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Results 31 - 34 of 34 for input_idx (0.24 sec)
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tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc
<< "multiples[" << i << "] = " << m; } if (!ShapedType::isDynamic(input_dim) && !ShapedType::isDynamic(output_dim) && output_dim != input_dim * m) { return op.emitOpError() << "requires input.shape[" << i << "] (" << input_dim << ")" << " * " << m << " to be equal to "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 170.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/import_model.cc
arg_nodes->resize(inputs.size()); ret_nodes->resize(outputs.size()); for (Node* n : GetOrderedNodes()) { // Handle inputs/arguments. auto input_it = inputs.find(n->name()); if (input_it != inputs.end()) { (*arg_nodes)[input_it->second] = {n, 0}; } // Handle outputs/returns. if (output_node_names.contains(n->name())) {
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/tensorflow/ir/tf_generated_ops.td
* [0, 255] for unsigned, num_bits = 8. If range_given == False, the initial input_min, input_max will be determined automatically as the minimum and maximum values in the input tensor, otherwise the specified values of input_min, input_max are used. Note: If the input_min, input_max are specified, they do not need to equal the actual minimum and maximum values in the tensor. e.g. in some cases it may be
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
int64_t size = padding_low[i] + shape[i] + (shape[i] - 1) * padding_interm[i]; padding_high.push_back(input_dim - size); } else { dims_to_reverse.push_back(i); padding_high.push_back(input_dim - begin_indices[i] - 1); padding_interm.push_back(-strides[i] - 1); // Pad the lower dimension up to the expected input shape.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0)