| /external/swiftshader/third_party/SPIRV-Tools/source/val/ |
| D | validate_extensions.cpp | 882 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
887 if (!_.GetMatrixTypeInfo(x_type, &num_rows, &num_cols, &col_type, in ValidateExtInst()
917 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
918 if (result_type != x_type) { in ValidateExtInst()
933 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
936 if (x_type != result_type) { in ValidateExtInst()
971 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
972 if (x_type != result_types[0]) { in ValidateExtInst()
988 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
991 if (x_type != result_type) { in ValidateExtInst()
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| /external/deqp-deps/SPIRV-Tools/source/val/ |
| D | validate_extensions.cpp | 897 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
902 if (!_.GetMatrixTypeInfo(x_type, &num_rows, &num_cols, &col_type, in ValidateExtInst()
932 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
933 if (result_type != x_type) { in ValidateExtInst()
948 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
951 if (x_type != result_type) { in ValidateExtInst()
986 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
987 if (x_type != result_types[0]) { in ValidateExtInst()
1003 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
1006 if (x_type != result_type) { in ValidateExtInst()
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| /external/angle/third_party/vulkan-deps/spirv-tools/src/source/val/ |
| D | validate_extensions.cpp | 897 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
902 if (!_.GetMatrixTypeInfo(x_type, &num_rows, &num_cols, &col_type, in ValidateExtInst()
932 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
933 if (result_type != x_type) { in ValidateExtInst()
948 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
951 if (x_type != result_type) { in ValidateExtInst()
986 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
987 if (x_type != result_types[0]) { in ValidateExtInst()
1003 const uint32_t x_type = _.GetOperandTypeId(inst, 4); in ValidateExtInst() local
1006 if (x_type != result_type) { in ValidateExtInst()
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| /external/llvm-project/libclc/generic/lib/common/ |
| D | step.cl | 38 #define STEP_DEF(edge_type, x_type) \
39 _CLC_OVERLOAD _CLC_DEF x_type step(edge_type edge, x_type x) { \
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| D | smoothstep.cl | 39 #define SMOOTH_STEP_DEF(edge_type, x_type, impl) \
40 _CLC_OVERLOAD _CLC_DEF x_type smoothstep(edge_type edge0, edge_type edge1, x_type x) { \
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| /external/tensorflow/tensorflow/compiler/mlir/tensorflow/ir/ |
| D | tf_ops_n_z.cc | 2404 auto x_type = op.x().getType().dyn_cast<RankedTensorType>(); in Verify() local
2413 if (x_type && y_type && x_type.getRank() != y_type.getRank()) { in Verify()
2415 << "x of rank " << x_type.getRank() in Verify()
2419 if (!x_type || !y_type || !perm_type || !perm_type.hasStaticShape()) { in Verify()
2423 if (x_type.getRank() != perm_type.getNumElements()) { in Verify()
2427 << x_type.getRank(); in Verify()
2438 const int64_t x_dim = x_type.getDimSize(x_idx); in Verify()
2455 auto x_type = x.getType().cast<TensorType>(); in build() local
2457 if (!x_type.hasRank()) in build()
2459 UnrankedTensorType::get(x_type.getElementType()), in build()
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| D | tf_ops_a_m.cc | 2603 auto x_type = op.x().getType().cast<TensorType>(); in Verify() local
2604 if (!x_type.hasRank()) return success(); in Verify()
2605 if (x_type.getShape().size() != 1) in Verify()
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| /external/tensorflow/tensorflow/compiler/mlir/tensorflow/transforms/ |
| D | lower_tf.cc | 469 auto x_type = op.x().getType().dyn_cast<RankedTensorType>(); in matchAndRewrite() local
471 if (!x_type || !x_type.hasStaticShape()) { in matchAndRewrite()
