| /llvm-project-15.0.7/mlir/test/python/ |
| H A D | execution_engine.py | 154 arr = unranked_memref_to_numpy(a, np.float32) 169 inp_arr = np.array([[1.0, 2.0], [3.0, 4.0]], np.float32) 177 inp_arr_1 = np.array([5, 6, 7], dtype=np.float32) 220 inp_arr = np.array([[1.0, 5.0], [6.0, 7.0]], np.float32) 247 arg1 = np.array([32.5]).astype(np.float32) 248 arg2 = np.array(6).astype(np.float32) 249 res = np.array([0]).astype(np.float32) 445 arg1 = np.random.randn(2, 2).astype(np.float32) 446 arg2 = np.random.randn(2, 2).astype(np.float32) 447 res = np.random.randn(2, 2).astype(np.float32) [all …]
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| /llvm-project-15.0.7/clang/test/CodeGenOpenCL/ |
| H A D | inline-asm-amdgcn.cl | 4 typedef float float32 __attribute__((ext_vector_type(32))); 13 float32 acc_c; 16 float32 reg_c;
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| /llvm-project-15.0.7/mlir/test/Integration/Dialect/SparseTensor/taco/ |
| H A D | test_SpMV.py | 34 x = pt.from_array(np.full((A.shape[1],), 1, dtype=np.float32)) 35 z = pt.from_array(np.full((A.shape[0],), 2, dtype=np.float32))
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| H A D | test_MTTKRP.py | 33 C = pt.from_array(np.full((B.shape[1], 25), 1, dtype=np.float32)) 34 D = pt.from_array(np.full((B.shape[2], 25), 2, dtype=np.float32))
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| H A D | test_SDDMM.py | 18 A = pt.from_array(np.full((8, 8), 2.0, dtype=np.float32)) 19 B = pt.from_array(np.full((8, 8), 3.0, dtype=np.float32))
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| H A D | test_tensor_types.py | 16 pt.int8, pt.int16, pt.int32, pt.int64, pt.float16, pt.float32, pt.float64
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| /llvm-project-15.0.7/llvm/lib/Analysis/models/ |
| H A D | gen-inline-oz-test-model.py | 79 tf.TensorSpec(dtype=tf.float32, shape=(), name=key) 111 s = tf.reduce_sum([tf.cast(x, tf.float32) for x in tf.nest.flatten(inputs)])
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| /llvm-project-15.0.7/clang/test/CodeGen/ |
| H A D | attr-arm-sve-vector-bits-types.c | 54 DEFINE_STRUCT(float32) 68 DEFINE_UNION(float32)
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| /llvm-project-15.0.7/mlir/test/python/ir/ |
| H A D | array_attributes.py | 95 array = np.array([[1.0, 1.0, 1.0], [1.0, 1.0, 1.0]], dtype=np.float32) 111 array = np.array([2.0, 1.0, 1.0], dtype=np.float32) 188 array = np.array([[1.1, 2.2, 3.3], [4.4, 5.5, 6.6]], dtype=np.float32)
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| /llvm-project-15.0.7/mlir/test/Integration/Dialect/SparseTensor/taco/tools/ |
| H A D | mlir_pytaco_api.py | 43 float32 = mlir_pytaco.DType(mlir_pytaco.Type.FLOAT32) variable
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| H A D | mlir_pytaco.py | 76 FLOAT32 = np.float32 91 np.float32, np.float64, np.complex64, np.complex128] 152 np.float32: Type.FLOAT32, 1195 if array.dtype != np.float32 and array.dtype != np.float64:
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| H A D | mlir_pytaco_utils.py | 93 (np.float32, c_lib.convertToMLIRSparseTensorF32,
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| /llvm-project-15.0.7/openmp/libomptarget/plugins/amdgpu/impl/ |
| H A D | msgpack.def | 25 X(float32, 5, read_zero, 0xca, 0xca)
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| H A D | msgpack.h | 196 case msgpack::float32: in handle_msgpack_given_type()
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| /llvm-project-15.0.7/compiler-rt/lib/builtins/ |
| H A D | fp_div_impl.inc | 17 // It uses 3 iterations for float32, 4 for float64 and 5 for float128, 20 // it is done for float32 by default) and (N-1) half-width iteration plus one 147 // for float32 division. This is expected to be useful for some 16-bit 257 // the total number of iterations should be at least 3 even for float32.
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| /llvm-project-15.0.7/lldb/tools/debugserver/source/ |
| H A D | DNBDefs.h | 281 float float32; member
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| H A D | DNBRegisterInfo.cpp | 127 snprintf(str, sizeof(str), "%f", value.float32); in Dump()
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| /llvm-project-15.0.7/mlir/test/Integration/Dialect/SparseTensor/python/ |
| H A D | test_stress.py | 42 (np.float32, ir.F32Type.get(context=context)),
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| /llvm-project-15.0.7/llvm/unittests/Analysis/Inputs/ir2native_x86_64_model/ |
| H A D | saved_model.pbtxt | 8465 …float32\", \"batch_input_shape\": null, \"config\": {\"name\": \"sequential\", \"layers\": [{\"cla… 8507 …pe\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"dens… 8549 …e\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"dense… 9110 … \"Mean\", \"name\": \"loss\", \"dtype\": \"float32\", \"config\": {\"name\": \"loss\", \"dtype\":… 9140 …\"mean_squared_error\", \"dtype\": \"float32\", \"config\": {\"name\": \"mean_squared_error\", \"d…
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| /llvm-project-15.0.7/clang/test/Sema/ |
| H A D | attr-arm-sve-vector-bits.c | 267 TEST_CAST_VECTOR(float32) in TEST_CAST_VECTOR()
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| /llvm-project-15.0.7/mlir/test/IR/ |
| H A D | parser.mlir | 707 // CHECK: "float32"() {bar = dense<{{\[\[\[}}-5.000000e+00, 6.000000e+00, 1.000000e+00, 2.000000e+0… 708 …"float32"(){bar = dense<[[[-5.0, 6.0, 1.0, 2.0]], [[7.0, -8.0, 3.0, 4.0]]]> : tensor<2x1x4xf32>} :… 756 // CHECK: "float32"() {bar = dense<{{\[\[\[}}-5.000000e+00, 6.000000e+00, 1.000000e+00, 2.000000e+0… 757 …"float32"(){bar = dense<[[[-5.0, 6.0, 1.0, 2.0]], [[7.0, -8.0, 3.0, 4.0]]]> : vector<2x1x4xf32>} :…
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| /llvm-project-15.0.7/lldb/docs/use/ |
| H A D | variable.rst | 215 (lldb) type format add -f float32[] int 219 (lldb) type format add -f float32[] int -p 309 | ``float32[], float64[]`` | | show this as an array of the c… 672 any of the array formats (int8_t[], float32{}, ...), and the y, Y and a formats
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| /llvm-project-15.0.7/mlir/include/mlir/IR/ |
| H A D | BuiltinAttributes.td | 242 // A tensor of 2 float32 elements.
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| /llvm-project-15.0.7/lldb/docs/ |
| H A D | lldb-gdb-remote.txt | 774 vector-float32
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