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/external/tensorflow/tensorflow/core/ops/
Dlinalg_ops_test.cc25 ShapeInferenceTestOp op("MatrixDeterminant"); in TEST() local
26 INFER_OK(op, "?", "?"); in TEST()
27 INFER_ERROR("Shape must be at least rank 2 but is rank 1", op, "[1]"); in TEST()
28 INFER_ERROR("Dimensions must be equal, but are 2 and 1", op, "[1,?,3,4,1,2]"); in TEST()
30 INFER_OK(op, "[?,?]", "[]"); in TEST()
31 INFER_OK(op, "[1,?]", "[]"); in TEST()
32 INFER_OK(op, "[?,1]", "[]"); in TEST()
35 INFER_OK(op, "[1,?,3,4,?,?]", "[d0_0,d0_1,d0_2,d0_3]"); in TEST()
36 INFER_OK(op, "[1,?,3,4,1,?]", "[d0_0,d0_1,d0_2,d0_3]"); in TEST()
37 INFER_OK(op, "[1,?,3,4,?,1]", "[d0_0,d0_1,d0_2,d0_3]"); in TEST()
[all …]
Dnn_ops_test.cc27 ShapeInferenceTestOp op("TopK"); in TEST() local
28 auto set_k = [&op](int k) { in TEST()
32 .Finalize(&op.node_def)); in TEST()
37 INFER_OK(op, "?", "?;?"); in TEST()
39 INFER_OK(op, "[20]", "[20];[20]"); in TEST()
40 INFER_OK(op, "[21]", "[20];[20]"); in TEST()
43 INFER_OK(op, "[1,?,21]", "[d0_0,d0_1,20];[d0_0,d0_1,20]"); in TEST()
45 INFER_OK(op, "[1,?,21,?]", "[d0_0,d0_1,d0_2,20];[d0_0,d0_1,d0_2,20]"); in TEST()
47 INFER_ERROR("Shape must be at least rank 1 but is rank 0", op, "[]"); in TEST()
48 INFER_ERROR("input must have last dimension >= k = 20 but is 1", op, "[1]"); in TEST()
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Darray_ops_test.cc31 ShapeInferenceTestOp op("TensorScatterUpdate"); in TEST() local
33 INFER_OK(op, "[4,3];[8,2];[8]", "in0"); in TEST()
34 INFER_OK(op, "[?,?];[?,2];[?]", "in0"); in TEST()
35 INFER_OK(op, "[?];[?];[?]", "in0"); in TEST()
37 INFER_ERROR("Shape must be at least rank 1 but is rank 0", op, in TEST()
39 INFER_ERROR("Indices and updates specified for empty input", op, in TEST()
44 op, "[?,?];[8,2];[9]"); in TEST()
48 op, "[?,?];[?,2];[?,1]"); in TEST()
52 ShapeInferenceTestOp op("ScatterNd"); in TEST() local
54 INFER_OK(op, "[8,2];[8];[2]", "[?,?]"); in TEST()
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Dtraining_ops_test.cc23 static void TestGradAndIndicesErrorHandling(const ShapeInferenceTestOp& op, in TestGradAndIndicesErrorHandling() argument
33 INFER_ERROR("Dimension 1 in both shapes must be equal", op, in TestGradAndIndicesErrorHandling()
36 INFER_ERROR("Dimensions must be equal, but are 1 and 2", op, in TestGradAndIndicesErrorHandling()
39 INFER_ERROR("must be equal rank", op, shape_spec("[1]", "[?,2];[?]")); in TestGradAndIndicesErrorHandling()
41 INFER_ERROR("Shape must be rank 1 but is rank 2", op, in TestGradAndIndicesErrorHandling()
46 ShapeInferenceTestOp op("ApplyGradientDescent"); in TEST() local
49 INFER_OK(op, "[1,?];[];[?,2]", "[d0_0,d2_1]"); in TEST()
50 INFER_ERROR("Dimension 0 in both shapes must be equal, but are 1 and 2", op, in TEST()
54 INFER_ERROR("Shape must be rank 0 but is rank 1", op, "?;[?];?"); in TEST()
58 ShapeInferenceTestOp op("ApplyProximalGradientDescent"); in TEST() local
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Dmath_ops_test.cc29 ShapeInferenceTestOp op("AddN"); in TEST() local
30 auto set_n = [&op](int n) { in TEST()
37 .Finalize(&op.node_def)); in TEST()
42 INFER_OK(op, "?;?", "in0|in1"); in TEST()
45 INFER_OK(op, "[1];[?]", "in0"); in TEST()
46 INFER_OK(op, "[1];?", "in0"); in TEST()
47 INFER_OK(op, "[?];[1]", "in1"); in TEST()
48 INFER_OK(op, "?;[1]", "in1"); in TEST()
