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tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
inputs={'x1': in_placeholder_1}, outputs={'output1': output_tensor_1} ) in_placeholder_2, output_tensor_2 = self._create_simple_tf1_conv_model() sig_def_2 = signature_def_utils_impl.predict_signature_def( inputs={'x2': in_placeholder_2}, outputs={'output2': output_tensor_2} )
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0) -
platforms/software/dependency-management/src/integTest/groovy/org/gradle/integtests/resolve/transform/ArtifactTransformCachingIntegrationTest.groovy
@Override void transform(TransformOutputs outputs) { // Simulate transform leaving file open def output = outputs.file("output.txt") output.createNewFile() TestState.fileKeptOpen = output.newOutputStream() TestState.fileKeptOpen << "output" TestState.fileKeptOpen.flush() }
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Fri Jun 07 11:52:44 UTC 2024 - 97.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/import_model.cc
std::vector<TensorId> outputs; output_node_names.reserve(specs.outputs.size()); for (const auto& output : specs.outputs) { TensorId tensor = ParseTensorName(output); auto remapped_it = remapped_feeds_.find(tensor); if (remapped_it != remapped_feeds_.end()) { output_node_names.insert(remapped_it->second); outputs.push_back({remapped_it->second, 0}); } else {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 183.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
let summary = [{While loop}]; let description = [{ output = input; while (cond(output)) { output = body(output) } While loop where all values are passes through arguments with implicit capture. input: A list of input tensors whose types are T. output: A list of output tensors whose types are T. cond: A region that takes 'input' and returns a boolean scalar tensor.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
} def ExecutorConvertControlToDataOutputsPass : Pass<"tf-executor-convert-control-to-data-outputs", "ModuleOp"> { let summary = "Chain control outputs of while loop body"; let description = [{ This pass converts the control outputs of a while loop body function to data outputs. Thus, inter iteration control dependencies are transformed to
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
// node we're updating is the right one for now we're just ensuring // they have the same number of input, output and first output is // the same if (key_inputs.size() == inputs.size() && key_outputs.size() == outputs.size() && key_outputs[0] == outputs[0]) { ret &= op->mutate_large_custom_options_offset(custom_op.second.first);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0) -
tensorflow/c/c_api.cc
} return outputs; } void TFOutputsFromOutputs(const std::vector<tensorflow::Output>& outputs, TF_Output* tf_outputs) { for (int i = 0; i < outputs.size(); i++) { tf_outputs[i].oper = ToOperation(outputs[i].node()); tf_outputs[i].index = outputs[i].index(); } } #endif // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 15 03:35:10 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc
// `tfl.batch_matmul` when it accepts uniform quantized tensors. // // StableHLO Quantizer output: // * input: per-tensor qi8 // * filter: per-channel qi8 for non-batching op, per-tensor for batching op. // * output: per-tensor qi32 // JAX Quantizer output: // * input: per-tensor qi8 // * filter: per-channel qi8 // * output: per-tensor qi8 // // Conditions for the `tfl.batch_matmul` conversion:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 09:00:19 UTC 2024 - 99.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_rewrite.mlir
} } // ----- // Tests that outputs are correctly merged and fed from TPU computation for // tiled output sharding with MAXIMAL sharding for one of the output and OTHER // for latter output. // The following OpSharding is used for TPU computation outputs in below test: // Proto debug string: // output 0 // type: MAXIMAL // tile_assignment_dimensions: 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 172.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.cc
return op->emitOpError() << "output #" << i << " should be " << expected_output_type << " instead got " << output.getType(); } return success(); } mlir::LogicalResult SplitOp::verify() { SplitOp op = *this; int64_t num_splits = op.getNumSplits(); if (op.getNumResults() != num_splits)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 169.2K bytes - Viewed (0)