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Results 1 - 10 of 14 for in_shape (0.14 sec)
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tensorflow/compiler/mlir/lite/utils/utils.h
std::vector<int64_t> in_shape{input_type.getShape().vec()}; std::vector<int64_t> out_shape{output_type.getShape().vec()}; // If the reshape changes the number of dimensions so it cannot be interpreted // as a transpose. if (in_shape.size() != out_shape.size()) { return false; } in_shape.erase(std::remove(in_shape.begin(), in_shape.end(), 1), in_shape.end());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/extract_outside_compilation.cc
ArrayRef<int64_t> in_shape = ranked_type.getShape(); if (in_shape.empty() || in_shape[0] < 0) { return context_op->emitOpError() << "A map_outside_compilation op's input and output shapes must " "have rank at least one and the first dimension must be known."; } int64_t split_size = in_shape[0] / num_cores_per_replica; if (in_shape[0] % num_cores_per_replica != 0) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 21:25:12 UTC 2024 - 68.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc
// https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/batch-mat-mul int64_t x_row_dim = x_shape[x_shape.size() - 2]; int64_t x_col_dim = x_shape[x_shape.size() - 1]; int64_t y_row_dim = y_shape[y_shape.size() - 2]; int64_t y_col_dim = y_shape[y_shape.size() - 1]; int64_t out_row_dim = output_shape[output_shape.size() - 2]; int64_t out_col_dim = output_shape[output_shape.size() - 1];
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 146.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test_base.py
contracting_dims.add(c) x_signature = [ None if c not in contracting_dims else x_shape[cidx] for cidx, c in enumerate(x_labels) ] y_signature = [ None if c not in contracting_dims else y_shape[cidx] for cidx, c in enumerate(y_labels) ] return x_shape, y_shape, bias_shape, x_signature, y_signature def _create_einsum_model( self,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 18.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
Value result = reduction.getResult(0); // The mean op needs to divide by the product of the reduced dimensions. if (std::is_same<OpTy, TF::MeanOp>::value) { Value in_shape = rewriter.create<shape::ShapeOfOp>(loc, op.getInput()); Value divisor_count = rewriter.create<arith::ConstantIndexOp>(loc, 1); for (size_t i = 0; i < input_shape.size(); ++i) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/internal/saved_model_api_test.cc
#include "tensorflow/c/experimental/saved_model/public/signature_def_param_list.h" #include "tensorflow/c/experimental/saved_model/public/tensor_spec.h" #include "tensorflow/c/tf_datatype.h" #include "tensorflow/c/tf_shape.h" #include "tensorflow/c/tf_status.h" #include "tensorflow/c/tf_tensor.h" #include "tensorflow/core/lib/io/path.h" #include "tensorflow/core/platform/status.h" #include "tensorflow/core/platform/stringpiece.h"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 08:08:45 UTC 2024 - 21.3K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_tpu_device.cc
TF_RETURN_IF_ERROR( tensorflow::TensorShapeToXLAShape(type, shape, &xla_shape)); ApiConverter::StackHelper<XLA_Shape> se_shape(xla_shape); ApiConverter::StackHelper<XLA_Shape> tpu_shape; StatusHelper status; stream_executor::tpu::ExecutorApiFn()->XlaShapeToTpuShapeRepresentationFn( &se_shape.value, type, use_fast_memory, &tpu_shape.value, status.c_status); if (!status.status().ok()) { return status.status();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 22:53:47 UTC 2024 - 20.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.cc
// https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/batch-mat-mul int64_t x_row_dim = x_shape[x_shape.size() - 2]; int64_t x_col_dim = x_shape[x_shape.size() - 1]; int64_t y_row_dim = y_shape[y_shape.size() - 2]; int64_t y_col_dim = y_shape[y_shape.size() - 1]; int64_t out_row_dim = output_shape[output_shape.size() - 2]; int64_t out_col_dim = output_shape[output_shape.size() - 1];
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 169.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.cc
TF_DeleteExecutionContext(ctx); return wrap(func); } TF_AbstractTensor* TF_AddFunctionParameter(TF_ExecutionContext* func, TF_DataType dtype, TF_Shape shape, TF_Status* s) { DCHECK_GE(shape.num_dims, -1); TracingTensorHandle* t; TracingContext* tracing_ctx = dyn_cast<TracingContext>(unwrap(func)); if (!tracing_ctx) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 10:15:17 UTC 2024 - 9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py
) def test_einsum_ptq_model( self, equation: str, ): _, y_shape, bias_shape, x_signature, y_signature = ( self._prepare_sample_einsum_datashapes(equation, use_bias=True) ) model = self._create_einsum_model( self._input_saved_model_path, equation, y_shape, x_signature, y_signature, bias_shape, )
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0)