51 INFER_OK(op, "[1,2];[?,2]", "in0"); in TEST()
52 INFER_OK(op, "[1,2];[1,2]", "in0|in1"); in TEST()
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Dspectral_ops_test.cc24 ShapeInferenceTestOp op(op_name); in TEST() local
25 INFER_OK(op, "?", "in0"); in TEST()
26 INFER_ERROR("Shape must be at least rank 1 but is rank 0", op, "[]"); in TEST()
27 INFER_OK(op, "[?]", "in0"); in TEST()
28 INFER_OK(op, "[1]", "in0"); in TEST()
29 INFER_OK(op, "[1,2,3,4,5,6,7]", "in0"); in TEST()
33 ShapeInferenceTestOp op(op_name); in TEST() local
34 INFER_OK(op, "?", "in0"); in TEST()
35 INFER_ERROR("Shape must be at least rank 2 but is rank 1", op, "[1]"); in TEST()
36 INFER_OK(op, "[?,1]", "in0"); in TEST()
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Dsparse_ops_test.cc26 ShapeInferenceTestOp op("SparseTensorDenseAdd"); in TEST() local
29 INFER_OK(op, "?;?;?;?", "in3"); in TEST()
33 ShapeInferenceTestOp op("SparseAdd"); in TEST() local
35 INFER_OK(op, "?;?;?;?;?;?;?", "[?,?];[?];[?]"); in TEST()
38 INFER_OK(op, "?;?;[?];?;?;?;?", "[?,d2_0];[?];in2"); in TEST()
39 INFER_OK(op, "?;?;[1];?;?;?;?", "[?,d2_0];[?];in2"); in TEST()
43 ShapeInferenceTestOp op("SparseAddGrad"); in TEST() local
46 INFER_ERROR("must be rank 2", op, "?;?;[1];?"); in TEST()
47 INFER_ERROR("must be rank 2", op, "?;[1];?;?"); in TEST()
49 INFER_OK(op, "?;?;?;?", "[?];[?]"); in TEST()
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Dimage_ops_test.cc27 ShapeInferenceTestOp op("SampleDistortedBoundingBox"); in TEST() local
28 INFER_OK(op, "?;?", "[3];[3];[1,1,4]"); in TEST()
34 ShapeInferenceTestOp op(op_name); in TEST() local
35 op.input_tensors.resize(2); in TEST()
40 INFER_ERROR("Shape must be rank 4 but is rank 5", op, "[1,2,3,4,5];?"); in TEST()
41 INFER_ERROR("Shape must be rank 4 but is rank 3", op, "[1,2,3];?"); in TEST()
42 INFER_ERROR("Shape must be rank 1 but is rank 0", op, "?;[]"); in TEST()
43 INFER_ERROR("Dimension must be 2 but is 3", op, "?;[3]"); in TEST()
46 INFER_OK(op, "[1,?,3,?];[2]", "[d0_0,?,?,d0_3]"); in TEST()
49 op.input_tensors[1] = &size_tensor; in TEST()
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Dio_ops_test.cc25 ShapeInferenceTestOp op("Save"); in TEST() local
27 TF_ASSERT_OK(NodeDefBuilder("test", op.name) in TEST()
32 .Finalize(&op.node_def)); in TEST()
33 INFER_OK(op, "?;?;?;?", ""); in TEST()
34 INFER_OK(op, "[];[2];?;?", ""); in TEST()
37 INFER_ERROR("Shape must be rank 0 but is rank 1", op, "[?];?;?;?"); in TEST()
40 INFER_ERROR("Shape must be rank 1 but is rank 2", op, "[];[2,3];?;?"); in TEST()
41 INFER_ERROR("Dimension must be 2 but is 3", op, "[];[3];?;?"); in TEST()
45 ShapeInferenceTestOp op("SaveSlices"); in TEST() local
47 TF_ASSERT_OK(NodeDefBuilder("test", op.name) in TEST()
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Dset_ops_test.cc25 ShapeInferenceTestOp op("DenseToDenseSetOperation"); in TEST() local
26 op.input_tensors.resize(3); in TEST()
27 INFER_ERROR("Wrong number of inputs passed", op, "?;?;?"); in TEST()
31 ShapeInferenceTestOp op("DenseToDenseSetOperation"); in TEST() local
34 INFER_OK(op, "?;?", "[?,?];[?];[?]"); in TEST()
37 INFER_ERROR("Shape must be at least rank 2 but is rank 1", op, "[?];?"); in TEST()
38 INFER_ERROR("Shape must be at least rank 2 but is rank 1", op, "?;[?]"); in TEST()
39 INFER_ERROR("Shape must be at least rank 2 but is rank 1", op, "[2];?"); in TEST()
