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Results 1 - 10 of 62 for Dtype (0.03 sec)
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tensorflow/cc/experimental/base/tests/tensorhandle_test.cc
ASSERT_TRUE(status.ok()) << status.message(); TF_DataType dtype = TypeParam::kDType; // This is our 1D tensor of varying dtype. std::vector<typename TypeParam::type> value = {42, 100, 0, 1, 4, 29}; // Shape is Rank 2 vector with shape 2 x 3. std::vector<int64_t> shape({2, 3}); Tensor original_tensor = Tensor::FromBuffer( /*dtype=*/dtype, /*shape=*/shape, /*data=*/value.data(),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 09:56:08 UTC 2024 - 6.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/convert_type.cc
switch (itype.getWidth()) { case 1: *dtype = DT_BOOL; return absl::OkStatus(); case 4: *dtype = itype.isUnsigned() ? DT_UINT4 : DT_INT4; return absl::OkStatus(); case 8: *dtype = itype.isUnsigned() ? DT_UINT8 : DT_INT8; return absl::OkStatus(); case 16:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 26 09:37:10 UTC 2024 - 7.5K bytes - Viewed (0) -
tensorflow/c/eager/dlpack_test.cc
EXPECT_EQ(dltensor_out->device.device_id, dltensor_in->device.device_id); EXPECT_EQ(dltensor_out->ndim, dltensor_in->ndim); EXPECT_EQ(dltensor_out->dtype.code, dltensor_in->dtype.code); EXPECT_EQ(dltensor_out->dtype.bits, dltensor_in->dtype.bits); EXPECT_EQ(dltensor_out->dtype.lanes, dltensor_in->dtype.lanes); for (int i = 0; i < dltensor_in->ndim; ++i) { EXPECT_EQ(dltensor_out->shape[i], dltensor_in->shape[i]); if (dltensor_out->strides) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jun 30 03:04:46 UTC 2023 - 4.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/cc/const_op_size.cc
} // Arbitrarily calculate the size of const of type whose size is unkown or // varying. Each element of such a type is considered to have // `kAssumedNumBytesPerElem` bytes. int64_t GetSizeOfUnsupportedTypeConst(TF::ConstOp const_op) { return kAssumedNumBytesPerElem * const_op.getValue().getNumElements(); } } // namespace int64_t GetSizeInBytes(TF::ConstOp const_op) { const Type dtype = const_op.getDtype();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 14 04:37:13 UTC 2022 - 2.7K bytes - Viewed (0) -
tensorflow/c/experimental/ops/resource_variable_ops.cc
const char* name, const char* raw_device_name) { AbstractOperationPtr op_ptr(ctx->CreateOperation()); TF_RETURN_IF_ERROR(op_ptr->Reset("ReadVariableOp", raw_device_name)); TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name)); TF_RETURN_IF_ERROR(op_ptr->AddInput(resource)); TF_RETURN_IF_ERROR(op_ptr->SetAttrType("dtype", dtype)); int num_retvals = 1;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 19:11:36 UTC 2022 - 5.1K bytes - Viewed (0) -
tensorflow/cc/experimental/libtf/impl/tensor_spec_test.cc
tensorflow::PartialTensorShape unknown_shape; TensorSpec ts1; ts1.shape = unknown_shape; ts1.dtype = tensorflow::DT_FLOAT; TensorSpec ts2; ts2.shape = tensorflow::PartialTensorShape({2}); ts2.dtype = tensorflow::DT_FLOAT; TensorSpec ts3; ts3.shape = tensorflow::PartialTensorShape({1, 2}); ts3.dtype = tensorflow::DT_FLOAT; EXPECT_TRUE(absl::VerifyTypeImplementsAbslHashCorrectly({ts1, ts2, ts3})); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 09:47:46 UTC 2024 - 1.5K bytes - Viewed (0) -
tensorflow/cc/experimental/base/tests/tensor_test.cc
Tensor tensor = Tensor::FromBuffer( /*dtype=*/dtype, /*shape=*/shape, /*data=*/value.data(), /*len=*/value.size() * sizeof(typename TypeParam::type), /*deleter=*/[](void*, size_t) {}, &status); ASSERT_TRUE(status.ok()) << status.message(); EXPECT_EQ(tensor.dims(), 1); EXPECT_EQ(tensor.dtype(), dtype); absl::Span<const typename TypeParam::type> tensor_view(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 09:56:08 UTC 2024 - 6K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/core/saved_variable_loading_test.cc
// 1. does not cause an error // 2. preserves dtype and shape. TEST_P(SavedVariableLoadingTest, LoadSavedVariableSuccessful) { auto& test_params = GetParam(); DataType dtype = std::get<0>(test_params); TensorShape shape(std::get<1>(test_params)); SavedVariable saved_variable; saved_variable.set_dtype(dtype); shape.AsProto(saved_variable.mutable_shape()); std::unique_ptr<Variable> var;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 27 09:34:33 UTC 2024 - 6.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/op_stat_pass.cc
auto operand_or_result = value_shaped_type.getElementType(); std::string dtype; TypeSwitch<Type>(operand_or_result) .Case<IntegerType>([&](Type) { dtype = absl::StrCat("i", operand_or_result.getIntOrFloatBitWidth()); }) .Case<FloatType>([&](Type) { dtype = absl::StrCat("f", operand_or_result.getIntOrFloatBitWidth());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.7K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/core/ops/variable_ops.cc
DataType dtype, TensorShape shape, const char* raw_device_name, ImmediateTensorHandlePtr* handle) { ImmediateOpPtr varhandle_op(ctx->CreateOperation()); TF_RETURN_IF_ERROR(varhandle_op->Reset("VarHandleOp", raw_device_name)); TF_RETURN_IF_ERROR(varhandle_op->SetAttrType("dtype", dtype));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 11:28:19 UTC 2024 - 5K bytes - Viewed (0)