474 Type int_type = x_type.getElementType(); // Could be i32 or i64. in matchAndRewrite()
476 auto result_type = x_type; in matchAndRewrite()
479 loc, GetScalarOfType(int_type, x_type.getShape()[0])); in matchAndRewrite()
488 shape_type, {static_cast<int>(x_type.getDimSize(0)), 1})); in matchAndRewrite()
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| /external/mesa3d/src/compiler/glsl/ |
| D | builtin_functions.cpp | 5381 const glsl_type *x_type, const glsl_type *y_type) in UNOP()
5383 return binop(avail, ir_binop_mod, x_type, x_type, y_type); in UNOP()
5403 const glsl_type *x_type, const glsl_type *y_type) in _min() argument
5405 return binop(avail, ir_binop_min, x_type, x_type, y_type); in _min()
5410 const glsl_type *x_type, const glsl_type *y_type) in _max() argument
5412 return binop(avail, ir_binop_max, x_type, x_type, y_type); in _max()
5465 …lder::_step(builtin_available_predicate avail, const glsl_type *edge_type, const glsl_type *x_type) in _step() argument
5468 ir_variable *x = in_var(x_type, "x"); in _step()
5469 MAKE_SIG(x_type, avail, 2, edge, x); in _step()
5471 ir_variable *t = body.make_temp(x_type, "t"); in _step()
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| /external/tensorflow/tensorflow/cc/gradients/ |
| D | math_grad_test.cc | 100 DataType x_type = DataTypeToEnum<X_T>::v(); in TestCWiseGrad() local
102 auto x = Placeholder(scope_, x_type, Placeholder::Shape(shape)); in TestCWiseGrad()
103 Tensor x_data(x_type, shape); in TestCWiseGrad()
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| /external/tensorflow/tensorflow/compiler/mlir/hlo/lib/Dialect/mhlo/IR/ |
| D | hlo_ops.cc | 1833 auto x_type = operands[1].getType(); in inferReturnTypes() local
1835 auto x_tensor = x_type.cast<TensorType>(); in inferReturnTypes()
1844 failed(mlir::verifyCompatibleShape(x_type, y_type))) { in inferReturnTypes()
1845 return emitOptionalError(location, "incompatible operand types: ", x_type, in inferReturnTypes()
1855 if (x_type == y_type || !x_tensor.hasRank()) { in inferReturnTypes()
1856 output_type = x_type; in inferReturnTypes()
1861 "currently unsupported operand types: ", x_type, in inferReturnTypes()
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| /external/tensorflow/tensorflow/compiler/mlir/xla/transforms/ |
| D | legalize_tf.cc | 427 auto x_type = x.getType().cast<RankedTensorType>(); in StaticBinaryBroadcast() local
429 auto result_type = GetStaticBroadcastType(x_type, y_type, broadcast_dims); in StaticBinaryBroadcast()
431 emitError(loc) << "could not binary broadcast " << x_type << ", " << y_type in StaticBinaryBroadcast()
437 if (x_type.getRank() < y_type.getRank()) { in StaticBinaryBroadcast()
438 if (x_type != result_type) { in StaticBinaryBroadcast()
446 if (x_type != result_type) { in StaticBinaryBroadcast()
5709 auto x_type = x.getType().cast<RankedTensorType>(); in House() local
5715 Value zero = GetScalarConstOfType(x_type.getElementType(), loc, 0, builder); in House()
5716 Value one = GetScalarConstOfType(x_type.getElementType(), loc, 1, builder); in House()
5721 loc, RankedTensorType::get(batch_dims, x_type.getElementType()), alpha); in House()
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| /external/tensorflow/tensorflow/compiler/mlir/tosa/transforms/ |
| D | legalize_common.cc | 371 RankedTensorType x_type = x_value.getType().dyn_cast<RankedTensorType>(); in convertSelectOp() local
374 if (!result_type || !condition_type || !x_type || !y_type) { in convertSelectOp()
513 RankedTensorType x_type = x.getType().dyn_cast<RankedTensorType>(); in convertSquaredDifferenceOp() local
515 if (!x_type || !y_type) { in convertSquaredDifferenceOp()
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| /external/tensorflow/tensorflow/compiler/mlir/lite/transforms/ |
| D | prepare_tf.cc | 1116 auto x_type = (*x.begin()).getType(); in matchAndRewrite() local
1118 if (!OpTrait::util::getBroadcastedType(x_type, y_type)) { in matchAndRewrite()
|