40 INFER_ERROR("Shape must be at least rank 2 but is rank 1", op, "?;[2]"); in TEST()
43 INFER_ERROR("Shape must be rank 2 but is rank 3", op, "[?,?];[?,?,?]"); in TEST()
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/external/tensorflow/tensorflow/compiler/xla/service/spmd/
Dspmd_partitioner_test.cc36 namespace op = xla::testing::opcode_matchers;
111 EXPECT_THAT(root, AllOf(op::Copy(op::AllReduce( in TEST_F()
112 op::Select(op::Broadcast(op::Compare()), in TEST_F()
113 op::Constant(), op::Broadcast()))), in TEST_F()
114 op::Shape("s32[2,3]"))); in TEST_F()
135 EXPECT_THAT(root, AllOf(op::Copy(op::AllReduce( in TEST_F()
136 op::Select(op::Broadcast(op::Compare()), in TEST_F()
137 op::Conditional(), op::Broadcast()))), in TEST_F()
138 op::Shape("s32[2,3]"))); in TEST_F()
154 EXPECT_THAT(root, op::Copy(AllOf(op::Copy(op::AllReduce(op::Select( in TEST_F()
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/external/tensorflow/tensorflow/core/grappler/
Dop_types.cc31 if (node.op() == "AddV2") { in IsAdd()
34 if (node.op() == "Add") { in IsAdd()
41 bool IsAddN(const NodeDef& node) { return node.op() == "AddN"; } in IsAddN()
43 bool IsAll(const NodeDef& node) { return node.op() == "All"; } in IsAll()
45 bool IsAngle(const NodeDef& node) { return node.op() == "Angle"; } in IsAngle()
47 bool IsAny(const NodeDef& node) { return node.op() == "Any"; } in IsAny()
50 return node.op() == "RealDiv" || node.op() == "Div" || node.op() == "Xdivy" || in IsAnyDiv()
51 node.op() == "FloorDiv" || node.op() == "TruncateDiv"; in IsAnyDiv()
55 return node.op() == "BatchMatMul" || node.op() == "BatchMatMulV2"; in IsAnyBatchMatMul()
59 return node.op() == "MatMul" || node.op() == "SparseMatMul" || in IsAnyMatMul()
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/external/deqp/external/vulkancts/modules/vulkan/shaderrender/
DvktShaderRenderLoopTests.cpp319 std::ostringstream& op = isVertexCase ? vtx : frag; in createGenericLoopCase() local
357 …op << "layout(std140, set=0, binding=" << locationCounter << ") uniform buff"<< locationCounter <<… in createGenericLoopCase()
358 op << " ${COUNTER_PRECISION} int " << getIntUniformName(numLoopIters) << ";\n"; in createGenericLoopCase()
359 op << "};\n"; in createGenericLoopCase()
367 …op << "layout(std140, set=0, binding=" << locationCounter << ") uniform buff" << locationCounter <… in createGenericLoopCase()
368 op << " ${COUNTER_PRECISION} float " << getFloatFractionUniformName(numLoopIters) << ";\n"; in createGenericLoopCase()
369 op << "};\n"; in createGenericLoopCase()
375 …op << "layout(std140, set=0, binding=" << locationCounter << ") uniform buff" << locationCounter <… in createGenericLoopCase()
376 op << " ${COUNTER_PRECISION} float uf_one;\n"; in createGenericLoopCase()
377 op << "};\n"; in createGenericLoopCase()
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/external/tensorflow/tensorflow/compiler/xla/service/
Dwhile_loop_concat_code_motion_test.cc36 namespace op = ::xla::testing::opcode_matchers;
85 auto loop = op::While( in TEST_F()
86 op::Tuple(op::Constant(), in TEST_F()
87 AllOf(op::Shape("f32[2048,1024]"), in TEST_F()
88 op::Concatenate(op::Parameter(0), op::Parameter(1))))); in TEST_F()
91 op::Tuple(op::GetTupleElement(loop), op::Slice(op::GetTupleElement(loop)), in TEST_F()
92 op::Slice(op::GetTupleElement(loop)))); in TEST_F()
96 op::Tuple(op::Add(), in TEST_F()
