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/llvm-project-15.0.7/mlir/test/Integration/Dialect/SparseTensor/taco/
H A Dtest_true_dense_tensor_algebra.py13 A = pt.from_array(np.full([2,3], 1, dtype=np.float64))
14 B = pt.from_array(np.full([2,3], 2, dtype=np.float64))
17 C = pt.tensor([2, 3], dtype=pt.float64, is_dense=True)
H A Dtest_tensor_types.py16 pt.int8, pt.int16, pt.int32, pt.int64, pt.float16, pt.float32, pt.float64
H A Dunit_test_tensor_utils.py89 pytaco_utils.sparse_tensor_to_coo_tensor(sparse_tensor, np.float64))
/llvm-project-15.0.7/mlir/test/Integration/Dialect/SparseTensor/python/
H A Dtest_elementwise_add_sparse_output.py69 np.float64)
72 np.float64)
86 support_lib, mem_out[0], np.float64)
H A Dtest_SDDMM.py88 [1.8, 2.8, 3.8, 4.8, 5.8, 6.8, 7.8, 8.8]], np.float64)
89 b = np.ones((8, 8), np.float64)
90 c = np.zeros((8, 8), np.float64)
109 expected = np.zeros((8, 8), np.float64)
H A Dtest_SpMM.py83 np.float64)
84 b = np.array([[1.0, 2.0], [4.0, 3.0], [5.0, 6.0], [8.0, 7.0]], np.float64)
85 c = np.zeros((3, 2), np.float64)
H A Dtest_stress.py41 (np.float64, ir.F64Type.get(context=context)),
/llvm-project-15.0.7/mlir/test/Integration/Dialect/SparseTensor/taco/tools/
H A Dtesting_utils.py30 actual_data = np.loadtxt(actual, np.float64, skiprows=3)
31 expected_data = np.loadtxt(expected, np.float64, skiprows=3)
H A Dmlir_pytaco_api.py44 float64 = mlir_pytaco.DType(mlir_pytaco.Type.FLOAT64) variable
H A Dmlir_pytaco.py77 FLOAT64 = np.float64
91 np.float32, np.float64, np.complex64, np.complex128]
153 np.float64: Type.FLOAT64,
1195 if array.dtype != np.float32 and array.dtype != np.float64:
H A Dmlir_pytaco_utils.py95 (np.float64, c_lib.convertToMLIRSparseTensorF64,
/llvm-project-15.0.7/clang/test/CodeGen/
H A Dattr-arm-sve-vector-bits-types.c55 DEFINE_STRUCT(float64)
69 DEFINE_UNION(float64)
H A Dattr-arm-sve-vector-bits-bitcast.c23 DEFINE_STRUCT(float64) in DEFINE_STRUCT() argument
/llvm-project-15.0.7/mlir/benchmark/python/
H A Dcommon.py28 tensor = np.zeros(dimensions, np.float64)
H A Dbenchmark_sparse.py89 argument = np.zeros(dimensions, np.float64)
/llvm-project-15.0.7/openmp/libomptarget/plugins/amdgpu/impl/
H A Dmsgpack.def26 X(float64, 9, read_zero, 0xcb, 0xcb)
H A Dmsgpack.h197 case msgpack::float64: in handle_msgpack_given_type()
/llvm-project-15.0.7/clang/test/Sema/
H A Dattr-arm-sve-vector-bits.c268 TEST_CAST_VECTOR(float64) in TEST_CAST_VECTOR()
308 TEST_CALL(float64)
/llvm-project-15.0.7/mlir/test/Conversion/FuncToSPIRV/
H A Dtypes-to-spirv.mlir138 // CHECK-LABEL: spv.func @float64
140 // NOEMU-LABEL: func @float64
142 func.func @float64(%arg0: f64) { return }
160 // CHECK-LABEL: spv.func @float64
162 // NOEMU-LABEL: spv.func @float64
164 func.func @float64(%arg0: f64) { return }
/llvm-project-15.0.7/lldb/tools/debugserver/source/
H A DDNBDefs.h282 double float64; member
H A DDNBRegisterInfo.cpp130 snprintf(str, sizeof(str), "%g", value.float64); in Dump()
/llvm-project-15.0.7/mlir/test/python/ir/
H A Darray_attributes.py201 array = np.array([[1.1, 2.2, 3.3], [4.4, 5.5, 6.6]], dtype=np.float64)
/llvm-project-15.0.7/mlir/test/IR/
H A Dparser.mlir709 // CHECK: "float64"() {bar = dense<{{\[\[\[}}-5.000000e+00, 6.000000e+00, 1.000000e+00, 2.000000e+0…
710 …"float64"(){bar = dense<[[[-5.0, 6.0, 1.0, 2.0]], [[7.0, -8.0, 3.0, 4.0]]]> : tensor<2x1x4xf64>} :…
758 // CHECK: "float64"() {bar = dense<{{\[\[\[}}-5.000000e+00, 6.000000e+00, 1.000000e+00, 2.000000e+0…
759 …"float64"(){bar = dense<[[[-5.0, 6.0, 1.0, 2.0]], [[7.0, -8.0, 3.0, 4.0]]]> : vector<2x1x4xf64>} :…
/llvm-project-15.0.7/compiler-rt/lib/builtins/
H A Dfp_div_impl.inc17 // It uses 3 iterations for float32, 4 for float64 and 5 for float128,
/llvm-project-15.0.7/mlir/test/Integration/Dialect/Vector/CPU/X86Vector/
H A Dtest-sparse-dot-product.mlir8 // the dot product of two sparse HW vectors of 8 float64 elements ("segment").

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