"() {value = dense<3> : tensor<i32>} : () -> tensor<i32> 188 …// CHECK-NEXT: [[EXPAND:%.*]] = "tf.ExpandDims"([[INPUT]], [[AXIS]]) : (tensor<1x128x128xf32>, ten… 210 // CHECK-NEXT: [[AXIS:%.*]] = "tf.Const"() {value = dense<3> : tensor<i32>} : () -> tensor<i32> 211 …// CHECK-NEXT: [[EXPAND:%.*]] = "tf.ExpandDims"([[INPUT]], [[AXIS]]) : (tensor<1x128x128xf32>, ten… 233 // CHECK-NEXT: [[AXIS:%.*]] = "tf.Const"() {value = dense<3> : tensor<i32>} : () -> tensor<i32> 234 …// CHECK-NEXT: [[EXPAND:%.*]] = "tf.ExpandDims"([[INPUT]], [[AXIS]]) : (tensor<1x128x128xf32>, ten… 258 // CHECK-NEXT: [[AXIS:%.*]] = "tf.Const"() {value = dense<3> : tensor<i32>} : () -> tensor<i32> 259 …// CHECK-NEXT: [[EXPAND:%.*]] = "tf.ExpandDims"([[INPUT]], [[AXIS]]) : (tensor<1x128x128xf32>, ten… [all …]
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D | lower-static-tensor-list.mlir | 242 // CHECK-DAG: [[AXIS:%.*]] = arith.constant dense<0> : tensor<i32> 243 // CHECK-DAG: [[EXPAND_DIM:%[0-9]+]] = "tf.ExpandDims"(%arg1, [[AXIS]]) : (tensor<i32>, tensor<i32…
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D | optimize.mlir | 2756 // CHECK: %[[AXIS:.*]] = arith.constant dense<2> : tensor<i32> 2757 …// CHECK: %[[RES_TF:.*]] = "tfl.cumsum"(%arg0, %[[AXIS]]) {exclusive = true, reverse = false} : (t… 2758 …// CHECK: %[[RES_TT:.*]] = "tfl.cumsum"(%arg0, %[[AXIS]]) {exclusive = true, reverse = true} : (te…
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/external/tensorflow/tensorflow/compiler/mlir/tensorflow/tests/ |
D | lower_tf.mlir | 38 // CHECK: %[[AXIS:.*]] = "tf.Const"() {value = dense<0> : tensor<i64>} 39 …// CHECK: %[[INP0:.*]] = "tf.ExpandDims"(%[[ARG0]], %[[AXIS]]) : (tensor<3x5xf32>, tensor<i64>) ->… 40 …// CHECK: %[[INP1:.*]] = "tf.ExpandDims"(%[[ARG1]], %[[AXIS]]) : (tensor<3x5xf32>, tensor<i64>) ->… 41 …// CHECK: "tf.ConcatV2"(%[[INP0]], %[[INP1]], %[[AXIS]]) : (tensor<1x3x5xf32>, tensor<1x3x5xf32>, … 169 // CHECK: %[[AXIS:.*]] = "tf.Const"() {value = dense<-2> : tensor<i64>} 170 …// CHECK: %[[INP0:.*]] = "tf.ExpandDims"(%[[ARG0]], %[[AXIS]]) : (tensor<?x5xf32>, tensor<i64>) ->… 171 …// CHECK: %[[INP1:.*]] = "tf.ExpandDims"(%[[ARG1]], %[[AXIS]]) : (tensor<*xf32>, tensor<i64>) -> t… 172 …// CHECK: "tf.ConcatV2"(%[[INP0]], %[[INP1]], %[[AXIS]]) : (tensor<?x1x5xf32>, tensor<*xf32>, tens… 455 …// CHECK-DAG: %[[AXIS:.*]] = "tf.Const"() {value = dense<-1> : tensor<1xi64>} : () -> tensor<1xi64> 460 …// CHECK-DAG: %[[LOG_SOFTMAX_MAX:.*]] = "tf.Max"(%[[FEATURES]], %[[AXIS]]) {keep_dims = true} : (t… [all …]
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D | tensor_list_ops_decomposition.mlir | 135 // CHECK: %[[AXIS:.*]] = "tf.Const"() {value = dense<0> : tensor<i32>} : () -> tensor<i32> 136 …// CHECK: %[[GATHER:.*]] = "tf.GatherV2"(%[[BUFFER]], %[[ARG1]], %[[AXIS]]) : (tensor<10x8x9xf32>,…
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D | tensor_array_ops_decomposition.mlir | 159 // CHECK: %[[AXIS:.*]] = "tf.Const"() {value = dense<0> : tensor<i32>} : () -> tensor<i32> 160 …// CHECK: %[[GATHER:.*]] = "tf.GatherV2"(%[[READ]], %[[INDS]], %[[AXIS]]) : (tensor<5x3xf32>, tens…