97 op::Add(op::CustomCall(), in TEST_F()
98 op::Reshape(op::Broadcast(op::CustomCall()))))); in TEST_F()
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/external/tensorflow/tensorflow/core/ir/
Dtf_op_names.cc24 bool TFGraphDialect::IsAdd(TFOp op) const { in IsAdd()
25 StringAttr op_name = op->getName().getIdentifier(); in IsAdd()
28 if (op_name == add_) return !op->getAttrOfType<StringAttr>("T"); in IsAdd()
32 bool TFGraphDialect::IsAddN(TFOp op) const { in IsAddN()
33 StringAttr op_name = op->getName().getIdentifier(); in IsAddN()
37 bool TFGraphDialect::IsAll(TFOp op) const { in IsAll()
38 StringAttr op_name = op->getName().getIdentifier(); in IsAll()
42 bool TFGraphDialect::IsAngle(TFOp op) const { in IsAngle()
43 StringAttr op_name = op->getName().getIdentifier(); in IsAngle()
47 bool TFGraphDialect::IsAny(TFOp op) const { in IsAny()
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/external/mesa3d/prebuilt-intermediates/glsl/
Dir_expression_operation_constant.h3 for (unsigned c = 0; c < op[0]->type->components(); c++) {
4 switch (op[0]->type->base_type) {
6 data.u[c] = ~ op[0]->value.u[c];
9 data.i[c] = ~ op[0]->value.i[c];
12 data.u64[c] = ~ op[0]->value.u64[c];
15 data.i64[c] = ~ op[0]->value.i64[c];
24 for (unsigned c = 0; c < op[0]->type->components(); c++) {
25 switch (op[0]->type->base_type) {
27 data.b[c] = !op[0]->value.b[c];
36 for (unsigned c = 0; c < op[0]->type->components(); c++) {
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/external/grpc-grpc/test/core/end2end/
Dinvalid_call_argument_test.cc58 grpc_op* op; in prepare_test() local
95 op = g_state.ops; in prepare_test()
96 op->op = GRPC_OP_SEND_INITIAL_METADATA; in prepare_test()
97 op->data.send_initial_metadata.count = 0; in prepare_test()
98 op->flags = GRPC_INITIAL_METADATA_WAIT_FOR_READY; in prepare_test()
99 op->reserved = nullptr; in prepare_test()
100 op++; in prepare_test()
102 (size_t)(op - g_state.ops), in prepare_test()
157 grpc_op* op; in test_non_null_reserved_on_op() local
160 op = g_state.ops; in test_non_null_reserved_on_op()
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/external/grpc-grpc/test/core/end2end/tests/
Dmax_concurrent_streams.cc92 grpc_op* op; in simple_request_body() local
114 op = ops; in simple_request_body()
115 op->op = GRPC_OP_SEND_INITIAL_METADATA; in simple_request_body()
116 op->data.send_initial_metadata.count = 0; in simple_request_body()
117 op->flags = 0; in simple_request_body()
118 op->reserved = nullptr; in simple_request_body()
119 op++; in simple_request_body()
120 op->op = GRPC_OP_SEND_CLOSE_FROM_CLIENT; in simple_request_body()
121 op->flags = 0; in simple_request_body()
122 op->reserved = nullptr; in simple_request_body()
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/external/sg3_utils/src/
Dsg_decode_sense.c151 parse_cmd_line(struct opts_t *op, int argc, char *argv[]) in parse_cmd_line() argument
167 if (op->fname) { in parse_cmd_line()
172 op->do_binary = true; in parse_cmd_line()
173 op->fname = optarg; in parse_cmd_line()
176 op->do_cdb = true; in parse_cmd_line()
184 op->err_given = true; in parse_cmd_line()
185 op->es_val = n; in parse_cmd_line()
188 if (op->fname) { in parse_cmd_line()
193 op->file_given = true; in parse_cmd_line()
194 op->fname = optarg; in parse_cmd_line()
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/external/tensorflow/tensorflow/python/ops/
