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Results 1 - 9 of 9 for SQUEEZE (0.17 sec)
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tensorflow/compiler/mlir/lite/transforms/dilated_conv.h
// extra ops are used, so we detect the following patterns: // // // SpaceToBatchND -> Expand -> Conv2D -> Squeeze -> BatchToSpaceND -> BiasAdd // // SpaceToBatchND -> Expand -> Conv2D -> Squeeze -> Pad -> BatchToSpaceND -> // BiasAdd // // SpaceToBatchND -> Expand -> Conv2D -> Squeeze -> BiasAdd -> BatchToSpaceND // // SpaceToBatchND -> Conv2D -> Pad -> BatchToSpaceND -> BiasAdd //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 20K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/unroll_batch_matmul.cc
int num_cols = tensorType.getShape()[rank - 1]; std::vector<Value> sliced; if (batch_size == 1) { // Batch size is 1, no splitting is required // Squeeze the batch dimension, i.e. reshape // [1, num_rows, num_cols] -> [num_rows, num_cols] auto reshape_op = createReshapeOp(value, {num_rows, num_cols}, element_type, loc, rewriter);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/canonicalize.mlir
%0 = "tfl.squeeze"(%arg0) : (tensor<?x?xf32>) -> tensor<?x?xf32> // CHECK: return %arg0 func.return %0 : tensor<?x?xf32> } // ----- // CHECK-LABEL: @squeeze_folder func.func @squeeze_folder(%arg0 : tensor<?x?xf32>) -> tensor<*xf32> { %0 = "tfl.squeeze"(%arg0) : (tensor<?x?xf32>) -> tensor<*xf32> // CHECK: "tfl.squeeze" func.return %0 : tensor<*xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.6K bytes - Viewed (0) -
src/runtime/map_fast64.go
continue } // Only clear key if there are pointers in it. if t.Key.Pointers() { if goarch.PtrSize == 8 { *(*unsafe.Pointer)(k) = nil } else { // There are three ways to squeeze at one or more 32 bit pointers into 64 bits. // Just call memclrHasPointers instead of trying to handle all cases here. memclrHasPointers(k, 8) } }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:17:26 UTC 2024 - 14.1K bytes - Viewed (0) -
src/net/conf_test.go
hostTests: []nssHostTest{ {"x.com", "myhostname", hostLookupFilesDNS}, {"somehostname", "myhostname", hostLookupFilesDNS}, {"myhostname", "myhostname", hostLookupCgo}, }, }, // Debian Squeeze is just "dns,files", but lists all // the default criteria for dns, but then has a // non-standard but redundant notfound=return for the // files. { name: "debian_squeeze", c: &conf{},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Feb 26 20:46:36 UTC 2024 - 12.3K 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/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) -
docs/en/docs/deployment/docker.md
### Number of Processes on the Official Docker Image The **number of processes** on this image is **computed automatically** from the CPU **cores** available. This means that it will try to **squeeze** as much **performance** from the CPU as possible. You can also adjust it with the configurations using **environment variables**, etc.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Sat May 18 23:43:13 UTC 2024 - 34K bytes - Viewed (0)