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D | canonicalize.mlir | 22 // CHECK: %[[AXIS:.*]] = "tf.Const"() {value = dense<0> : tensor<i32>} : () -> tensor<i32> 23 …// CHECK: "tf.GatherV2"(%arg0, %arg1, %[[AXIS]]) {batch_dims = 0 : i64} : (tensor<4x3xf32>, tensor… 161 // CHECK: %[[AXIS:.*]] = "tf.Const" 164 // CHECK: "tf.ConcatV2"(%arg0, %arg1, %[[AXIS]])
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D | legalize_hlo.mlir | 3318 // CHECK: %[[AXIS:.+]] = "tf.Const"() {value = dense<0> : tensor<i64>} : () -> tensor<i64> 3319 // CHECK: %[[RES:.+]] = "tf.GatherV2"(%arg0, %arg1, %[[AXIS]]) {batch_dims = 0 : i64}
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/external/libcups/backend/ |
D | snmp.txt | 12 AXIS 5600 20 HOST-RESOURCES-MIB::hrDeviceDescr.2 = STRING: Axis AXIS 5600 21 HOST-RESOURCES-MIB::hrDeviceDescr.3 = STRING: Axis AXIS 5600 32 AXIS OfficeBasic 34 SNMPv2-MIB::sysDescr.0 = STRING: AXIS OfficeBasic Parallel Network Print Server V6.43 Sep 4 2003
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/external/libffi/src/cris/ |
D | sysv.S | 36 ;; AXIS ETRAX 100LX Programmer's Manual chapter 6.3).
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/external/python/cpython2/Modules/_ctypes/libffi/src/cris/ |
D | sysv.S | 36 ;; AXIS ETRAX 100LX Programmer's Manual chapter 6.3).
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/external/ComputeLibrary/cl_kernels/common/ |
D | stack_layer.clembed | 1247 #if defined(DATA_TYPE) && defined(AXIS) && defined(SRC_DIM2) && defined(DST_DIM3) 1249 #if AXIS == 0 1255 #elif AXIS == 1 1261 #elif AXIS == 2 1267 #elif AXIS == 3 1273 #elif AXIS == 4
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D | gather.clembed | 1247 #if defined(DATA_TYPE) && defined(AXIS) 1264 #if AXIS == 0 1267 #elif AXIS == 1 1270 #elif AXIS == 2 1273 #elif AXIS == 3
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/external/iptables/utils/ |
D | pf.os | 661 S12:64:0:44:M1452: AXIS:5600:v5.64:AXIS Printer Server 5600 v5.64
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/external/arm-trusted-firmware/drivers/st/clk/ |
D | stm32mp1_clk.c | 517 _CLK_PARENT_SEL(AXIS, RCC_ASSCKSELR, axiss_parents),
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/external/tensorflow/tensorflow/compiler/mlir/xla/tests/ |
D | legalize-tf-no-tf2xla-fallback.mlir | 5740 // CHECK: [[AXIS:%.*]] = mhlo.constant dense<0> : tensor<i32> 5760 // CHECK: [[AXIS:%.*]] = mhlo.constant dense<0> : tensor<i32> 5781 // CHECK: [[AXIS:%.*]] = mhlo.constant dense<0> : tensor<i32> 5803 // CHECK: [[AXIS:%.*]] = mhlo.constant dense<0> : tensor<i32>
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D | legalize-tf.mlir | 5909 // CHECK: [[AXIS:%.*]] = mhlo.constant dense<0> : tensor<i32> 5929 // CHECK: [[AXIS:%.*]] = mhlo.constant dense<0> : tensor<i32> 5950 // CHECK: [[AXIS:%.*]] = mhlo.constant dense<0> : tensor<i32> 5972 // CHECK: [[AXIS:%.*]] = mhlo.constant dense<0> : tensor<i32>
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/external/harfbuzz_ng/perf/texts/ |
D | en-words.txt | 763 AXIS
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