Dnn_grad.py31 def _Conv2DBackpropInputGrad(op, grad): argument
47 array_ops.shape(op.inputs[1]),
48 op.inputs[2],
49 dilations=op.get_attr("dilations"),
50 strides=op.get_attr("strides"),
51 padding=op.get_attr("padding"),
52 explicit_paddings=op.get_attr("explicit_paddings"),
53 use_cudnn_on_gpu=op.get_attr("use_cudnn_on_gpu"),
54 data_format=op.get_attr("data_format").decode()),
57 op.inputs[1],
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/external/deqp-deps/glslang/Test/baseResults/
Dspv.vulkan100.subgroupPartitioned.comp.out2 ERROR: 0:19: 'subgroup op' : requires SPIR-V 1.3
3 ERROR: 0:21: 'subgroup op' : requires SPIR-V 1.3
4 ERROR: 0:22: 'subgroup op' : requires SPIR-V 1.3
5 ERROR: 0:23: 'subgroup op' : requires SPIR-V 1.3
6 ERROR: 0:24: 'subgroup op' : requires SPIR-V 1.3
7 ERROR: 0:26: 'subgroup op' : requires SPIR-V 1.3
8 ERROR: 0:27: 'subgroup op' : requires SPIR-V 1.3
9 ERROR: 0:28: 'subgroup op' : requires SPIR-V 1.3
10 ERROR: 0:29: 'subgroup op' : requires SPIR-V 1.3
11 ERROR: 0:31: 'subgroup op' : requires SPIR-V 1.3
[all …]
Dspv.vulkan100.subgroupArithmetic.comp.out2 ERROR: 0:19: 'subgroup op' : requires SPIR-V 1.3
3 ERROR: 0:20: 'subgroup op' : requires SPIR-V 1.3
4 ERROR: 0:21: 'subgroup op' : requires SPIR-V 1.3
5 ERROR: 0:22: 'subgroup op' : requires SPIR-V 1.3
6 ERROR: 0:24: 'subgroup op' : requires SPIR-V 1.3
7 ERROR: 0:25: 'subgroup op' : requires SPIR-V 1.3
8 ERROR: 0:26: 'subgroup op' : requires SPIR-V 1.3
9 ERROR: 0:27: 'subgroup op' : requires SPIR-V 1.3
10 ERROR: 0:29: 'subgroup op' : requires SPIR-V 1.3
11 ERROR: 0:30: 'subgroup op' : requires SPIR-V 1.3
[all …]
/external/angle/third_party/vulkan-deps/glslang/src/Test/baseResults/
Dspv.vulkan100.subgroupPartitioned.comp.out2 ERROR: 0:19: 'subgroup op' : requires SPIR-V 1.3
3 ERROR: 0:21: 'subgroup op' : requires SPIR-V 1.3
4 ERROR: 0:22: 'subgroup op' : requires SPIR-V 1.3
5 ERROR: 0:23: 'subgroup op' : requires SPIR-V 1.3
6 ERROR: 0:24: 'subgroup op' : requires SPIR-V 1.3
7 ERROR: 0:26: 'subgroup op' : requires SPIR-V 1.3
8 ERROR: 0:27: 'subgroup op' : requires SPIR-V 1.3
9 ERROR: 0:28: 'subgroup op' : requires SPIR-V 1.3
10 ERROR: 0:29: 'subgroup op' : requires SPIR-V 1.3
11 ERROR: 0:31: 'subgroup op' : requires SPIR-V 1.3
[all …]
Dspv.vulkan100.subgroupArithmetic.comp.out2 ERROR: 0:19: 'subgroup op' : requires SPIR-V 1.3
3 ERROR: 0:20: 'subgroup op' : requires SPIR-V 1.3
4 ERROR: 0:21: 'subgroup op' : requires SPIR-V 1.3
5 ERROR: 0:22: 'subgroup op' : requires SPIR-V 1.3
6 ERROR: 0:24: 'subgroup op' : requires SPIR-V 1.3
7 ERROR: 0:25: 'subgroup op' : requires SPIR-V 1.3
8 ERROR: 0:26: 'subgroup op' : requires SPIR-V 1.3
9 ERROR: 0:27: 'subgroup op' : requires SPIR-V 1.3
10 ERROR: 0:29: 'subgroup op' : requires SPIR-V 1.3
11 ERROR: 0:30: 'subgroup op' : requires SPIR-V 1.3
[all …]
/external/swiftshader/third_party/llvm-10.0/configs/common/lib/Target/ARM/
DARMGenMCCodeEmitter.inc4238 uint64_t op = 0;
4239 (void)op; // suppress warning
4510 // op: Dd
4511 op = getMachineOpValue(MI, MI.getOperand(0), Fixups, STI);
4512 Value |= (op & UINT64_C(16)) << 18;
4513 Value |= (op & UINT64_C(15)) << 12;
4514 // op: Dm
4515 op = getMachineOpValue(MI, MI.getOperand(1), Fixups, STI);
4516 Value |= (op & UINT64_C(16)) << 1;
4517 Value |= (op & UINT64_C(15));
[all …]

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