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Results 1 - 3 of 3 for irides (0.2 sec)
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tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util_test.cc
xla::Shape shape = xla::ShapeUtil::MakeShape(xla::S32, {1}); auto buffer = c_api_client->pjrt_c_client()->client->BufferFromHostBuffer( data.data(), shape.element_type(), shape.dimensions(), /*byte_strides=*/std::nullopt, xla::PjRtClient::HostBufferSemantics::kImmutableOnlyDuringCall, nullptr, c_api_client->pjrt_c_client()->client->addressable_devices()[0]); CHECK_OK(buffer.status());
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 30 19:20:20 GMT 2023 - 7.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
TF_DeleteTensor(tensor); TFE_DeleteTensorHandle(tensor_handle); std::vector<int64_t> values(4, 1); TFE_OpSetAttrIntList(op, "ksize", values.data(), values.size()); TFE_OpSetAttrIntList(op, "strides", values.data(), values.size()); const int BUFFER_SIZE = 10; char buffer[BUFFER_SIZE]; std::strncpy(buffer, "VALID", BUFFER_SIZE); TFE_OpSetAttrString(op, "padding", buffer, std::strlen(buffer));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/eager/dlpack.cc
// 1) nullptr indicates tensor is compact and row-majored. // 2) fill in the strides array as the real case for compact row-major data. // Here we choose option 2, since some frameworks didn't handle the strides // argument properly. dlm_tensor->dl_tensor.strides = stride_arr->data(); dlm_tensor->dl_tensor.byte_offset = 0; // TF doesn't handle the strides and byte_offsets here return static_cast<void*>(dlm_tensor); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0)