- Sort Score
- Result 10 results
- Languages All
Results 11 - 20 of 35 for Squeeze (0.12 sec)
-
tensorflow/cc/gradients/array_grad_test.cc
} TEST_F(ArrayGradTest, SqueezeGrad) { TensorShape x_shape({1, 5, 1, 2}); auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x_shape)); TensorShape y_shape({5, 2}); auto y = Squeeze(scope_, x); RunTest(x, x_shape, y, y_shape); } TEST_F(ArrayGradTest, TransposeGrad) { TensorShape x_shape({5, 2}); auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x_shape));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 10 23:33:32 UTC 2023 - 19.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_space_to_depth_pass.mlir
%12 = "tf.Cast"(%arg1) {Truncate = false} : (tensor<2x1xf32>) -> tensor<2x1xi64> %13 = "tf.Reshape"(%12, %9) : (tensor<2x1xi64>, tensor<1xi32>) -> tensor<2xi64> %14 = "tf.Squeeze"(%arg1) {squeeze_dims = [-1]} : (tensor<2x1xf32>) -> tensor<2xf32> // CHECK: "tf.Conv2D" // CHECK-SAME: strides = [1, 1, 1, 1]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 37.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/fuse-tftext.mlir
%267 = "tf.Reshape"(%266, %5) {device = ""} : (tensor<?x?xi1>, tensor<1xi32>) -> tensor<?xi1> %268 = "tf.Where"(%267) {device = ""} : (tensor<?xi1>) -> tensor<?x1xi64> %269 = "tf.Squeeze"(%268) {device = "", squeeze_dims = [1]} : (tensor<?x1xi64>) -> tensor<?xi64> %270 = "tf.GatherV2"(%264, %269, %14) {batch_dims = 0 : i64, device = ""} : (tensor<?xi64>, tensor<?xi64>, tensor<i32>) -> tensor<?xi64>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 460.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_model_test.cc
auto float_graph = readonly_model_->subgraphs()->Get(0); // The original model reshape->custom->custom->squeeze. ASSERT_THAT(*float_graph->operators(), SizeIs(4)); // The resulting model should be: // reshape->dequantize->custom->custom->quantize->squeeze. ASSERT_THAT(subgraph->operators, SizeIs(6)); const std::vector<BuiltinOperator> op_codes = {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 73.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
func.func @PadStridedSliceNewAxisMask2(%arg0: tensor<4x64x64x1xf32>) -> tensor<1x4x64x64xf32> { %cst = arith.constant dense<0> : tensor<3xi32> %cst_0 = arith.constant dense<1> : tensor<3xi32> %0 = "tf.Squeeze"(%arg0) {T = f32, _output_shapes = ["tfshape$dim { size: 4 } dim { size: 64 } dim { size: 64 }"], device = "", squeeze_dims = []} : (tensor<4x64x64x1xf32>) -> tensor<4x64x64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_v3b.fbs
PAD = 34, UNIDIRECTIONAL_SEQUENCE_RNN = 35, GATHER = 36, BATCH_TO_SPACE_ND = 37, SPACE_TO_BATCH_ND = 38, TRANSPOSE = 39, MEAN = 40, SUB = 41, DIV = 42, SQUEEZE = 43, UNIDIRECTIONAL_SEQUENCE_LSTM = 44, STRIDED_SLICE = 45, BIDIRECTIONAL_SEQUENCE_RNN = 46, EXP = 47, TOPK_V2 = 48, SPLIT = 49, LOG_SOFTMAX = 50,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 14:28:27 UTC 2024 - 30K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
%0 = "tf.Bitcast"(%arg0) : (tensor<2xf32>) -> tensor<2x2xf16> func.return %0 : tensor<2x2xf16> } // ----- // CHECK-LABEL: squeeze func.func @squeeze(%arg0: tensor<1x1x10xf32>) -> tensor<1x10xf32> { // CHECK: mhlo.reshape %0 = "tf.Squeeze"(%arg0) : (tensor<1x1x10xf32>) -> tensor<1x10xf32> func.return %0 : tensor<1x10xf32> } // ----- // CHECK-LABEL: squeeze_ranked
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema.fbs
PAD = 34, UNIDIRECTIONAL_SEQUENCE_RNN = 35, GATHER = 36, BATCH_TO_SPACE_ND = 37, SPACE_TO_BATCH_ND = 38, TRANSPOSE = 39, MEAN = 40, SUB = 41, DIV = 42, SQUEEZE = 43, UNIDIRECTIONAL_SEQUENCE_LSTM = 44, STRIDED_SLICE = 45, BIDIRECTIONAL_SEQUENCE_RNN = 46, EXP = 47, TOPK_V2 = 48, SPLIT = 49, LOG_SOFTMAX = 50,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.cc
const auto& expected_params = collected_quant_params[0]; for (int i = 1; i < collected_quant_params.size(); ++i) { const auto& compared_params = collected_quant_params[i]; // For some ops (such as Transpose or Squeeze), the quantized axis might not // be the same, this function only verifies the scale and zero point in // that case. The quantized axis should be verified in their own verifier // method.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 02:10:16 UTC 2024 - 43.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
This operation is related to `squeeze()`, which removes dimensions of size 1. }]; // TODO: Restriction on dim's size and valid range are not modeled here. let arguments = (ins AnyTensor:$input, TFL_I32OrI64Tensor:$dim); let results = (outs AnyTensor:$output); let hasOptions = 1; } def TFL_SqueezeOp: TFL_Op<"squeeze", [Pure,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0)