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tensorflow/c/c_api_internal.h
namespace tensorflow { // Set the shapes and types of the output's handle. // // The lengths of the arrays pointed to by `shapes`, `ranks`, and `types` must // all be equal to `num_shapes_and_types`. If `ranks[i] != -1`, (i.e., if the // rank is known), then it must be equal to the length of `shapes[i]`; if // `ranks[i] == 1`, then `shapes[i]` may be nullptr. //
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tensorflow/c/eager/immediate_execution_tensor_handle.h
// // -1 indicates an unknown axis length; this is unreachable for most standard // ImmediateExecutionTensorHandles, but comes up for example when computing // the shape of a parallel tensor with component shapes differing across // devices. virtual Status Dim(int dim_index, int64_t* dim) const = 0; // Returns the device which created the handle. virtual const char* DeviceName(Status* status) const = 0;
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docs/en/docs/img/deployment/https/https07.drawio
</mxCell> <mxCell id="32" value="" style="pointerEvents=1;shadow=0;dashed=0;html=1;fillColor=#505050;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;outlineConnect=0;align=center;shape=mxgraph.office.devices.laptop;strokeColor=none;" parent="33" vertex="1"> <mxGeometry width="500" height="350" as="geometry"/> </mxCell>
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docs/en/docs/img/deployment/https/https03.drawio
</mxCell> <mxCell id="32" value="" style="pointerEvents=1;shadow=0;dashed=0;html=1;fillColor=#505050;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;outlineConnect=0;align=center;shape=mxgraph.office.devices.laptop;strokeColor=none;" parent="33" vertex="1"> <mxGeometry width="500" height="350" as="geometry"/> </mxCell>
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tensorflow/c/c_test_util.cc
bool found_dtype = false; bool found_shape = false; for (const auto& attr : node_def.attr()) { if (attr.first == "dtype") { if (attr.second.type() == tensorflow::DT_INT32) { found_dtype = true; } else { return false; } } else if (attr.first == "shape") { found_shape = true; } } return found_dtype && found_shape; }
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tensorflow/c/c_api.h
// setting a shape of [-1, 2] with an existing shape [2, -1] would set // a final shape of [2, 2] based on shape merging semantics. // // Returns an error into `status` if: // * `output` is not in `graph`. // * An invalid shape is being set (e.g., the shape being set // is incompatible with the existing shape). TF_CAPI_EXPORT extern void TF_GraphSetTensorShape(TF_Graph* graph,
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docs/en/docs/img/tutorial/bigger-applications/package.drawio
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tensorflow/c/experimental/grappler/grappler.h
TF_CAPI_EXPORT extern void TF_DeleteGraphProperties( TF_GraphProperties* graph_properties); // Infer tensor shapes through abstract interpretation. // If assume_valid_feeds is true, it can help infer shapes in the fanout of fed // nodes. This may cause incorrectness in graph analyses, but is useful for // simulation or scheduling. // If aggressive_shape_inference is true, nodes are executed on the host to
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docs/en/docs/img/deployment/https/https02.drawio
</mxCell> <mxCell id="32" value="" style="pointerEvents=1;shadow=0;dashed=0;html=1;fillColor=#505050;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;outlineConnect=0;align=center;shape=mxgraph.office.devices.laptop;strokeColor=none;" parent="33" vertex="1"> <mxGeometry width="500" height="350" as="geometry"/> </mxCell>
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tensorflow/c/eager/gradient_checker.cc
AbstractTensorHandlePtr sum_dims; { vector<int32_t> vals(num_dims_out); int64_t vals_shape[] = {num_dims_out}; Range(&vals, 0, num_dims_out); AbstractTensorHandle* sum_dims_raw = nullptr; TF_RETURN_IF_ERROR(TestTensorHandleWithDims<int32_t, TF_INT32>( ctx, vals.data(), vals_shape, 1, &sum_dims_raw)); sum_dims.reset(sum_dims_raw); } // Reduce sum the output on all dimensions.
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